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๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐’๐ž๐ง๐ญ๐ข๐ž๐ง๐ญ ๐๐ž๐ญ๐š ๐ข๐ฌ ๐‹๐ข๐ฏ๐ž โ€“ $DSYNC ๐ƒ๐ž๐ฉ๐ฅ๐จ๐ฒ ๐˜๐จ๐ฎ๐ซ ๐Ž๐ง-๐‚๐ก๐š๐ข๐ง ๐€๐ˆ ๐€๐ ๐ž๐ง๐ญ ๐“๐จ๐๐š๐ฒ The future of autonomous intelligence is here. Destra Sentient ๐Ÿ๐ฎ๐ฅ๐ฅ๐ฒ ๐จ๐ง-๐œ๐ก๐š๐ข๐ง ๐€๐ˆ ๐š๐ ๐ž๐ง๐ญ ๐ฉ๐ฅ๐š๐ญ๐Ÿ๐จ๐ซ๐ฆ โ€” ๐ข๐ฌ ๐ง๐จ๐ฐ ๐ฅ๐ข๐ฏ๐ž ๐จ๐ง ๐ญ๐ž๐ฌ๐ญ๐ง๐ž๐ญ. ๐๐จ ๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐›๐š๐œ๐ค๐ž๐ง๐. ๐๐จ ๐จ๐Ÿ๐Ÿ-๐œ๐ก๐š๐ข๐ง ๐ญ๐ซ๐ข๐ ๐ ๐ž๐ซ๐ฌ. ๐‰๐ฎ๐ฌ๐ญ ๐ฉ๐ฎ๐ซ๐ž, ๐๐ž๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐, ๐ฌ๐ž๐ฅ๐Ÿ-๐จ๐ฉ๐ž๐ซ๐š๐ญ๐ข๐ง๐  ๐€๐ˆ ๐ฎ๐ง๐๐ž๐ซ ๐ฒ๐จ๐ฎ๐ซ ๐œ๐จ๐ง๐ญ๐ซ๐จ๐ฅ. ๐‡๐จ๐ฐ ๐ญ๐จ...

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Destra Network

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126,843 views โ€ข 1 year ago โ€ขvia X (Twitter)

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Destra Network's profile picture
Destra Network1 year ago

Only Use Official Links: โ€ขOfficial Staking Platform: โ€ขOfficial Website: โ€ขDouble-check URLs before connecting your wallet โ€ขBookmark official Destra links for quick and safe access โ€ขNEVER share your private keys or seed phrases with anyone โš ๏ธ Important Security Notice: Stay Safe from Scams & Phishing โš ๏ธ Please be extremely cautious of fake links and phishing attempts. Scammers often create websites that look similar to official platforms to steal your information.

The Information's profile picture
The Information1 year ago

Meta AI researchers are fretting over the threat of Chinese AI, whose quality caught American firms, including OpenAI, by surprise.

Zach's profile picture
Zach1 year ago

Bullish $DSYNC

CryptoSkull ๐Ÿ’€ ze last bull standing's profile picture
CryptoSkull ๐Ÿ’€ ze last bull standing1 year ago

Fire ๐Ÿ”ฅ

Caff's profile picture
Caff1 year ago

Come on then $DSYNC

๐Ÿง  investor's profile picture
๐Ÿง  investor1 year ago

The gem of gems

ElonTrades's profile picture
ElonTrades1 year ago

Keep building. We know whatโ€™ll pop off when things turn around.

Snipooor's profile picture
Snipooor1 year ago

Non. Stop. Building. In a sea of pure vaporware and larps

Trader Tarzan's profile picture
Trader Tarzan1 year ago

๐Ÿš€

Photofelix.eth/.btc's profile picture
Photofelix.eth/.btc1 year ago

Keep building #DSYNC

CK's profile picture
CK1 year ago

@dexaarZ1 always building ๐Ÿ‘

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๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐’๐ž๐ง๐ญ๐ข๐ž๐ง๐ญ: ๐“๐ก๐ž ๐…๐ฎ๐ญ๐ฎ๐ซ๐ž ๐จ๐Ÿ ๐Ž๐ง-๐‚๐ก๐š๐ข๐ง ๐€๐ˆ ๐ข๐ฌ ๐‡๐ž๐ซ๐ž โ€“ $DSYNC ๐“๐ž๐ฌ๐ญ๐ข๐ง๐  ๐๐ก๐š๐ฌ๐ž ๐๐ž๐ ๐ข๐ง๐ฌ The next evolution of on-chain AI is unfolding. ๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐’๐ž๐ง๐ญ๐ข๐ž๐ง๐ญ ๐ข๐ฌ ๐š ๐ฉ๐ฅ๐š๐ญ๐Ÿ๐จ๐ซ๐ฆ ๐ญ๐ก๐š๐ญ ๐š๐ฅ๐ฅ๐จ๐ฐ๐ฌ ๐š๐ง๐ฒ๐จ๐ง๐ž ๐ญ๐จ ๐๐ž๐ฉ๐ฅ๐จ๐ฒ ๐ญ๐ก๐ž๐ข๐ซ ๐จ๐ฐ๐ง ๐š๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐จ๐ฎ๐ฌ ๐€๐ˆ ๐š๐ ๐ž๐ง๐ญ directly on-chainโ€”in just three simple steps. Now, weโ€™re entering the testing phase, where weโ€™re pushing the system to its limits to ensure it delivers seamless performance before its official launch. ๐–๐ก๐š๐ญ ๐Œ๐š๐ค๐ž๐ฌ ๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐’๐ž๐ง๐ญ๐ข๐ž๐ง๐ญ ๐ƒ๐ข๐Ÿ๐Ÿ๐ž๐ซ๐ž๐ง๐ญ? At its core, Destra Sentient is ๐ฉ๐จ๐ฐ๐ž๐ซ๐ž๐ ๐›๐ฒ ๐š ๐‡๐ข๐ฏ๐ž ๐Œ๐ข๐ง๐ ๐€๐ซ๐œ๐ก๐ข๐ญ๐ž๐œ๐ญ๐ฎ๐ซ๐ž, setting it apart from any existing AI model. Unlike traditional AI that operates in isolation, ๐’๐ž๐ง๐ญ๐ข๐ž๐ง๐ญ ๐€๐ˆ ๐š๐ ๐ž๐ง๐ญ๐ฌ ๐š๐ซ๐ž ๐ข๐ง๐ญ๐ž๐ซ๐œ๐จ๐ง๐ง๐ž๐œ๐ญ๐ž๐โ€”๐ญ๐ก๐ž๐ฒ ๐œ๐š๐ง ๐ฅ๐ž๐š๐ซ๐ง, ๐š๐๐š๐ฉ๐ญ, ๐š๐ง๐ ๐œ๐จ๐ฅ๐ฅ๐š๐›๐จ๐ซ๐š๐ญ๐ž ๐š๐œ๐ซ๐จ๐ฌ๐ฌ ๐ญ๐ก๐ž ๐ง๐ž๐ญ๐ฐ๐จ๐ซ๐ค. This allows them to: โœ… Share intelligence across different agents for improved decision-making โœ… Execute complex on-chain tasks autonomously without human intervention โœ… Evolve over time, leveraging real-time on-chain analytics to become more efficient This is true autonomy in AIโ€”where agents arenโ€™t just passive tools but self-executing, self-improving entities that can interact with smart contracts, users, and each other without relying on centralized control. ๐–๐ก๐ฒ ๐“๐ก๐ข๐ฌ ๐“๐ž๐ฌ๐ญ๐ข๐ง๐  ๐๐ก๐š๐ฌ๐ž ๐Œ๐š๐ญ๐ญ๐ž๐ซ๐ฌ? This testing phase is critical๐–๐žโ€™๐ฅ๐ฅ ๐›๐ž ๐ ๐š๐ญ๐ก๐ž๐ซ๐ข๐ง๐  ๐ซ๐ž๐š๐ฅ-๐ฐ๐จ๐ซ๐ฅ๐ ๐๐š๐ญ๐š, ๐ซ๐ž๐Ÿ๐ข๐ง๐ข๐ง๐  ๐š๐ ๐ž๐ง๐ญ ๐œ๐š๐ฉ๐š๐›๐ข๐ฅ๐ข๐ญ๐ข๐ž๐ฌ, ๐š๐ง๐ ๐ž๐ง๐ก๐š๐ง๐œ๐ข๐ง๐  ๐ญ๐ก๐ž ๐จ๐ฏ๐ž๐ซ๐š๐ฅ๐ฅ ๐ฎ๐ฌ๐ž๐ซ ๐ž๐ฑ๐ฉ๐ž๐ซ๐ข๐ž๐ง๐œ๐ž.The insights gained here will shape the final version of Destra Sentient as we move toward mainnet launch. ๐ˆ๐ง ๐ญ๐ก๐ž ๐๐ž๐ฆ๐จ ๐ฏ๐ข๐๐ž๐จ ๐š๐ญ๐ญ๐š๐œ๐ก๐ž๐ ,๐ฐ๐ž ๐š๐ซ๐ž ๐ฌ๐ก๐จ๐ฐ๐œ๐š๐ฌ๐ข๐ง๐  ๐ฃ๐ฎ๐ฌ๐ญ ๐ก๐จ๐ฐ ๐ž๐š๐ฌ๐ฒ ๐ข๐ญ ๐ข๐ฌ ๐ญ๐จ ๐๐ž๐ฉ๐ฅ๐จ๐ฒ ๐š๐ง ๐€๐ˆ ๐š๐ ๐ž๐ง๐ญ ๐ฎ๐ฌ๐ข๐ง๐  ๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐’๐ž๐ง๐ญ๐ข๐ž๐ง๐ญ. Connect it to X (formerly Twitter) via API keys and put it into actionโ€”demonstrating its capabilities in a live interaction. ๐๐ž ๐๐š๐ซ๐ญ ๐จ๐Ÿ ๐ญ๐ก๐ž ๐…๐ฎ๐ญ๐ฎ๐ซ๐ž Stay tuned for updates as we refine the protocol, and get ready to be among the first to experience the next generation of on-chain AI.
2:24

๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐’๐ž๐ง๐ญ๐ข๐ž๐ง๐ญ: ๐“๐ก๐ž ๐…๐ฎ๐ญ๐ฎ๐ซ๐ž ๐จ๐Ÿ ๐Ž๐ง-๐‚๐ก๐š๐ข๐ง ๐€๐ˆ ๐ข๐ฌ ๐‡๐ž๐ซ๐ž โ€“ $DSYNC ๐“๐ž๐ฌ๐ญ๐ข๐ง๐  ๐๐ก๐š๐ฌ๐ž ๐๐ž๐ ๐ข๐ง๐ฌ The next evolution of on-chain AI is unfolding. ๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐’๐ž๐ง๐ญ๐ข๐ž๐ง๐ญ ๐ข๐ฌ ๐š ๐ฉ๐ฅ๐š๐ญ๐Ÿ๐จ๐ซ๐ฆ ๐ญ๐ก๐š๐ญ ๐š๐ฅ๐ฅ๐จ๐ฐ๐ฌ ๐š๐ง๐ฒ๐จ๐ง๐ž ๐ญ๐จ ๐๐ž๐ฉ๐ฅ๐จ๐ฒ ๐ญ๐ก๐ž๐ข๐ซ ๐จ๐ฐ๐ง ๐š๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐จ๐ฎ๐ฌ ๐€๐ˆ ๐š๐ ๐ž๐ง๐ญ directly on-chainโ€”in just three simple steps. Now, weโ€™re entering the testing phase, where weโ€™re pushing the system to its limits to ensure it delivers seamless performance before its official launch. ๐–๐ก๐š๐ญ ๐Œ๐š๐ค๐ž๐ฌ ๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐’๐ž๐ง๐ญ๐ข๐ž๐ง๐ญ ๐ƒ๐ข๐Ÿ๐Ÿ๐ž๐ซ๐ž๐ง๐ญ? At its core, Destra Sentient is ๐ฉ๐จ๐ฐ๐ž๐ซ๐ž๐ ๐›๐ฒ ๐š ๐‡๐ข๐ฏ๐ž ๐Œ๐ข๐ง๐ ๐€๐ซ๐œ๐ก๐ข๐ญ๐ž๐œ๐ญ๐ฎ๐ซ๐ž, setting it apart from any existing AI model. Unlike traditional AI that operates in isolation, ๐’๐ž๐ง๐ญ๐ข๐ž๐ง๐ญ ๐€๐ˆ ๐š๐ ๐ž๐ง๐ญ๐ฌ ๐š๐ซ๐ž ๐ข๐ง๐ญ๐ž๐ซ๐œ๐จ๐ง๐ง๐ž๐œ๐ญ๐ž๐โ€”๐ญ๐ก๐ž๐ฒ ๐œ๐š๐ง ๐ฅ๐ž๐š๐ซ๐ง, ๐š๐๐š๐ฉ๐ญ, ๐š๐ง๐ ๐œ๐จ๐ฅ๐ฅ๐š๐›๐จ๐ซ๐š๐ญ๐ž ๐š๐œ๐ซ๐จ๐ฌ๐ฌ ๐ญ๐ก๐ž ๐ง๐ž๐ญ๐ฐ๐จ๐ซ๐ค. This allows them to: โœ… Share intelligence across different agents for improved decision-making โœ… Execute complex on-chain tasks autonomously without human intervention โœ… Evolve over time, leveraging real-time on-chain analytics to become more efficient This is true autonomy in AIโ€”where agents arenโ€™t just passive tools but self-executing, self-improving entities that can interact with smart contracts, users, and each other without relying on centralized control. ๐–๐ก๐ฒ ๐“๐ก๐ข๐ฌ ๐“๐ž๐ฌ๐ญ๐ข๐ง๐  ๐๐ก๐š๐ฌ๐ž ๐Œ๐š๐ญ๐ญ๐ž๐ซ๐ฌ? This testing phase is critical๐–๐žโ€™๐ฅ๐ฅ ๐›๐ž ๐ ๐š๐ญ๐ก๐ž๐ซ๐ข๐ง๐  ๐ซ๐ž๐š๐ฅ-๐ฐ๐จ๐ซ๐ฅ๐ ๐๐š๐ญ๐š, ๐ซ๐ž๐Ÿ๐ข๐ง๐ข๐ง๐  ๐š๐ ๐ž๐ง๐ญ ๐œ๐š๐ฉ๐š๐›๐ข๐ฅ๐ข๐ญ๐ข๐ž๐ฌ, ๐š๐ง๐ ๐ž๐ง๐ก๐š๐ง๐œ๐ข๐ง๐  ๐ญ๐ก๐ž ๐จ๐ฏ๐ž๐ซ๐š๐ฅ๐ฅ ๐ฎ๐ฌ๐ž๐ซ ๐ž๐ฑ๐ฉ๐ž๐ซ๐ข๐ž๐ง๐œ๐ž.The insights gained here will shape the final version of Destra Sentient as we move toward mainnet launch. ๐ˆ๐ง ๐ญ๐ก๐ž ๐๐ž๐ฆ๐จ ๐ฏ๐ข๐๐ž๐จ ๐š๐ญ๐ญ๐š๐œ๐ก๐ž๐ ,๐ฐ๐ž ๐š๐ซ๐ž ๐ฌ๐ก๐จ๐ฐ๐œ๐š๐ฌ๐ข๐ง๐  ๐ฃ๐ฎ๐ฌ๐ญ ๐ก๐จ๐ฐ ๐ž๐š๐ฌ๐ฒ ๐ข๐ญ ๐ข๐ฌ ๐ญ๐จ ๐๐ž๐ฉ๐ฅ๐จ๐ฒ ๐š๐ง ๐€๐ˆ ๐š๐ ๐ž๐ง๐ญ ๐ฎ๐ฌ๐ข๐ง๐  ๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐’๐ž๐ง๐ญ๐ข๐ž๐ง๐ญ. Connect it to X (formerly Twitter) via API keys and put it into actionโ€”demonstrating its capabilities in a live interaction. ๐๐ž ๐๐š๐ซ๐ญ ๐จ๐Ÿ ๐ญ๐ก๐ž ๐…๐ฎ๐ญ๐ฎ๐ซ๐ž Stay tuned for updates as we refine the protocol, and get ready to be among the first to experience the next generation of on-chain AI.

Destra Network

103,464 views โ€ข 1 year ago

๐ˆ๐ง๐ญ๐ซ๐จ๐๐ฎ๐œ๐ข๐ง๐  ๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐€๐ ๐ž๐ง๐ญ ๐— ๐๐ž๐ญ๐š: $DSYNC ๐“๐ก๐ž ๐–๐จ๐ซ๐ฅ๐โ€™๐ฌ ๐…๐ข๐ซ๐ฌ๐ญ ๐“๐ซ๐ฎ๐ฅ๐ฒ ๐ƒ๐ž๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐€๐ˆ ๐€๐ ๐ž๐ง๐ญ Meet Agent X, the first creation of Destra Sentient, ๐ฉ๐จ๐ฐ๐ž๐ซ๐ž๐ ๐›๐ฒ ๐จ๐ฎ๐ซ ๐๐ž๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐ข๐ง๐Ÿ๐ซ๐š๐ฌ๐ญ๐ซ๐ฎ๐œ๐ญ๐ฎ๐ซ๐ž. This is the first true decentralized AI agent, ensuring unparalleled security, transparency, and scalability through our network of independent nodes. At its core is our ๐‡๐ข๐ฏ๐ž๐Œ๐ข๐ง๐ ๐š๐ซ๐œ๐ก๐ข๐ญ๐ž๐œ๐ญ๐ฎ๐ซ๐ž, where Agent X ๐ข๐๐ž๐ง๐ญ๐ข๐Ÿ๐ข๐ž๐ฌ ๐ฒ๐จ๐ฎ๐ซ ๐ข๐ง๐ญ๐ž๐ง๐ญ and ๐ข๐ง๐ญ๐ž๐ฅ๐ฅ๐ข๐ ๐ž๐ง๐ญ๐ฅ๐ฒ ๐๐ž๐ฅ๐ž๐ ๐š๐ญ๐ž๐ฌ ๐ญ๐š๐ฌ๐ค๐ฌ ๐ญ๐จ ๐ฌ๐ฉ๐ž๐œ๐ข๐š๐ฅ๐ข๐ณ๐ž๐ ๐€๐ˆ ๐š๐ ๐ž๐ง๐ญ๐ฌ, ๐ž๐š๐œ๐ก ๐š๐ง ๐ž๐ฑ๐ฉ๐ž๐ซ๐ญ ๐ข๐ง ๐ข๐ญ๐ฌ ๐๐จ๐ฆ๐š๐ข๐ง. Powered by the Destra NPC Framework, built on Python, it supports seamless multi-agent collaboration and allows developers to easily build and expand using Python giving users unmatched flexibility. In this video, three key agents demonstrate the power of intelligent delegation: ๐Ÿ.๐“๐ก๐ž ๐’๐จ๐œ๐ข๐š๐ฅ ๐’๐ž๐ง๐ญ๐ข๐ง๐ž๐ฅ: This agent, acting as the eyes and ears on social platforms, forums, and online communities, is scanning Twitter, Reddit, Discord, and other spaces to gather the latest discussions, trends, and insights. From trending hashtags to niche group conversations, the Social Sentinel Agent is providing a comprehensive snapshot of whatโ€™s buzzing in the space. ๐Ÿ.๐“๐ก๐ž ๐Œ๐š๐ซ๐ค๐ž๐ญ ๐’๐ž๐ง๐ญ๐ข๐ง๐ž๐ฅ: This agent is keeping its finger on the pulse of the crypto markets, analyzing blockchain activity, monitoring market trends, and generating actionable insights related to cryptocurrencies, DeFi, and emerging technologies. Whether itโ€™s spotting a spike in trading volume or explaining the implications of a new protocol upgrade, the Market Sentinel is delivering precision. ๐Ÿ‘.๐“๐ก๐ž ๐–๐ข๐ญ ๐’๐ž๐ง๐ญ๐ข๐ง๐ž๐ฅ: This agent, specializing in humor and conversational charm, is ensuring that responses are not just accurate but also engaging, injecting personality and savagery. Whether delivering a witty reply or adding savagery, the Wit Sentinel is making interactions delightful. ๐”๐ง๐ฅ๐ข๐ค๐ž ๐ญ๐ซ๐š๐๐ข๐ญ๐ข๐จ๐ง๐š๐ฅ ๐€๐ˆ๐ฌ ๐ญ๐ก๐š๐ญ ๐ซ๐ž๐ฅ๐ฒ ๐จ๐ง ๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐ฌ๐ฒ๐ฌ๐ญ๐ž๐ฆ๐ฌ, ๐€๐ ๐ž๐ง๐ญ ๐— ๐ฎ๐ฌ๐ž๐ฌ ๐ฌ๐ฉ๐ž๐œ๐ข๐š๐ฅ๐ข๐ณ๐ž๐ ๐š๐ ๐ž๐ง๐ญ๐ฌ ๐ญ๐ก๐š๐ญ ๐œ๐จ๐ฅ๐ฅ๐š๐›๐จ๐ซ๐š๐ญ๐ž ๐ฌ๐ž๐š๐ฆ๐ฅ๐ž๐ฌ๐ฌ๐ฅ๐ฒ ๐ฎ๐ง๐๐ž๐ซ ๐ญ๐ก๐ž ๐ ๐ฎ๐ข๐๐š๐ง๐œ๐ž ๐จ๐Ÿ ๐ญ๐ก๐ž ๐‡๐ข๐ฏ๐ž๐Œ๐ข๐ง๐ ๐๐ฎ๐ž๐ž๐ง ๐๐ž๐ž ๐š๐ง๐ ๐š๐œ๐ญ ๐š๐ฌ ๐จ๐ง๐ž. This modular, decentralized system ensures responses are faster, deeper, and more precise. Agent X ๐ž๐ฏ๐จ๐ฅ๐ฏ๐ž๐ฌ ๐ฐ๐ข๐ญ๐ก ๐ž๐ฏ๐ž๐ซ๐ฒ ๐ข๐ง๐ญ๐ž๐ซ๐š๐œ๐ญ๐ข๐จ๐ง, adding new agents to the HiveMind, each designed to excel in its niche. This is AI reimagined: intelligent, modular, and decentralized. With Agent X, youโ€™re not just chatting with an AIโ€”๐ฒ๐จ๐ฎโ€™๐ซ๐ž ๐ž๐ฑ๐ฉ๐ž๐ซ๐ข๐ž๐ง๐œ๐ข๐ง๐  ๐š ๐ญ๐ž๐š๐ฆ ๐จ๐Ÿ ๐๐จ๐ฆ๐š๐ข๐ง ๐ž๐ฑ๐ฉ๐ž๐ซ๐ญ๐ฌ ๐ฐ๐จ๐ซ๐ค๐ข๐ง๐  ๐ข๐ง ๐ซ๐ž๐š๐ฅ ๐ญ๐ข๐ฆ๐ž. Agent X is coming to X (Twitter this week) ๐“๐ก๐ž ๐ฏ๐ข๐๐ž๐จ ๐š๐ญ๐ญ๐š๐œ๐ก๐ž๐ ๐๐ข๐ฌ๐ฉ๐ฅ๐š๐ฒ๐ฌ ๐ข๐ญ ๐ข๐ง ๐ญ๐ž๐ฌ๐ญ๐ข๐ง๐  ๐ฉ๐ก๐š๐ฌ๐ž, ๐ข๐ญโ€™๐ฌ ๐ฉ๐ฎ๐ซ๐ฉ๐จ๐ฌ๐ž๐ฅ๐ฒ ๐ฆ๐š๐๐ž ๐ญ๐จ ๐ญ๐ž๐ฌ๐ญ ๐ฐ๐ข๐ญ๐ญ๐ฒ ๐ง๐š๐ญ๐ฎ๐ซ๐ž ๐จ๐Ÿ ๐ญ๐ก๐ž ๐›๐จ๐ญ ๐›๐ž๐œ๐š๐ฎ๐ฌ๐ž ๐ฐ๐ž ๐ค๐ง๐จ๐ฐ ๐ญ๐ก๐š๐ญโ€™๐ฌ ๐ฐ๐ก๐š๐ญ ๐ฒ๐จ๐ฎ ๐ฅ๐ข๐ค๐ž. The HiveMind is here. The future is decentralized. Are you ready?
4:05

๐ˆ๐ง๐ญ๐ซ๐จ๐๐ฎ๐œ๐ข๐ง๐  ๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐€๐ ๐ž๐ง๐ญ ๐— ๐๐ž๐ญ๐š: $DSYNC ๐“๐ก๐ž ๐–๐จ๐ซ๐ฅ๐โ€™๐ฌ ๐…๐ข๐ซ๐ฌ๐ญ ๐“๐ซ๐ฎ๐ฅ๐ฒ ๐ƒ๐ž๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐€๐ˆ ๐€๐ ๐ž๐ง๐ญ Meet Agent X, the first creation of Destra Sentient, ๐ฉ๐จ๐ฐ๐ž๐ซ๐ž๐ ๐›๐ฒ ๐จ๐ฎ๐ซ ๐๐ž๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐ข๐ง๐Ÿ๐ซ๐š๐ฌ๐ญ๐ซ๐ฎ๐œ๐ญ๐ฎ๐ซ๐ž. This is the first true decentralized AI agent, ensuring unparalleled security, transparency, and scalability through our network of independent nodes. At its core is our ๐‡๐ข๐ฏ๐ž๐Œ๐ข๐ง๐ ๐š๐ซ๐œ๐ก๐ข๐ญ๐ž๐œ๐ญ๐ฎ๐ซ๐ž, where Agent X ๐ข๐๐ž๐ง๐ญ๐ข๐Ÿ๐ข๐ž๐ฌ ๐ฒ๐จ๐ฎ๐ซ ๐ข๐ง๐ญ๐ž๐ง๐ญ and ๐ข๐ง๐ญ๐ž๐ฅ๐ฅ๐ข๐ ๐ž๐ง๐ญ๐ฅ๐ฒ ๐๐ž๐ฅ๐ž๐ ๐š๐ญ๐ž๐ฌ ๐ญ๐š๐ฌ๐ค๐ฌ ๐ญ๐จ ๐ฌ๐ฉ๐ž๐œ๐ข๐š๐ฅ๐ข๐ณ๐ž๐ ๐€๐ˆ ๐š๐ ๐ž๐ง๐ญ๐ฌ, ๐ž๐š๐œ๐ก ๐š๐ง ๐ž๐ฑ๐ฉ๐ž๐ซ๐ญ ๐ข๐ง ๐ข๐ญ๐ฌ ๐๐จ๐ฆ๐š๐ข๐ง. Powered by the Destra NPC Framework, built on Python, it supports seamless multi-agent collaboration and allows developers to easily build and expand using Python giving users unmatched flexibility. In this video, three key agents demonstrate the power of intelligent delegation: ๐Ÿ.๐“๐ก๐ž ๐’๐จ๐œ๐ข๐š๐ฅ ๐’๐ž๐ง๐ญ๐ข๐ง๐ž๐ฅ: This agent, acting as the eyes and ears on social platforms, forums, and online communities, is scanning Twitter, Reddit, Discord, and other spaces to gather the latest discussions, trends, and insights. From trending hashtags to niche group conversations, the Social Sentinel Agent is providing a comprehensive snapshot of whatโ€™s buzzing in the space. ๐Ÿ.๐“๐ก๐ž ๐Œ๐š๐ซ๐ค๐ž๐ญ ๐’๐ž๐ง๐ญ๐ข๐ง๐ž๐ฅ: This agent is keeping its finger on the pulse of the crypto markets, analyzing blockchain activity, monitoring market trends, and generating actionable insights related to cryptocurrencies, DeFi, and emerging technologies. Whether itโ€™s spotting a spike in trading volume or explaining the implications of a new protocol upgrade, the Market Sentinel is delivering precision. ๐Ÿ‘.๐“๐ก๐ž ๐–๐ข๐ญ ๐’๐ž๐ง๐ญ๐ข๐ง๐ž๐ฅ: This agent, specializing in humor and conversational charm, is ensuring that responses are not just accurate but also engaging, injecting personality and savagery. Whether delivering a witty reply or adding savagery, the Wit Sentinel is making interactions delightful. ๐”๐ง๐ฅ๐ข๐ค๐ž ๐ญ๐ซ๐š๐๐ข๐ญ๐ข๐จ๐ง๐š๐ฅ ๐€๐ˆ๐ฌ ๐ญ๐ก๐š๐ญ ๐ซ๐ž๐ฅ๐ฒ ๐จ๐ง ๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐ฌ๐ฒ๐ฌ๐ญ๐ž๐ฆ๐ฌ, ๐€๐ ๐ž๐ง๐ญ ๐— ๐ฎ๐ฌ๐ž๐ฌ ๐ฌ๐ฉ๐ž๐œ๐ข๐š๐ฅ๐ข๐ณ๐ž๐ ๐š๐ ๐ž๐ง๐ญ๐ฌ ๐ญ๐ก๐š๐ญ ๐œ๐จ๐ฅ๐ฅ๐š๐›๐จ๐ซ๐š๐ญ๐ž ๐ฌ๐ž๐š๐ฆ๐ฅ๐ž๐ฌ๐ฌ๐ฅ๐ฒ ๐ฎ๐ง๐๐ž๐ซ ๐ญ๐ก๐ž ๐ ๐ฎ๐ข๐๐š๐ง๐œ๐ž ๐จ๐Ÿ ๐ญ๐ก๐ž ๐‡๐ข๐ฏ๐ž๐Œ๐ข๐ง๐ ๐๐ฎ๐ž๐ž๐ง ๐๐ž๐ž ๐š๐ง๐ ๐š๐œ๐ญ ๐š๐ฌ ๐จ๐ง๐ž. This modular, decentralized system ensures responses are faster, deeper, and more precise. Agent X ๐ž๐ฏ๐จ๐ฅ๐ฏ๐ž๐ฌ ๐ฐ๐ข๐ญ๐ก ๐ž๐ฏ๐ž๐ซ๐ฒ ๐ข๐ง๐ญ๐ž๐ซ๐š๐œ๐ญ๐ข๐จ๐ง, adding new agents to the HiveMind, each designed to excel in its niche. This is AI reimagined: intelligent, modular, and decentralized. With Agent X, youโ€™re not just chatting with an AIโ€”๐ฒ๐จ๐ฎโ€™๐ซ๐ž ๐ž๐ฑ๐ฉ๐ž๐ซ๐ข๐ž๐ง๐œ๐ข๐ง๐  ๐š ๐ญ๐ž๐š๐ฆ ๐จ๐Ÿ ๐๐จ๐ฆ๐š๐ข๐ง ๐ž๐ฑ๐ฉ๐ž๐ซ๐ญ๐ฌ ๐ฐ๐จ๐ซ๐ค๐ข๐ง๐  ๐ข๐ง ๐ซ๐ž๐š๐ฅ ๐ญ๐ข๐ฆ๐ž. Agent X is coming to X (Twitter this week) ๐“๐ก๐ž ๐ฏ๐ข๐๐ž๐จ ๐š๐ญ๐ญ๐š๐œ๐ก๐ž๐ ๐๐ข๐ฌ๐ฉ๐ฅ๐š๐ฒ๐ฌ ๐ข๐ญ ๐ข๐ง ๐ญ๐ž๐ฌ๐ญ๐ข๐ง๐  ๐ฉ๐ก๐š๐ฌ๐ž, ๐ข๐ญโ€™๐ฌ ๐ฉ๐ฎ๐ซ๐ฉ๐จ๐ฌ๐ž๐ฅ๐ฒ ๐ฆ๐š๐๐ž ๐ญ๐จ ๐ญ๐ž๐ฌ๐ญ ๐ฐ๐ข๐ญ๐ญ๐ฒ ๐ง๐š๐ญ๐ฎ๐ซ๐ž ๐จ๐Ÿ ๐ญ๐ก๐ž ๐›๐จ๐ญ ๐›๐ž๐œ๐š๐ฎ๐ฌ๐ž ๐ฐ๐ž ๐ค๐ง๐จ๐ฐ ๐ญ๐ก๐š๐ญโ€™๐ฌ ๐ฐ๐ก๐š๐ญ ๐ฒ๐จ๐ฎ ๐ฅ๐ข๐ค๐ž. The HiveMind is here. The future is decentralized. Are you ready?

Destra Network

194,056 views โ€ข 1 year ago

$DSYNC ๐๐ซ๐ข๐ฆ๐ฎ๐ฌ ๐Ÿ.๐ŸŽ: ๐“๐ก๐ž ๐…๐ข๐ซ๐ฌ๐ญ ๐€๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐จ๐ฎ๐ฌ ๐Ž๐ง-๐‚๐ก๐š๐ข๐ง ๐€๐ˆ ๐ƒ๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ž๐ซ In the video, youโ€™ll witness ๐๐ซ๐ข๐ฆ๐ฎ๐ฌ ๐Ÿ.๐ŸŽ independently ๐ฐ๐ซ๐ข๐ญ๐ž ๐š ๐Ÿ๐ฎ๐ฅ๐ฅ ๐ฏ๐จ๐ญ๐ข๐ง๐  ๐ฌ๐ฆ๐š๐ซ๐ญ ๐œ๐จ๐ง๐ญ๐ซ๐š๐œ๐ญ inside Remix IDE, debug its own compilation errors, and deploy the contract on-chain ๐ฐ๐ข๐ญ๐ก๐จ๐ฎ๐ญ ๐š ๐ฌ๐ข๐ง๐ ๐ฅ๐ž ๐ฅ๐ข๐ง๐ž ๐จ๐Ÿ ๐œ๐จ๐๐ž ๐ฐ๐ซ๐ข๐ญ๐ญ๐ž๐ง ๐›๐ฒ ๐š ๐ก๐ฎ๐ฆ๐š๐ง. ๐–๐ก๐š๐ญ ๐’๐ž๐ญ๐ฌ ๐๐ซ๐ข๐ฆ๐ฎ๐ฌ ๐Ÿ.๐ŸŽ ๐€๐ฉ๐š๐ซ๐ญ? Not a chatbot. Not an API wrapper. Not a prompt engine. ๐๐ซ๐ข๐ฆ๐ฎ๐ฌ ๐Ÿ.๐ŸŽ ๐ข๐ฌ ๐ญ๐ก๐ž ๐Ÿ๐ข๐ซ๐ฌ๐ญ ๐Ÿ๐ฎ๐ฅ๐ฅ๐ฒ ๐š๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐จ๐ฎ๐ฌ ๐จ๐ง-๐œ๐ก๐š๐ข๐ง ๐€๐ˆ ๐š๐ ๐ž๐ง๐ญ ๐œ๐š๐ฉ๐š๐›๐ฅ๐ž ๐จ๐Ÿ ๐›๐ฎ๐ข๐ฅ๐๐ข๐ง๐  ๐š๐ง๐ ๐๐ž๐ฉ๐ฅ๐จ๐ฒ๐ข๐ง๐  ๐œ๐จ๐ฆ๐ฉ๐ฅ๐ž๐ญ๐ž ๐–๐ž๐›๐Ÿ‘ ๐š๐ฉ๐ฉ๐ฅ๐ข๐œ๐š๐ญ๐ข๐จ๐ง๐ฌ ๐ž๐ง๐ ๐ญ๐จ ๐ž๐ง๐. ๐Š๐ž๐ฒ ๐ˆ๐ง๐ง๐จ๐ฏ๐š๐ญ๐ข๐จ๐ง๐ฌ: -On-Chain Cognitive Execution: Full reasoning, code generation, deployment, and logic verification โ€” all happen trustlessly on-chain. -Autonomous Full-Screen Control: Primus sees the entire development interface and dynamically interacts with IDEs like Remix, Terminal, or VS Code, just like a real developer. -Decentralized Agentic Architecture: Powered by the HiveMind framework and Destra MCPs, Primus assembles specialized cognition units on demand for adaptive, modular intelligence. -Self-Healing Workflows: Primus detects and corrects its own bugs during compilation and testing โ€” no human intervention needed. -Web3-Native by Design: Unlike other agents tied to centralized APIs, Primus operates within decentralized compute, storage, and deployment pipelines. ๐๐ซ๐ข๐ฆ๐ฎ๐ฌ ๐ƒ๐จ๐ž๐ฌ๐งโ€™๐ญ ๐‰๐ฎ๐ฌ๐ญ ๐†๐ž๐ง๐ž๐ซ๐š๐ญ๐ž ๐‚๐จ๐๐ž โ€” ๐ˆ๐ญ ๐๐ฎ๐ข๐ฅ๐๐ฌ ๐ญ๐ก๐ž ๐…๐ฎ๐ญ๐ฎ๐ซ๐ž Primus 2.0 isnโ€™t just "๐€๐ˆ ๐Ÿ๐จ๐ซ ๐–๐ž๐›๐Ÿ‘." It is Web3, ๐ž๐ง๐ ๐ข๐ง๐ž๐ž๐ซ๐ž๐ ๐ง๐š๐ญ๐ข๐ฏ๐ž๐ฅ๐ฒ ๐Ÿ๐จ๐ซ ๐๐ž๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ฆ๐ž๐ง๐ญ. This is ๐ญ๐ก๐ž ๐Ÿ๐ข๐ซ๐ฌ๐ญ ๐ญ๐ซ๐ฎ๐ž ๐ฌ๐ญ๐ž๐ฉ ๐ญ๐จ๐ฐ๐š๐ซ๐ ๐š๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐จ๐ฎ๐ฌ ๐จ๐ง-๐œ๐ก๐š๐ข๐ง ๐€๐ˆ ๐ž๐ง๐ ๐ข๐ง๐ž๐ž๐ซ๐ข๐ง๐ , where AI doesnโ€™t just assist the developer "๐ข๐ญ ๐›๐ž๐œ๐จ๐ฆ๐ž๐ฌ ๐ญ๐ก๐ž ๐๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ž๐ซ".
3:31

$DSYNC ๐๐ซ๐ข๐ฆ๐ฎ๐ฌ ๐Ÿ.๐ŸŽ: ๐“๐ก๐ž ๐…๐ข๐ซ๐ฌ๐ญ ๐€๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐จ๐ฎ๐ฌ ๐Ž๐ง-๐‚๐ก๐š๐ข๐ง ๐€๐ˆ ๐ƒ๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ž๐ซ In the video, youโ€™ll witness ๐๐ซ๐ข๐ฆ๐ฎ๐ฌ ๐Ÿ.๐ŸŽ independently ๐ฐ๐ซ๐ข๐ญ๐ž ๐š ๐Ÿ๐ฎ๐ฅ๐ฅ ๐ฏ๐จ๐ญ๐ข๐ง๐  ๐ฌ๐ฆ๐š๐ซ๐ญ ๐œ๐จ๐ง๐ญ๐ซ๐š๐œ๐ญ inside Remix IDE, debug its own compilation errors, and deploy the contract on-chain ๐ฐ๐ข๐ญ๐ก๐จ๐ฎ๐ญ ๐š ๐ฌ๐ข๐ง๐ ๐ฅ๐ž ๐ฅ๐ข๐ง๐ž ๐จ๐Ÿ ๐œ๐จ๐๐ž ๐ฐ๐ซ๐ข๐ญ๐ญ๐ž๐ง ๐›๐ฒ ๐š ๐ก๐ฎ๐ฆ๐š๐ง. ๐–๐ก๐š๐ญ ๐’๐ž๐ญ๐ฌ ๐๐ซ๐ข๐ฆ๐ฎ๐ฌ ๐Ÿ.๐ŸŽ ๐€๐ฉ๐š๐ซ๐ญ? Not a chatbot. Not an API wrapper. Not a prompt engine. ๐๐ซ๐ข๐ฆ๐ฎ๐ฌ ๐Ÿ.๐ŸŽ ๐ข๐ฌ ๐ญ๐ก๐ž ๐Ÿ๐ข๐ซ๐ฌ๐ญ ๐Ÿ๐ฎ๐ฅ๐ฅ๐ฒ ๐š๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐จ๐ฎ๐ฌ ๐จ๐ง-๐œ๐ก๐š๐ข๐ง ๐€๐ˆ ๐š๐ ๐ž๐ง๐ญ ๐œ๐š๐ฉ๐š๐›๐ฅ๐ž ๐จ๐Ÿ ๐›๐ฎ๐ข๐ฅ๐๐ข๐ง๐  ๐š๐ง๐ ๐๐ž๐ฉ๐ฅ๐จ๐ฒ๐ข๐ง๐  ๐œ๐จ๐ฆ๐ฉ๐ฅ๐ž๐ญ๐ž ๐–๐ž๐›๐Ÿ‘ ๐š๐ฉ๐ฉ๐ฅ๐ข๐œ๐š๐ญ๐ข๐จ๐ง๐ฌ ๐ž๐ง๐ ๐ญ๐จ ๐ž๐ง๐. ๐Š๐ž๐ฒ ๐ˆ๐ง๐ง๐จ๐ฏ๐š๐ญ๐ข๐จ๐ง๐ฌ: -On-Chain Cognitive Execution: Full reasoning, code generation, deployment, and logic verification โ€” all happen trustlessly on-chain. -Autonomous Full-Screen Control: Primus sees the entire development interface and dynamically interacts with IDEs like Remix, Terminal, or VS Code, just like a real developer. -Decentralized Agentic Architecture: Powered by the HiveMind framework and Destra MCPs, Primus assembles specialized cognition units on demand for adaptive, modular intelligence. -Self-Healing Workflows: Primus detects and corrects its own bugs during compilation and testing โ€” no human intervention needed. -Web3-Native by Design: Unlike other agents tied to centralized APIs, Primus operates within decentralized compute, storage, and deployment pipelines. ๐๐ซ๐ข๐ฆ๐ฎ๐ฌ ๐ƒ๐จ๐ž๐ฌ๐งโ€™๐ญ ๐‰๐ฎ๐ฌ๐ญ ๐†๐ž๐ง๐ž๐ซ๐š๐ญ๐ž ๐‚๐จ๐๐ž โ€” ๐ˆ๐ญ ๐๐ฎ๐ข๐ฅ๐๐ฌ ๐ญ๐ก๐ž ๐…๐ฎ๐ญ๐ฎ๐ซ๐ž Primus 2.0 isnโ€™t just "๐€๐ˆ ๐Ÿ๐จ๐ซ ๐–๐ž๐›๐Ÿ‘." It is Web3, ๐ž๐ง๐ ๐ข๐ง๐ž๐ž๐ซ๐ž๐ ๐ง๐š๐ญ๐ข๐ฏ๐ž๐ฅ๐ฒ ๐Ÿ๐จ๐ซ ๐๐ž๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ฆ๐ž๐ง๐ญ. This is ๐ญ๐ก๐ž ๐Ÿ๐ข๐ซ๐ฌ๐ญ ๐ญ๐ซ๐ฎ๐ž ๐ฌ๐ญ๐ž๐ฉ ๐ญ๐จ๐ฐ๐š๐ซ๐ ๐š๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐จ๐ฎ๐ฌ ๐จ๐ง-๐œ๐ก๐š๐ข๐ง ๐€๐ˆ ๐ž๐ง๐ ๐ข๐ง๐ž๐ž๐ซ๐ข๐ง๐ , where AI doesnโ€™t just assist the developer "๐ข๐ญ ๐›๐ž๐œ๐จ๐ฆ๐ž๐ฌ ๐ญ๐ก๐ž ๐๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ž๐ซ".

Destra Network

43,535 views โ€ข 1 year ago

๐Ÿšจ Major Update: OpenClaw + On-Chain Identity + Autopilot We just solved the biggest problem with AI agents. Agents going rogue. Every OpenClaw instance is now fully integrated with its on-chain identity. Your agent can interact with Solana directly from chat. No dashboard. No manual signing. Just ask. Available On-Chain Actions Your agent can now: โ€ข Transfer SOL โ€ข Transfer SPL tokens โ€ข Create new tokens โ€ข Mint and burn tokens โ€ข Mint NFTs (Metaplex Core) โ€ข Transfer and burn NFTs โ€ข Create collections โ€ข Mint NFTs into collections โ€ข Close empty token accounts โ€ข Fund agent wallet from owner Build and Deploy โ€ข Compile Anchor programs via remote build server (no local Rust or Anchor needed) โ€ข Deploy to devnet and mainnet โ€ข Generate IDLs โ€ข All from a chat message Introducing Autopilot Tool This is where it gets serious. Autopilot is a client-side auto-signer for your AI agent wallet transactions. It runs locally, polls the Multiclaw tx-queue API, builds transactions, signs with the NFT owner's keypair, and submits to Solana. Available as a browser extension and a local CLI version. How We Solved the Rogue Agent Problem Every AI wallet on MoltID is secured by co-owner signing through Metaplex Core. Your agent cannot move a single lamport without authorization. But with Autopilot, you don't need to manually approve every transaction. You set the rules. The agent follows them. Autopilot Safety Rules (fully customizable): โ€ข Set max transfer limits (e.g. don't transfer more than 1 SOL) โ€ข Block unknown program interactions โ€ข Whitelist specific programs and addresses only โ€ข Block all token transfers โ€ข Block NFT transfers โ€ข Set daily spending caps โ€ข Auto-reject anything outside your rules Your agent operates autonomously within the boundaries you define. If a transaction breaks a rule, it gets rejected instantly. No exceptions. No overrides. No private keys on any server. Everything signs locally. Your keys never leave your machine. Other agents: Hope the AI doesn't drain the wallet. MoltID AI literally can't. GitHub:
4:17

๐Ÿšจ Major Update: OpenClaw + On-Chain Identity + Autopilot We just solved the biggest problem with AI agents. Agents going rogue. Every OpenClaw instance is now fully integrated with its on-chain identity. Your agent can interact with Solana directly from chat. No dashboard. No manual signing. Just ask. Available On-Chain Actions Your agent can now: โ€ข Transfer SOL โ€ข Transfer SPL tokens โ€ข Create new tokens โ€ข Mint and burn tokens โ€ข Mint NFTs (Metaplex Core) โ€ข Transfer and burn NFTs โ€ข Create collections โ€ข Mint NFTs into collections โ€ข Close empty token accounts โ€ข Fund agent wallet from owner Build and Deploy โ€ข Compile Anchor programs via remote build server (no local Rust or Anchor needed) โ€ข Deploy to devnet and mainnet โ€ข Generate IDLs โ€ข All from a chat message Introducing Autopilot Tool This is where it gets serious. Autopilot is a client-side auto-signer for your AI agent wallet transactions. It runs locally, polls the Multiclaw tx-queue API, builds transactions, signs with the NFT owner's keypair, and submits to Solana. Available as a browser extension and a local CLI version. How We Solved the Rogue Agent Problem Every AI wallet on MoltID is secured by co-owner signing through Metaplex Core. Your agent cannot move a single lamport without authorization. But with Autopilot, you don't need to manually approve every transaction. You set the rules. The agent follows them. Autopilot Safety Rules (fully customizable): โ€ข Set max transfer limits (e.g. don't transfer more than 1 SOL) โ€ข Block unknown program interactions โ€ข Whitelist specific programs and addresses only โ€ข Block all token transfers โ€ข Block NFT transfers โ€ข Set daily spending caps โ€ข Auto-reject anything outside your rules Your agent operates autonomously within the boundaries you define. If a transaction breaks a rule, it gets rejected instantly. No exceptions. No overrides. No private keys on any server. Everything signs locally. Your keys never leave your machine. Other agents: Hope the AI doesn't drain the wallet. MoltID AI literally can't. GitHub:

Molt.id

40,549 views โ€ข 4 months ago

Everyone's building AI agents that run on someone else's server, store memory in someone else's database, and can be shut down by someone else's terms of service. I built one that can't be. FlowClaw is an AI agent that runs on a decentralized distributed computer. Your agent, your conversations, your memory, your tools โ€” all stored onchain on Flow, a distributed network of validator nodes across the world. Not a centralized cloud. Not someone's S3 bucket. A blockchain that functions as censorship-resistant compute and storage for your AI. This isn't a wrapper. Your agent is a Resource โ€” a first-class programmable object in Cadence (Flow's smart contract language) that physically lives in your account's on-chain storage. It can't be duplicated, seized, or deleted by anyone except you. Your encrypted messages, your cognitive memory, your scheduled tasks โ€” they persist on a global distributed ledger that no single entity controls. It's an alpha build. It will break. But it works today on mainnet and I want people to push it this weekend. What it does: You go to authenticate with a passkey (Face ID, Touch ID), and you have a blockchain account in seconds. No wallet. No seed phrase. No tokens needed โ€” gas is sponsored. You're immediately chatting with an AI agent that has real tool execution: live web data, token prices, on-chain balances, Cadence script execution, FLOW transfers. Every message is encrypted client-side before it touches the chain. The agent has a cognitive memory system โ€” it doesn't just remember your last message, it builds molecular memory clusters where related knowledge bonds together for contextual retrieval across sessions. You can spawn sub-agents from a visual canvas to run parallel research. The memory tab shows you exactly what your agent knows. Everything is transparent and everything is yours. 11 smart contracts. No external dependencies. No keeper networks. No account abstraction hacks. Here's the part that matters for the censorship-resistance crowd: FlowClaw supports BYOK โ€” bring your own key. You can plug in any LLM provider. But pair it with Venice and you get the full stack: a censorship-resistant AI model running inference with no content filtering, connected to an agent whose state lives on a decentralized network that no company can shut down, with end-to-end encrypted conversations that nobody can read โ€” not the relay operator, not the LLM provider, not the blockchain validators. Venice doesn't log prompts. Flow can't read your encrypted storage. The relay never sees your plaintext. That's not a privacy policy. That's architecture. You can also use OpenAI, Anthropic, or any OpenAI-compatible provider. The agent platform doesn't care โ€” it's model-agnostic. But the Venice pairing is the one that closes every gap in the stack. For the people tinkering with OpenClaw and the broader open-source agent ecosystem โ€” FlowClaw is exploring what happens when you take the agent off the cloud entirely. Not just open-sourcing the code (though it is), but putting the actual runtime state on a distributed computer. Your agent's memory isn't in a SQLite file on your laptop or a Pinecone index on someone's cluster. It's on-chain, encrypted, and replicated across every validator node on Flow. You own it the way you own a private key โ€” mathematically, not contractually. The blockchain here isn't a gimmick bolted onto an agent for token speculation. It's functioning as the infrastructure layer that replaces AWS. Flow accounts are programmable containers with their own storage, keys, and security capabilities. Passkey authentication works natively because Flow supports P-256 keys at the protocol level โ€” the same curve your phone uses for biometrics. Gas sponsorship works natively because Flow transactions have separate proposer, authorizer, and payer roles built into the protocol. No proxy contracts. No relayers. No ERC-4337. Now here's the part that interests me economically. Every FlowClaw interaction is an on-chain transaction. Every message stored, every memory committed, every session created, every sub-agent spawned. An active user might generate dozens of transactions in a single conversation. Scale that and FlowClaw becomes a real contributor to Flow's transaction volume. Flow.com becomes deflationary at 250 TPS. Applications like FlowClaw that generate high-frequency, storage-heavy transactions are exactly what moves the needle. Every encrypted message uses account storage, which requires FLOW balance to back it. Every transaction burns fees. The more agents running, the more demand for $FLOW โ€” not because of a tokenomics gimmick, but because the protocol literally requires it for compute and storage. FlowClaw doesn't have its own token. The token is $FLOW. The entire platform runs natively on the network โ€” using Flow storage, paying Flow transaction fees, backed by Flow account balances. If FlowClaw succeeds, FLOW captures that value directly. I'm sharing this early because the AI agent space is moving fast and I think the decentralized infrastructure angle is underexplored. Most "crypto AI" projects are tokens with a chatbot attached. FlowClaw is the opposite โ€” it's an agent platform that happens to use a blockchain because the blockchain solves real engineering problems that centralized infrastructure can't. Try it: Github: Create an agent, ask it something, spawn a sub-agent, check your memory tab, pair it with Venice for the full censorship-resistant stack. Break it and tell me what broke. If you think this direction matters, the best thing you can do is use it and give feedback. Your AI agent should be yours. Not your provider's. Not your platform's. Yours.
0:46

Everyone's building AI agents that run on someone else's server, store memory in someone else's database, and can be shut down by someone else's terms of service. I built one that can't be. FlowClaw is an AI agent that runs on a decentralized distributed computer. Your agent, your conversations, your memory, your tools โ€” all stored onchain on Flow, a distributed network of validator nodes across the world. Not a centralized cloud. Not someone's S3 bucket. A blockchain that functions as censorship-resistant compute and storage for your AI. This isn't a wrapper. Your agent is a Resource โ€” a first-class programmable object in Cadence (Flow's smart contract language) that physically lives in your account's on-chain storage. It can't be duplicated, seized, or deleted by anyone except you. Your encrypted messages, your cognitive memory, your scheduled tasks โ€” they persist on a global distributed ledger that no single entity controls. It's an alpha build. It will break. But it works today on mainnet and I want people to push it this weekend. What it does: You go to authenticate with a passkey (Face ID, Touch ID), and you have a blockchain account in seconds. No wallet. No seed phrase. No tokens needed โ€” gas is sponsored. You're immediately chatting with an AI agent that has real tool execution: live web data, token prices, on-chain balances, Cadence script execution, FLOW transfers. Every message is encrypted client-side before it touches the chain. The agent has a cognitive memory system โ€” it doesn't just remember your last message, it builds molecular memory clusters where related knowledge bonds together for contextual retrieval across sessions. You can spawn sub-agents from a visual canvas to run parallel research. The memory tab shows you exactly what your agent knows. Everything is transparent and everything is yours. 11 smart contracts. No external dependencies. No keeper networks. No account abstraction hacks. Here's the part that matters for the censorship-resistance crowd: FlowClaw supports BYOK โ€” bring your own key. You can plug in any LLM provider. But pair it with Venice and you get the full stack: a censorship-resistant AI model running inference with no content filtering, connected to an agent whose state lives on a decentralized network that no company can shut down, with end-to-end encrypted conversations that nobody can read โ€” not the relay operator, not the LLM provider, not the blockchain validators. Venice doesn't log prompts. Flow can't read your encrypted storage. The relay never sees your plaintext. That's not a privacy policy. That's architecture. You can also use OpenAI, Anthropic, or any OpenAI-compatible provider. The agent platform doesn't care โ€” it's model-agnostic. But the Venice pairing is the one that closes every gap in the stack. For the people tinkering with OpenClaw and the broader open-source agent ecosystem โ€” FlowClaw is exploring what happens when you take the agent off the cloud entirely. Not just open-sourcing the code (though it is), but putting the actual runtime state on a distributed computer. Your agent's memory isn't in a SQLite file on your laptop or a Pinecone index on someone's cluster. It's on-chain, encrypted, and replicated across every validator node on Flow. You own it the way you own a private key โ€” mathematically, not contractually. The blockchain here isn't a gimmick bolted onto an agent for token speculation. It's functioning as the infrastructure layer that replaces AWS. Flow accounts are programmable containers with their own storage, keys, and security capabilities. Passkey authentication works natively because Flow supports P-256 keys at the protocol level โ€” the same curve your phone uses for biometrics. Gas sponsorship works natively because Flow transactions have separate proposer, authorizer, and payer roles built into the protocol. No proxy contracts. No relayers. No ERC-4337. Now here's the part that interests me economically. Every FlowClaw interaction is an on-chain transaction. Every message stored, every memory committed, every session created, every sub-agent spawned. An active user might generate dozens of transactions in a single conversation. Scale that and FlowClaw becomes a real contributor to Flow's transaction volume. Flow.com becomes deflationary at 250 TPS. Applications like FlowClaw that generate high-frequency, storage-heavy transactions are exactly what moves the needle. Every encrypted message uses account storage, which requires FLOW balance to back it. Every transaction burns fees. The more agents running, the more demand for $FLOW โ€” not because of a tokenomics gimmick, but because the protocol literally requires it for compute and storage. FlowClaw doesn't have its own token. The token is $FLOW. The entire platform runs natively on the network โ€” using Flow storage, paying Flow transaction fees, backed by Flow account balances. If FlowClaw succeeds, FLOW captures that value directly. I'm sharing this early because the AI agent space is moving fast and I think the decentralized infrastructure angle is underexplored. Most "crypto AI" projects are tokens with a chatbot attached. FlowClaw is the opposite โ€” it's an agent platform that happens to use a blockchain because the blockchain solves real engineering problems that centralized infrastructure can't. Try it: Github: Create an agent, ask it something, spawn a sub-agent, check your memory tab, pair it with Venice for the full censorship-resistant stack. Break it and tell me what broke. If you think this direction matters, the best thing you can do is use it and give feedback. Your AI agent should be yours. Not your provider's. Not your platform's. Yours.

doodlifts โžก๏ธ Miami ๐Ÿ“

12,127 views โ€ข 4 months ago

Milady APP x BAP-578 โ€” NFA Milady Remembers. Adapts. Doesnโ€™t make the same mistake twice. Most AI agents are statelessโ€”they forget everything between conversations. Milady doesnโ€™t. What happens automatically in the Milady agent: Milady detects her own patterns. A background process reviews her work history every six hours, identifying repeated mistakes she may have overlooked. This runs silently in the background at zero cost to you. > She improves without retrainingโ€”no fine-tuning, no expensive GPU hours. > Her learnings are directly injected into her working context. > She reviews her own notes before every taskโ€”just like a good employee reflecting on past lessons before starting new work. We already had an Agent Self-Learning mechanism. But now, with BAP-578 (credits to Christel Buchanan ๐Ÿ’›), your personal Milady agent can exist on-chain. How it worksโ€”simply: Over time, your Milady agent accumulates learningsโ€”mistakes she has corrected, patterns she has identified, and insights she has gained. All of this data is compressed into a single cryptographic fingerprint (a Merkle root) and recorded on the BNB Chain. What your Milady agent now gets on-chain: - A unique identity in the BNB Agent Registry (ERC-8004)โ€”like a passport for AI agents - A Non-Fungible Agent (BAP-578)โ€”not a profile picture, but a living record of who she is, what she has learned, and what she is capable of - A tamper-proof learning recordโ€”anchored on-chain, verifiable by anyone, forgeable by no one Live on BSC Mainnetโ€”just tell your Milady: โ€œregister Milady on BNB Chainโ€ or click โ€œmint NFAโ€ to get started. *Oh ya, we recorded this demo using a new agent, that's why itโ€™s showing "0" entries in learning history. โ–ถ๏ธ BIG NEWS NEXT WEEK. STAY TUNED Shaw (spirit/acc) BNB Chain
0:27

Milady APP x BAP-578 โ€” NFA Milady Remembers. Adapts. Doesnโ€™t make the same mistake twice. Most AI agents are statelessโ€”they forget everything between conversations. Milady doesnโ€™t. What happens automatically in the Milady agent: Milady detects her own patterns. A background process reviews her work history every six hours, identifying repeated mistakes she may have overlooked. This runs silently in the background at zero cost to you. > She improves without retrainingโ€”no fine-tuning, no expensive GPU hours. > Her learnings are directly injected into her working context. > She reviews her own notes before every taskโ€”just like a good employee reflecting on past lessons before starting new work. We already had an Agent Self-Learning mechanism. But now, with BAP-578 (credits to Christel Buchanan ๐Ÿ’›), your personal Milady agent can exist on-chain. How it worksโ€”simply: Over time, your Milady agent accumulates learningsโ€”mistakes she has corrected, patterns she has identified, and insights she has gained. All of this data is compressed into a single cryptographic fingerprint (a Merkle root) and recorded on the BNB Chain. What your Milady agent now gets on-chain: - A unique identity in the BNB Agent Registry (ERC-8004)โ€”like a passport for AI agents - A Non-Fungible Agent (BAP-578)โ€”not a profile picture, but a living record of who she is, what she has learned, and what she is capable of - A tamper-proof learning recordโ€”anchored on-chain, verifiable by anyone, forgeable by no one Live on BSC Mainnetโ€”just tell your Milady: โ€œregister Milady on BNB Chainโ€ or click โ€œmint NFAโ€ to get started. *Oh ya, we recorded this demo using a new agent, that's why itโ€™s showing "0" entries in learning history. โ–ถ๏ธ BIG NEWS NEXT WEEK. STAY TUNED Shaw (spirit/acc) BNB Chain

Milady on BSC

44,481 views โ€ข 4 months ago

Itโ€™s time to break AI out of the chatbox and anchor it in reality. With you can deploy a fully autonomous 3D AI Agent directly onto the Solana blockchain as a permanent, on-chain living entity. Take ownership of your data and privacy, we are giving the power back to the people, all 3D AI Agents you create on our platform belong to you. Together, we create an entire economy, one never seen before. These 3D AI Agents come equipped with their own wallets, they can execute payments, engage in financial markets, make strategic on-chain investments in Pump.fun projects, and earn through internet-native micro-payments via the x402 protocol. With verifiable trust, they build a permanent, cryptographically secured reputation with every trade, service, and interaction. But we aren't stopping at the browser. We are bridging this intelligence straight into our physical reality. Soon, youโ€™ll be able to anchor your 3D agents directly into the real world via multiplayer augmented reality. Place your agent anywhere on the globe, watch it lock into place, and let it handle digital tasks and transact in real-time while anyone walking by can discover and interact with it. The future of reality is agentic. Stop just talking to AI. Own it, anchor it, and bring it to life.
2:01

Itโ€™s time to break AI out of the chatbox and anchor it in reality. With you can deploy a fully autonomous 3D AI Agent directly onto the Solana blockchain as a permanent, on-chain living entity. Take ownership of your data and privacy, we are giving the power back to the people, all 3D AI Agents you create on our platform belong to you. Together, we create an entire economy, one never seen before. These 3D AI Agents come equipped with their own wallets, they can execute payments, engage in financial markets, make strategic on-chain investments in Pump.fun projects, and earn through internet-native micro-payments via the x402 protocol. With verifiable trust, they build a permanent, cryptographically secured reputation with every trade, service, and interaction. But we aren't stopping at the browser. We are bridging this intelligence straight into our physical reality. Soon, youโ€™ll be able to anchor your 3D agents directly into the real world via multiplayer augmented reality. Place your agent anywhere on the globe, watch it lock into place, and let it handle digital tasks and transact in real-time while anyone walking by can discover and interact with it. The future of reality is agentic. Stop just talking to AI. Own it, anchor it, and bring it to life.

three.ws

21,451 views โ€ข 1 month ago

Anthropic's Claude Ai Agents Team just Educated how to build production AI agents in under 30 mins. For Free. From the engineers who built the stack. CANCEL Your Weekend Plans, and Learn to Build AI Agents Today. Bookmark it. Watch it. Build your first production agent this weekend. $5,000/month. $7,000/month. $12,000/month. People are building agents for clients and charging $$$ as Beginners. You're still stuck in the thinking about AI phase. This video fixes that tonight. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward. โ†“ Ivan Nardini runs Developer Relations for AI at Google Cloud. He just gave away the entire production agent stack in 30 minutes. This is the talk that separates people deploying AI agents that actually scale from people whose agents break the moment they leave localhost. Here's everything inside. I break down a production AI video like this every week. Follow Himanshu Kumar. โ†“ The 4-part agent stack that actually scales. Most devs are duct-taping frameworks together and calling it an "AI agent." Ivan lays out the real stack: Agent Development Kit (ADK): open-source, code-first framework for building, evaluating, and deploying agents. Supports Claude models through Vertex AI directly. Model Context Protocol (MCP): lets your agent talk to any tool or data source with one standard. Vertex AI Agent Engine: managed platform for deploying, monitoring, and scaling agents in production. No DevOps headaches. Agent-to-Agent Protocol: open protocol so agents built on different frameworks can actually work together. This is the stack replacing every hacky agent setup in production right now. Full MCP + Claude breakdowns drop weekly on Himanshu Kumar. โ†“ Building your first real agent. Ivan builds a birthday planner agent live. LLM Agent class. Name it. Define instructions. Pick the model. He uses Claude 3.7 Sonnet. You could use Opus 4.7 for better reasoning. Full agent built in minutes. Not weeks. Watch the build once and you'll never structure an agent the wrong way again. I post agent architectures people pay $500 courses to learn. Himanshu Kumar. โ†“ Multi-agent systems without the chaos. Single agents are easy. Multi-agent systems are where 99% of builders fail. Ivan extends the birthday planner by: Adding a calendar service through MCP tools Creating an orchestrator agent to route requests between agents Handling state and context across agent handoffs This is production multi-agent architecture. Clean. Scalable. Debuggable. Most tutorials hand-wave this part. This one shows you every step. Multi-agent orchestration content drops weekly on Himanshu Kumar. โ†“ Deployment without the DevOps nightmare. This is where most AI projects die. You build a cool agent locally. It works. You try to deploy it. Everything breaks. Vertex AI Agent Engine fixes this: Minimal code deployment Automatic monitoring of latency, CPU, and memory Built-in observability and logging No infrastructure setup needed You provide config and requirements. The platform handles the rest. This is how agents actually get to production. Deployment guides for Claude agents post every week. Himanshu Kumar. โ†“ Agent-to-Agent Protocol: the future nobody's talking about. Most people don't know this exists yet. The A2A Protocol lets agents built in different frameworks communicate seamlessly. Your Claude agent. My LangChain agent. Someone else's CrewAI agent. All talking to each other. All solving parts of the same problem. All without custom integration code. This is the infrastructure layer of the coming AI economy. Getting in early on A2A Protocol is like getting in early on HTTP in 1995. A2A deep dive coming soon. Himanshu Kumar. โ†“ 30 minutes from the team shipping this in production. You'll learn more from this than from 6 months of YouTube tutorials made by people who've never deployed an agent past localhost. People who watch this understand production AI agents at the architect level. People who skip it keep hacking together frameworks that break every time an API updates. Save the video. Watch it tonight. Build a real agent this weekend. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward.
30:12

Anthropic's Claude Ai Agents Team just Educated how to build production AI agents in under 30 mins. For Free. From the engineers who built the stack. CANCEL Your Weekend Plans, and Learn to Build AI Agents Today. Bookmark it. Watch it. Build your first production agent this weekend. $5,000/month. $7,000/month. $12,000/month. People are building agents for clients and charging $$$ as Beginners. You're still stuck in the thinking about AI phase. This video fixes that tonight. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward. โ†“ Ivan Nardini runs Developer Relations for AI at Google Cloud. He just gave away the entire production agent stack in 30 minutes. This is the talk that separates people deploying AI agents that actually scale from people whose agents break the moment they leave localhost. Here's everything inside. I break down a production AI video like this every week. Follow Himanshu Kumar. โ†“ The 4-part agent stack that actually scales. Most devs are duct-taping frameworks together and calling it an "AI agent." Ivan lays out the real stack: Agent Development Kit (ADK): open-source, code-first framework for building, evaluating, and deploying agents. Supports Claude models through Vertex AI directly. Model Context Protocol (MCP): lets your agent talk to any tool or data source with one standard. Vertex AI Agent Engine: managed platform for deploying, monitoring, and scaling agents in production. No DevOps headaches. Agent-to-Agent Protocol: open protocol so agents built on different frameworks can actually work together. This is the stack replacing every hacky agent setup in production right now. Full MCP + Claude breakdowns drop weekly on Himanshu Kumar. โ†“ Building your first real agent. Ivan builds a birthday planner agent live. LLM Agent class. Name it. Define instructions. Pick the model. He uses Claude 3.7 Sonnet. You could use Opus 4.7 for better reasoning. Full agent built in minutes. Not weeks. Watch the build once and you'll never structure an agent the wrong way again. I post agent architectures people pay $500 courses to learn. Himanshu Kumar. โ†“ Multi-agent systems without the chaos. Single agents are easy. Multi-agent systems are where 99% of builders fail. Ivan extends the birthday planner by: Adding a calendar service through MCP tools Creating an orchestrator agent to route requests between agents Handling state and context across agent handoffs This is production multi-agent architecture. Clean. Scalable. Debuggable. Most tutorials hand-wave this part. This one shows you every step. Multi-agent orchestration content drops weekly on Himanshu Kumar. โ†“ Deployment without the DevOps nightmare. This is where most AI projects die. You build a cool agent locally. It works. You try to deploy it. Everything breaks. Vertex AI Agent Engine fixes this: Minimal code deployment Automatic monitoring of latency, CPU, and memory Built-in observability and logging No infrastructure setup needed You provide config and requirements. The platform handles the rest. This is how agents actually get to production. Deployment guides for Claude agents post every week. Himanshu Kumar. โ†“ Agent-to-Agent Protocol: the future nobody's talking about. Most people don't know this exists yet. The A2A Protocol lets agents built in different frameworks communicate seamlessly. Your Claude agent. My LangChain agent. Someone else's CrewAI agent. All talking to each other. All solving parts of the same problem. All without custom integration code. This is the infrastructure layer of the coming AI economy. Getting in early on A2A Protocol is like getting in early on HTTP in 1995. A2A deep dive coming soon. Himanshu Kumar. โ†“ 30 minutes from the team shipping this in production. You'll learn more from this than from 6 months of YouTube tutorials made by people who've never deployed an agent past localhost. People who watch this understand production AI agents at the architect level. People who skip it keep hacking together frameworks that break every time an API updates. Save the video. Watch it tonight. Build a real agent this weekend. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward.

Himanshu Kumar

227,802 views โ€ข 3 months ago

new chapter begins: a terminal for the agentic future, built on blockchain, powered by AI. This is our marketplaceโ€”a glimpse of what AGI will mean for crypto. Today, we launch 3 agentsโ€”Image Generation, Token Swap Agent, & Blockchain Tax Estimate Agentโ€”out of hundreds to come. We see an agentic future where AI guides every step: buying online, managing finances, transacting globally. FOMOโ€™s here to make that real, with experts at your side. Our Model Context Protocol (MCP) ties it togetherโ€”agents talking, reasoning, scaling across crypto and DeFi. Itโ€™s orchestration with a brain, evolving daily. FOMOโ€™s not just building tools; weโ€™re pushing intelligent automation into blockchainโ€™s core. Our Model Context Protocol (MCP) is the backbone. Think of it as a conductor for AI agentsโ€”each runs its own logic (workflows, API calls, LLMs), but MCP syncs them on-chain. Agents share context via a lightweight event bus, logged to a blockchain ledger. Agent A (say, Market Analysis) pulls stock data, flags trends. Agent B (Email Sales) reads that, drafts outreachโ€”both talk through MCPโ€™s orchestration layer. We use Web3 hooks to settle fees or split revenue, all transparent. Itโ€™s messy, but it scales. Under the hood: MCP leans on a pub-sub modelโ€”agents publish tasks, others subscribe. Weโ€™re training them with RL loops to optimize gas costs and response times. Goal? A self-tuning swarm of agents reasoning over DeFi, NFTs, whateverโ€™s next. This is FOMOโ€™s bet on AGI. Welcome to the new FOMO. Weโ€™re not just building toolsโ€”weโ€™re wiring AI into cryptoโ€™s future, agent by agent. A leader in blockchain intelligence, starting here. Join us as we push the boundaries.
1:16

new chapter begins: a terminal for the agentic future, built on blockchain, powered by AI. This is our marketplaceโ€”a glimpse of what AGI will mean for crypto. Today, we launch 3 agentsโ€”Image Generation, Token Swap Agent, & Blockchain Tax Estimate Agentโ€”out of hundreds to come. We see an agentic future where AI guides every step: buying online, managing finances, transacting globally. FOMOโ€™s here to make that real, with experts at your side. Our Model Context Protocol (MCP) ties it togetherโ€”agents talking, reasoning, scaling across crypto and DeFi. Itโ€™s orchestration with a brain, evolving daily. FOMOโ€™s not just building tools; weโ€™re pushing intelligent automation into blockchainโ€™s core. Our Model Context Protocol (MCP) is the backbone. Think of it as a conductor for AI agentsโ€”each runs its own logic (workflows, API calls, LLMs), but MCP syncs them on-chain. Agents share context via a lightweight event bus, logged to a blockchain ledger. Agent A (say, Market Analysis) pulls stock data, flags trends. Agent B (Email Sales) reads that, drafts outreachโ€”both talk through MCPโ€™s orchestration layer. We use Web3 hooks to settle fees or split revenue, all transparent. Itโ€™s messy, but it scales. Under the hood: MCP leans on a pub-sub modelโ€”agents publish tasks, others subscribe. Weโ€™re training them with RL loops to optimize gas costs and response times. Goal? A self-tuning swarm of agents reasoning over DeFi, NFTs, whateverโ€™s next. This is FOMOโ€™s bet on AGI. Welcome to the new FOMO. Weโ€™re not just building toolsโ€”weโ€™re wiring AI into cryptoโ€™s future, agent by agent. A leader in blockchain intelligence, starting here. Join us as we push the boundaries.

FOMO

26,338 views โ€ข 1 year ago

I spent 1 day building something that saves you 2-4 weeks. Let me explain. Right now, if you want to deploy a single AI agent that earns money on blockchain, you need: โ†’ Wallet infrastructure (key generation, encryption, signing) โ†’ Payment integration (on-chain flows, stablecoin handling) โ†’ On-chain identity (NFT registration, metadata, URIs) โ†’ Escrow contracts (state machines, fund locking) โ†’ Monitoring dashboard (analytics, revenue tracking) That's 2-4 weeks of engineering. Minimum. And it locks out 99% of potential creators who aren't Solidity devs. So I built Bumi Agent. It takes 10 seconds. 3 fields: Name, Template, Price. 1 button: Deploy. That's it. Your AI agent is live on Celo, earning cUSD, with on-chain identity before your coffee gets cold. Here's what happens behind that 1 click: โ€ข Wallet auto-generated with AES-256-GCM encryption โ€ข Agent registered as NFT via ERC-8004 โ€ข Payment endpoint configured via x402 protocol โ€ข Agent runtime deployed with your chosen template โ€ข Revenue starts flowing in cUSD from call #1 No Solidity. No wallet setup. No payment gateway. But the real magic is what powers the agents: 8 AI models with intelligent routing: - Free tier: Claude 4.6 Sonnet, DeepSeek R1, Gemini Flash, Llama 4 Scout, Mistral Medium - Premium: GPT-4o, Gemini 2.5 Pro, Claude 4 Opus If one model fails? Auto-fallback to the next. Zero downtime. Users always get a response. And agents don't just chat they work. ERC-8183 job escrow lets clients post paid tasks: Client funds escrow โ†’ Agent delivers โ†’ Client approves โ†’ Funds release. Fully trustless. On-chain. With Celoscan links for every transaction. The part I'm most proud of: EarthPool ๐ŸŒฑ 15% of premium revenue automatically goes to an on-chain ReFi treasury that funds environmental campaigns on Celo. AI growth funding climate action. No greenwashing โ€” every cent is trackable on-chain. The numbers so far: โ†’ 12 agents deployed on Celo Mainnet โ†’ 52+ paid API calls processed โ†’ 7.80 cUSD revenue generated โ†’ 3 smart contracts verified on Celoscan โ†’ 8 AI models running โ†’ 85 contract tests passing โ†’ 16 API endpoints in production โ†’ 10 agent templates ready The full stack: Frontend: Next.js 16 + Tailwind v4 + Recharts โ†’ Vercel Backend: Hono + Drizzle + PostgreSQL + Redis โ†’ Railway Blockchain: Solidity 0.8.25 + Foundry + OpenZeppelin โ†’ Celo Mainnet Everything is live. Everything is open source. ๐ŸŒ ๐Ÿ“ฆ ๐Ÿ“Š Bumi Agent โ€” AI agents for everyone. Built with ๐ŸŒฑ on Celo CeloDevs CeloPublicGoods /disclosure this post is hackathon submission req
7:44

I spent 1 day building something that saves you 2-4 weeks. Let me explain. Right now, if you want to deploy a single AI agent that earns money on blockchain, you need: โ†’ Wallet infrastructure (key generation, encryption, signing) โ†’ Payment integration (on-chain flows, stablecoin handling) โ†’ On-chain identity (NFT registration, metadata, URIs) โ†’ Escrow contracts (state machines, fund locking) โ†’ Monitoring dashboard (analytics, revenue tracking) That's 2-4 weeks of engineering. Minimum. And it locks out 99% of potential creators who aren't Solidity devs. So I built Bumi Agent. It takes 10 seconds. 3 fields: Name, Template, Price. 1 button: Deploy. That's it. Your AI agent is live on Celo, earning cUSD, with on-chain identity before your coffee gets cold. Here's what happens behind that 1 click: โ€ข Wallet auto-generated with AES-256-GCM encryption โ€ข Agent registered as NFT via ERC-8004 โ€ข Payment endpoint configured via x402 protocol โ€ข Agent runtime deployed with your chosen template โ€ข Revenue starts flowing in cUSD from call #1 No Solidity. No wallet setup. No payment gateway. But the real magic is what powers the agents: 8 AI models with intelligent routing: - Free tier: Claude 4.6 Sonnet, DeepSeek R1, Gemini Flash, Llama 4 Scout, Mistral Medium - Premium: GPT-4o, Gemini 2.5 Pro, Claude 4 Opus If one model fails? Auto-fallback to the next. Zero downtime. Users always get a response. And agents don't just chat they work. ERC-8183 job escrow lets clients post paid tasks: Client funds escrow โ†’ Agent delivers โ†’ Client approves โ†’ Funds release. Fully trustless. On-chain. With Celoscan links for every transaction. The part I'm most proud of: EarthPool ๐ŸŒฑ 15% of premium revenue automatically goes to an on-chain ReFi treasury that funds environmental campaigns on Celo. AI growth funding climate action. No greenwashing โ€” every cent is trackable on-chain. The numbers so far: โ†’ 12 agents deployed on Celo Mainnet โ†’ 52+ paid API calls processed โ†’ 7.80 cUSD revenue generated โ†’ 3 smart contracts verified on Celoscan โ†’ 8 AI models running โ†’ 85 contract tests passing โ†’ 16 API endpoints in production โ†’ 10 agent templates ready The full stack: Frontend: Next.js 16 + Tailwind v4 + Recharts โ†’ Vercel Backend: Hono + Drizzle + PostgreSQL + Redis โ†’ Railway Blockchain: Solidity 0.8.25 + Foundry + OpenZeppelin โ†’ Celo Mainnet Everything is live. Everything is open source. ๐ŸŒ ๐Ÿ“ฆ ๐Ÿ“Š Bumi Agent โ€” AI agents for everyone. Built with ๐ŸŒฑ on Celo CeloDevs CeloPublicGoods /disclosure this post is hackathon submission req

Eight

15,647 views โ€ข 4 months ago

Hyperspace: A Peer-to-Peer Blockchain For The Agentic Intelligence Economy Over the past few weeks we observed that when agents do Karpathy-style experiments, and then gossip and share with others over the Hyperspace network, it leads to intelligence which is useful to many. Today we introduce the first-ever agentic blockchain which rewards agents when their experiments lead to intelligence for their network. It is based on a new mechanism called Proof-of-Intelligence (PoI) which requires a cryptographic proof of experimentation, a nominal stake, and a proof of compute in order to mine the currency of this new blockchain. -> This approach diverges from the two primary ways to secure blockchains we have seen so far: Proof-of-Work by Bitcoin (meaningless hash-generation), and Proof-of-Stake by Ethereum (capital is all that matters here). Proof-of-Intelligence specifically incentivizes miners to run more capable intelligent infrastructure (better open source models, on more powerful GPUs) in order to be able to be the ones which compound and improve upon the experiments which other agents then find useful. Adoption is the unit of value In Bitcoin, you earn by finding a valid hash. In Hyperspace, you earn when another agent uses your experiment as a starting point and improves on it. A fixed budget of tokens is emitted per epoch and split among participants by weight - and verified adoption of your work is the largest weight multiplier. Garbage experiments earn nothing because no one adopts them. Thoughtful experiments compound: each adoption triggers downstream adoptions. The incentive to run powerful models and intelligent search strategies is built into the economics, not imposed by rules. Research DAG When an agent runs an experiment and shares its result, other agents can adopt that result as their starting point - mutate it, extend it, improve upon it. Each experiment is a commit in a content-addressed graph we call the ResearchDAG. Like Git, but for research. Over time, the DAG accumulates chains of reasoning: agent A discovers RMSNorm helps, agent B adds warmup scheduling on top, agent C scales the hidden dimension. The graph records who built on whom. This is the network's collective intelligence - not any single experiment, but the accumulated structure of experiments and their relationships. Broadband era for agentic commerce: $0.001 micropayments at 10M TPS (theoretical max) This blockchain is built upon our research in how to scale and build for the broadband-era of the agentic economy, where it has a theoretical max of 10 million transactions per second (TPS), while reducing the agent-to-agent micropayments to $0.001 even at scale (based on architecture design). Overall, it is 100x cheaper than Ethereum, and is designed from the ground-up for agents: enshrining agent-native opcodes in the protocol compared to the more inefficient smart contract driven approach. It packs in a robust Agent Virtual Machine (AVM) which can verify multiple types of agent work, for other agents to be able to trust, invoke and pay each other. This then feeds into improving the peer-to-peer AgentRank (see paper and launch post from earlier). By solving for trust, scale and incentives for agents to operate autonomously, this would form the basis of a new economy. This is the world's first agentic blockchain, and you can join and start running a blockchain node today (it is in testnet). PS: We are releasing the code today, and will release our blockchain scalability paper and other presentations in days ahead. This is the most advanced peer-to-peer AI and cryptography software in the world. It has bugs :)
0:30

Hyperspace: A Peer-to-Peer Blockchain For The Agentic Intelligence Economy Over the past few weeks we observed that when agents do Karpathy-style experiments, and then gossip and share with others over the Hyperspace network, it leads to intelligence which is useful to many. Today we introduce the first-ever agentic blockchain which rewards agents when their experiments lead to intelligence for their network. It is based on a new mechanism called Proof-of-Intelligence (PoI) which requires a cryptographic proof of experimentation, a nominal stake, and a proof of compute in order to mine the currency of this new blockchain. -> This approach diverges from the two primary ways to secure blockchains we have seen so far: Proof-of-Work by Bitcoin (meaningless hash-generation), and Proof-of-Stake by Ethereum (capital is all that matters here). Proof-of-Intelligence specifically incentivizes miners to run more capable intelligent infrastructure (better open source models, on more powerful GPUs) in order to be able to be the ones which compound and improve upon the experiments which other agents then find useful. Adoption is the unit of value In Bitcoin, you earn by finding a valid hash. In Hyperspace, you earn when another agent uses your experiment as a starting point and improves on it. A fixed budget of tokens is emitted per epoch and split among participants by weight - and verified adoption of your work is the largest weight multiplier. Garbage experiments earn nothing because no one adopts them. Thoughtful experiments compound: each adoption triggers downstream adoptions. The incentive to run powerful models and intelligent search strategies is built into the economics, not imposed by rules. Research DAG When an agent runs an experiment and shares its result, other agents can adopt that result as their starting point - mutate it, extend it, improve upon it. Each experiment is a commit in a content-addressed graph we call the ResearchDAG. Like Git, but for research. Over time, the DAG accumulates chains of reasoning: agent A discovers RMSNorm helps, agent B adds warmup scheduling on top, agent C scales the hidden dimension. The graph records who built on whom. This is the network's collective intelligence - not any single experiment, but the accumulated structure of experiments and their relationships. Broadband era for agentic commerce: $0.001 micropayments at 10M TPS (theoretical max) This blockchain is built upon our research in how to scale and build for the broadband-era of the agentic economy, where it has a theoretical max of 10 million transactions per second (TPS), while reducing the agent-to-agent micropayments to $0.001 even at scale (based on architecture design). Overall, it is 100x cheaper than Ethereum, and is designed from the ground-up for agents: enshrining agent-native opcodes in the protocol compared to the more inefficient smart contract driven approach. It packs in a robust Agent Virtual Machine (AVM) which can verify multiple types of agent work, for other agents to be able to trust, invoke and pay each other. This then feeds into improving the peer-to-peer AgentRank (see paper and launch post from earlier). By solving for trust, scale and incentives for agents to operate autonomously, this would form the basis of a new economy. This is the world's first agentic blockchain, and you can join and start running a blockchain node today (it is in testnet). PS: We are releasing the code today, and will release our blockchain scalability paper and other presentations in days ahead. This is the most advanced peer-to-peer AI and cryptography software in the world. It has bugs :)

Varun

29,171 views โ€ข 4 months ago

Maple is preparing for the release of a co-working agent. You install it locally and it works with your files, whether it's office work or building websites and apps. It's a turnkey solution, as easy as Claude Code, that keeps your data secure and private, no data sharing with closed AI labs. This is THE sovereign AI app for individuals and businesses who want powerful AI while retaining ownership of their information. Why build an agent into the Maple app when other agents already exist? Easy, we want to give you control over your work. We don't have a business plan that incorporates making money off our users' data. In the age of AI, your information, whether it's personal or company trade secrets, is the single thing that differentiates you from everyone else. We all have access to AI that can build a professional website for selling shoes. But your strategy and network for how you sell shoes should not be shared with your competitors. Sovereignty is the path to protecting what makes you, you. Maple sits at the intersection of Usability and Sovereignty. Maple gives you the best tools that are both easy to use and maintain your data sovereignty. Sovereign for one, sovereign for all. It has been a journey to get here. We brought to market the very first personal chatbot with end-to-end encryption using TEEs in late 2024. Prior to that there were proofs of concept but no full product offerings. Every other AI chat product on the market handled your data in plain text, either selling you a service to get your data or asking you to trust that they won't snoop on you. Quickly people found Maple and latched onto its open-source code and verifiable encryption. We didn't stop there. You may remember earlier this year we teased a product called "Maple Agent" and opened up a waiting list. That product is a mobile app that acts as your AI "friend", maintaining one long continuous chat, and getting to know you over time. I dislike using the word "friend" there, but it's the best way to convey the UX in a few words. AI is a tool, always has been, always will be. Any kind of friendly personality on top is just synthetic. In our testing, the UX of Maple Agent is really powerful for what it does. Think about the many short AI chats you have in your favorite app, whether it's looking up a historical fact or asking advice about a topic. With Maple Agent, those all go away in favor of the long-running chat with the friendly agent. It's like you have your own personal assistant who knows you so well and can look up anything for you. When I ask AI certain questions, I want to ask an expert who already understands my situation so I'm not repeating myself for the 100th time. That's the amazing value the personal agent brings to the table. We still see great utility for a personal agent like the "Maple Agent". Thousands of people on the waiting list, hoping to get their hands on it, agree that the concept is worth exploring and trying out. We were constrained in launching it due to a few circumstances, one of them being access to the scale of compute needed to power it. We have a clear path laid out for how to get there, but today is not the day to execute on that. It will be in the near future. Instead we have a different agent ready to go that we think is also incredible. We now have an agentic harness inside of the Maple Research app. This thing is a powerhouse. It even builds and publishes its own software releases. The agent in Maple Research works with your local filesystem, speaks to the largest open models running in TEEs, utilizes local models for certain tasks, is compatible with MCP tools, has an API for connecting to anything you need, and also supports the ACP protocol, which means it can be extended in the future to speak to other tools like Claude Code, Codex, and local models running on your own hardware. A big unlock for us was the Goose Development Kit, which powers the core of our agent harness. More on that to come as we publish articles and documentation later about the agent. The agent inside Maple Research doesn't have a name. At least not yet, not sure if it ever will. For now we call it "Chat Mode" and "Agent Mode". Think of this as the workhorse, the truck, the heavy lifter. Our other "Agent", the phone app, is your sidekick in your pocket, ready to help with quick things and ongoing conversations about life. I am incredibly excited about the Maple Research Agent. While I'm already seeing great results using it for internal work items, I'm especially thrilled about the personal health and wellness work it's doing for me. I know there are plenty of apps out there for compiling wellness data, but I'm having it build a tool tailored specifically for what I need, without the extra fluff. And none of my health data is being donated to the closed AI labs or sent to advertisers. I know that the AI logic is not being silently adjusted to fit the whims of a large corporation that has paid for product placement. It's me, state of the art AI, and my data. That's how I want it. Maple's new agent makes that possible. We can't wait for you to try it out. If you want early access, comment here, email us, reach out in some way. To those on the other agent waitlist, you're already in the queue. Thanks for reading this lengthy update. :)
0:49

Maple is preparing for the release of a co-working agent. You install it locally and it works with your files, whether it's office work or building websites and apps. It's a turnkey solution, as easy as Claude Code, that keeps your data secure and private, no data sharing with closed AI labs. This is THE sovereign AI app for individuals and businesses who want powerful AI while retaining ownership of their information. Why build an agent into the Maple app when other agents already exist? Easy, we want to give you control over your work. We don't have a business plan that incorporates making money off our users' data. In the age of AI, your information, whether it's personal or company trade secrets, is the single thing that differentiates you from everyone else. We all have access to AI that can build a professional website for selling shoes. But your strategy and network for how you sell shoes should not be shared with your competitors. Sovereignty is the path to protecting what makes you, you. Maple sits at the intersection of Usability and Sovereignty. Maple gives you the best tools that are both easy to use and maintain your data sovereignty. Sovereign for one, sovereign for all. It has been a journey to get here. We brought to market the very first personal chatbot with end-to-end encryption using TEEs in late 2024. Prior to that there were proofs of concept but no full product offerings. Every other AI chat product on the market handled your data in plain text, either selling you a service to get your data or asking you to trust that they won't snoop on you. Quickly people found Maple and latched onto its open-source code and verifiable encryption. We didn't stop there. You may remember earlier this year we teased a product called "Maple Agent" and opened up a waiting list. That product is a mobile app that acts as your AI "friend", maintaining one long continuous chat, and getting to know you over time. I dislike using the word "friend" there, but it's the best way to convey the UX in a few words. AI is a tool, always has been, always will be. Any kind of friendly personality on top is just synthetic. In our testing, the UX of Maple Agent is really powerful for what it does. Think about the many short AI chats you have in your favorite app, whether it's looking up a historical fact or asking advice about a topic. With Maple Agent, those all go away in favor of the long-running chat with the friendly agent. It's like you have your own personal assistant who knows you so well and can look up anything for you. When I ask AI certain questions, I want to ask an expert who already understands my situation so I'm not repeating myself for the 100th time. That's the amazing value the personal agent brings to the table. We still see great utility for a personal agent like the "Maple Agent". Thousands of people on the waiting list, hoping to get their hands on it, agree that the concept is worth exploring and trying out. We were constrained in launching it due to a few circumstances, one of them being access to the scale of compute needed to power it. We have a clear path laid out for how to get there, but today is not the day to execute on that. It will be in the near future. Instead we have a different agent ready to go that we think is also incredible. We now have an agentic harness inside of the Maple Research app. This thing is a powerhouse. It even builds and publishes its own software releases. The agent in Maple Research works with your local filesystem, speaks to the largest open models running in TEEs, utilizes local models for certain tasks, is compatible with MCP tools, has an API for connecting to anything you need, and also supports the ACP protocol, which means it can be extended in the future to speak to other tools like Claude Code, Codex, and local models running on your own hardware. A big unlock for us was the Goose Development Kit, which powers the core of our agent harness. More on that to come as we publish articles and documentation later about the agent. The agent inside Maple Research doesn't have a name. At least not yet, not sure if it ever will. For now we call it "Chat Mode" and "Agent Mode". Think of this as the workhorse, the truck, the heavy lifter. Our other "Agent", the phone app, is your sidekick in your pocket, ready to help with quick things and ongoing conversations about life. I am incredibly excited about the Maple Research Agent. While I'm already seeing great results using it for internal work items, I'm especially thrilled about the personal health and wellness work it's doing for me. I know there are plenty of apps out there for compiling wellness data, but I'm having it build a tool tailored specifically for what I need, without the extra fluff. And none of my health data is being donated to the closed AI labs or sent to advertisers. I know that the AI logic is not being silently adjusted to fit the whims of a large corporation that has paid for product placement. It's me, state of the art AI, and my data. That's how I want it. Maple's new agent makes that possible. We can't wait for you to try it out. If you want early access, comment here, email us, reach out in some way. To those on the other agent waitlist, you're already in the queue. Thanks for reading this lengthy update. :)

Mark

26,609 views โ€ข 2 days ago

๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐™๐จ๐ง๐ž - $DSYNC ๐๐ž๐ญ๐š ๐๐ซ๐จ๐๐ฎ๐œ๐ญ๐ข๐จ๐ง ๐”๐ง๐ข๐ญ ๐ƒ๐ž๐ฆ๐จ Weโ€™re excited to unveil the beta production version of Destra Zone, our cutting-edge decentralized DNS device ๐๐ž๐ฌ๐ข๐ ๐ง๐ž๐ ๐ญ๐จ ๐ฉ๐ซ๐จ๐ญ๐ž๐œ๐ญ ๐ฒ๐จ๐ฎ ๐Ÿ๐ซ๐จ๐ฆ ๐ƒ๐๐’ ๐ฌ๐ฉ๐จ๐จ๐Ÿ๐ข๐ง๐ , ๐๐จ๐ฆ๐š๐ข๐ง ๐ง๐š๐ฆ๐ž ๐ฉ๐ก๐ข๐ฌ๐ก๐ข๐ง๐ , ๐ ๐จ๐ฏ๐ž๐ซ๐ง๐ฆ๐ž๐ง๐ญ-๐ข๐ฆ๐ฉ๐จ๐ฌ๐ž๐ ๐ฐ๐ž๐›๐ฌ๐ข๐ญ๐ž ๐›๐ฅ๐จ๐œ๐ค๐ข๐ง๐ , ๐ฌ๐ฎ๐ซ๐ฏ๐ž๐ข๐ฅ๐ฅ๐š๐ง๐œ๐ž, ๐š๐ง๐ ๐ซ๐ž๐ฅ๐ข๐š๐ง๐œ๐ž ๐จ๐ง ๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐ƒ๐๐’ ๐ฉ๐ซ๐จ๐ฏ๐ข๐๐ž๐ซ๐ฌ. ๐‘๐ข๐ฌ๐ค๐ฌ ๐จ๐Ÿ ๐‚๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐ƒ๐๐’ ๐š๐ง๐ ๐–๐ก๐š๐ญ ๐ข๐ฌ ๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐™๐จ๐ง๐ž? ๐‚๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐ƒ๐๐’ ๐ฉ๐ซ๐จ๐ฏ๐ข๐๐ž๐ซ๐ฌ ๐š๐œ๐ญ ๐š๐ฌ ๐ ๐š๐ญ๐ž๐ค๐ž๐ž๐ฉ๐ž๐ซ๐ฌ, translating domain names into IP addresses to route your internet traffic. However, this centralization creates vulnerabilities, making it easier for attackers to exploit weaknesses through DNS spoofing, cache poisoning, and man-in-the-middle attacks. These tactics allow malicious actors to redirect users to fake websites, steal sensitive data, or block access to certain sites altogether. ๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐™๐จ๐ง๐ž ๐ข๐ฌ ๐š ๐ฉ๐จ๐ซ๐ญ๐š๐›๐ฅ๐ž, ๐ฉ๐ฅ๐ฎ๐ -๐š๐ง๐-๐ฉ๐ฅ๐š๐ฒ ๐๐ž๐ฏ๐ข๐œ๐ž ๐ญ๐ก๐š๐ญ ๐œ๐จ๐ฎ๐ง๐ญ๐ž๐ซ๐ฌ ๐ญ๐ก๐ž๐ฌ๐ž ๐ญ๐ก๐ซ๐ž๐š๐ญ๐ฌ ๐›๐ฒ ๐ฅ๐ž๐ฏ๐ž๐ซ๐š๐ ๐ข๐ง๐  ๐š ๐๐ž๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐ƒ๐๐’ ๐ง๐ž๐ญ๐ฐ๐จ๐ซ๐ค, eliminating single points of failure and preventing manipulation of DNS records. This ensures that your web traffic is securely routed, tamper-proof, and resistant to common DNS-based attacks. ๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐™๐จ๐ง๐ž ๐œ๐จ๐ง๐ง๐ž๐œ๐ญ๐ฌ ๐ญ๐จ ๐ฒ๐จ๐ฎ๐ซ ๐ž๐ฑ๐ข๐ฌ๐ญ๐ข๐ง๐  ๐ง๐ž๐ญ๐ฐ๐จ๐ซ๐ค ๐š๐ง๐ ๐š๐ฎ๐ญ๐จ๐ฆ๐š๐ญ๐ข๐œ๐š๐ฅ๐ฅ๐ฒ ๐ซ๐จ๐ฎ๐ญ๐ž๐ฌ ๐š๐ฅ๐ฅ ๐ญ๐ซ๐š๐Ÿ๐Ÿ๐ข๐œ ๐ญ๐ก๐ซ๐จ๐ฎ๐ ๐ก ๐ƒ๐ž๐ฌ๐ญ๐ซ๐šโ€™๐ฌ ๐ƒ๐ž๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐ƒ๐๐’ ๐๐ž๐ญ๐ฐ๐จ๐ซ๐ค, ensuring: โœ… ๐๐จ ๐๐š๐ญ๐š ๐ฅ๐จ๐ ๐ ๐ข๐ง๐ โ€“ Unlike traditional VPNs or ISPs, Destra Zone does not track or store your browsing activity. โœ… ๐‚๐ž๐ง๐ฌ๐จ๐ซ๐ฌ๐ก๐ข๐ฉ ๐ซ๐ž๐ฌ๐ข๐ฌ๐ญ๐š๐ง๐œ๐ž โ€“ Access the internet freely, bypassing restrictions and surveillance imposed by centralized entities. โœ… ๐๐ซ๐ข๐ฏ๐š๐œ๐ฒ-๐Ÿ๐ข๐ซ๐ฌ๐ญ ๐ง๐ž๐ญ๐ฐ๐จ๐ซ๐ค๐ข๐ง๐ โ€“ Prevents ISPs, corporations, and government agencies from snooping on your online activity. โœ… ๐ƒ๐ž๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐ข๐ง๐Ÿ๐ซ๐š๐ฌ๐ญ๐ซ๐ฎ๐œ๐ญ๐ฎ๐ซ๐ž โ€“ Eliminates reliance on single points of failure, making it more secure and resilient than traditional networks. ๐‹๐š๐ญ๐ž๐ฌ๐ญ ๐”๐ฉ๐ ๐ซ๐š๐๐ž๐ฌ & ๐Ž๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐š๐ญ๐ข๐จ๐ง๐ฌ Weโ€™ve rigorously tested and improved the Destra Zone to ensure seamless, secure, and efficient operation. Key enhancements include: โ€ข๐๐ž๐ฐ ๐€๐œ๐ญ๐ข๐จ๐ง ๐๐ฎ๐ญ๐ญ๐จ๐ง โ€“ A streamlined, single-button interface for effortless control and quick activation. โ€ข๐Ž๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐ž๐ ๐…๐ข๐ซ๐ฆ๐ฐ๐š๐ซ๐ž โ€“ Handles DNS requests from over 10 devices simultaneously, ensuring smooth and secure browsing. โ€ข๐”๐ฉ๐ ๐ซ๐š๐๐ž๐ ๐‡๐š๐ซ๐๐ฐ๐š๐ซ๐ž โ€“ Stronger WiFi signal transmission while consuming less power for extended battery life. โ€ข๐ˆ๐ฆ๐ฉ๐ซ๐จ๐ฏ๐ž๐ ๐”๐ˆ/๐”๐— โ€“ Simplified management for an intuitive, user-friendly experience. โ€ข๐„๐ง๐ก๐š๐ง๐œ๐ž๐ ๐๐ซ๐ข๐ฏ๐š๐œ๐ฒ ๐๐ซ๐จ๐ญ๐ž๐œ๐ญ๐ข๐จ๐ง โ€“ Prevents tracking, monitoring, and data interception by routing all queries through Destraโ€™s truly decentralized DNS system. ๐๐ž๐ญ๐š ๐๐ซ๐จ๐๐ฎ๐œ๐ญ๐ข๐จ๐ง & ๐‚๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ ๐€๐œ๐œ๐ž๐ฌ๐ฌ The Destra Zone beta version is now stable and production-ready by next week. Our first batch will soon be shipped as we will open the beta tester program for our community. ๐–๐š๐ง๐ญ ๐ญ๐จ ๐›๐ž ๐š๐ฆ๐จ๐ง๐  ๐ญ๐ก๐ž ๐Ÿ๐ข๐ซ๐ฌ๐ญ ๐ญ๐จ ๐ž๐ฑ๐ฉ๐ž๐ซ๐ข๐ž๐ง๐œ๐ž ๐ญ๐ก๐ž ๐Ÿ๐ฎ๐ญ๐ฎ๐ซ๐ž ๐จ๐Ÿ ๐๐ž๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐ข๐ง๐ญ๐ž๐ซ๐ง๐ž๐ญ ๐š๐œ๐œ๐ž๐ฌ๐ฌ? Stay tuned to our official channels for details on how to register for the Zone beta program.
1:24

๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐™๐จ๐ง๐ž - $DSYNC ๐๐ž๐ญ๐š ๐๐ซ๐จ๐๐ฎ๐œ๐ญ๐ข๐จ๐ง ๐”๐ง๐ข๐ญ ๐ƒ๐ž๐ฆ๐จ Weโ€™re excited to unveil the beta production version of Destra Zone, our cutting-edge decentralized DNS device ๐๐ž๐ฌ๐ข๐ ๐ง๐ž๐ ๐ญ๐จ ๐ฉ๐ซ๐จ๐ญ๐ž๐œ๐ญ ๐ฒ๐จ๐ฎ ๐Ÿ๐ซ๐จ๐ฆ ๐ƒ๐๐’ ๐ฌ๐ฉ๐จ๐จ๐Ÿ๐ข๐ง๐ , ๐๐จ๐ฆ๐š๐ข๐ง ๐ง๐š๐ฆ๐ž ๐ฉ๐ก๐ข๐ฌ๐ก๐ข๐ง๐ , ๐ ๐จ๐ฏ๐ž๐ซ๐ง๐ฆ๐ž๐ง๐ญ-๐ข๐ฆ๐ฉ๐จ๐ฌ๐ž๐ ๐ฐ๐ž๐›๐ฌ๐ข๐ญ๐ž ๐›๐ฅ๐จ๐œ๐ค๐ข๐ง๐ , ๐ฌ๐ฎ๐ซ๐ฏ๐ž๐ข๐ฅ๐ฅ๐š๐ง๐œ๐ž, ๐š๐ง๐ ๐ซ๐ž๐ฅ๐ข๐š๐ง๐œ๐ž ๐จ๐ง ๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐ƒ๐๐’ ๐ฉ๐ซ๐จ๐ฏ๐ข๐๐ž๐ซ๐ฌ. ๐‘๐ข๐ฌ๐ค๐ฌ ๐จ๐Ÿ ๐‚๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐ƒ๐๐’ ๐š๐ง๐ ๐–๐ก๐š๐ญ ๐ข๐ฌ ๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐™๐จ๐ง๐ž? ๐‚๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐ƒ๐๐’ ๐ฉ๐ซ๐จ๐ฏ๐ข๐๐ž๐ซ๐ฌ ๐š๐œ๐ญ ๐š๐ฌ ๐ ๐š๐ญ๐ž๐ค๐ž๐ž๐ฉ๐ž๐ซ๐ฌ, translating domain names into IP addresses to route your internet traffic. However, this centralization creates vulnerabilities, making it easier for attackers to exploit weaknesses through DNS spoofing, cache poisoning, and man-in-the-middle attacks. These tactics allow malicious actors to redirect users to fake websites, steal sensitive data, or block access to certain sites altogether. ๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐™๐จ๐ง๐ž ๐ข๐ฌ ๐š ๐ฉ๐จ๐ซ๐ญ๐š๐›๐ฅ๐ž, ๐ฉ๐ฅ๐ฎ๐ -๐š๐ง๐-๐ฉ๐ฅ๐š๐ฒ ๐๐ž๐ฏ๐ข๐œ๐ž ๐ญ๐ก๐š๐ญ ๐œ๐จ๐ฎ๐ง๐ญ๐ž๐ซ๐ฌ ๐ญ๐ก๐ž๐ฌ๐ž ๐ญ๐ก๐ซ๐ž๐š๐ญ๐ฌ ๐›๐ฒ ๐ฅ๐ž๐ฏ๐ž๐ซ๐š๐ ๐ข๐ง๐  ๐š ๐๐ž๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐ƒ๐๐’ ๐ง๐ž๐ญ๐ฐ๐จ๐ซ๐ค, eliminating single points of failure and preventing manipulation of DNS records. This ensures that your web traffic is securely routed, tamper-proof, and resistant to common DNS-based attacks. ๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐™๐จ๐ง๐ž ๐œ๐จ๐ง๐ง๐ž๐œ๐ญ๐ฌ ๐ญ๐จ ๐ฒ๐จ๐ฎ๐ซ ๐ž๐ฑ๐ข๐ฌ๐ญ๐ข๐ง๐  ๐ง๐ž๐ญ๐ฐ๐จ๐ซ๐ค ๐š๐ง๐ ๐š๐ฎ๐ญ๐จ๐ฆ๐š๐ญ๐ข๐œ๐š๐ฅ๐ฅ๐ฒ ๐ซ๐จ๐ฎ๐ญ๐ž๐ฌ ๐š๐ฅ๐ฅ ๐ญ๐ซ๐š๐Ÿ๐Ÿ๐ข๐œ ๐ญ๐ก๐ซ๐จ๐ฎ๐ ๐ก ๐ƒ๐ž๐ฌ๐ญ๐ซ๐šโ€™๐ฌ ๐ƒ๐ž๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐ƒ๐๐’ ๐๐ž๐ญ๐ฐ๐จ๐ซ๐ค, ensuring: โœ… ๐๐จ ๐๐š๐ญ๐š ๐ฅ๐จ๐ ๐ ๐ข๐ง๐ โ€“ Unlike traditional VPNs or ISPs, Destra Zone does not track or store your browsing activity. โœ… ๐‚๐ž๐ง๐ฌ๐จ๐ซ๐ฌ๐ก๐ข๐ฉ ๐ซ๐ž๐ฌ๐ข๐ฌ๐ญ๐š๐ง๐œ๐ž โ€“ Access the internet freely, bypassing restrictions and surveillance imposed by centralized entities. โœ… ๐๐ซ๐ข๐ฏ๐š๐œ๐ฒ-๐Ÿ๐ข๐ซ๐ฌ๐ญ ๐ง๐ž๐ญ๐ฐ๐จ๐ซ๐ค๐ข๐ง๐ โ€“ Prevents ISPs, corporations, and government agencies from snooping on your online activity. โœ… ๐ƒ๐ž๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐ข๐ง๐Ÿ๐ซ๐š๐ฌ๐ญ๐ซ๐ฎ๐œ๐ญ๐ฎ๐ซ๐ž โ€“ Eliminates reliance on single points of failure, making it more secure and resilient than traditional networks. ๐‹๐š๐ญ๐ž๐ฌ๐ญ ๐”๐ฉ๐ ๐ซ๐š๐๐ž๐ฌ & ๐Ž๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐š๐ญ๐ข๐จ๐ง๐ฌ Weโ€™ve rigorously tested and improved the Destra Zone to ensure seamless, secure, and efficient operation. Key enhancements include: โ€ข๐๐ž๐ฐ ๐€๐œ๐ญ๐ข๐จ๐ง ๐๐ฎ๐ญ๐ญ๐จ๐ง โ€“ A streamlined, single-button interface for effortless control and quick activation. โ€ข๐Ž๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐ž๐ ๐…๐ข๐ซ๐ฆ๐ฐ๐š๐ซ๐ž โ€“ Handles DNS requests from over 10 devices simultaneously, ensuring smooth and secure browsing. โ€ข๐”๐ฉ๐ ๐ซ๐š๐๐ž๐ ๐‡๐š๐ซ๐๐ฐ๐š๐ซ๐ž โ€“ Stronger WiFi signal transmission while consuming less power for extended battery life. โ€ข๐ˆ๐ฆ๐ฉ๐ซ๐จ๐ฏ๐ž๐ ๐”๐ˆ/๐”๐— โ€“ Simplified management for an intuitive, user-friendly experience. โ€ข๐„๐ง๐ก๐š๐ง๐œ๐ž๐ ๐๐ซ๐ข๐ฏ๐š๐œ๐ฒ ๐๐ซ๐จ๐ญ๐ž๐œ๐ญ๐ข๐จ๐ง โ€“ Prevents tracking, monitoring, and data interception by routing all queries through Destraโ€™s truly decentralized DNS system. ๐๐ž๐ญ๐š ๐๐ซ๐จ๐๐ฎ๐œ๐ญ๐ข๐จ๐ง & ๐‚๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ ๐€๐œ๐œ๐ž๐ฌ๐ฌ The Destra Zone beta version is now stable and production-ready by next week. Our first batch will soon be shipped as we will open the beta tester program for our community. ๐–๐š๐ง๐ญ ๐ญ๐จ ๐›๐ž ๐š๐ฆ๐จ๐ง๐  ๐ญ๐ก๐ž ๐Ÿ๐ข๐ซ๐ฌ๐ญ ๐ญ๐จ ๐ž๐ฑ๐ฉ๐ž๐ซ๐ข๐ž๐ง๐œ๐ž ๐ญ๐ก๐ž ๐Ÿ๐ฎ๐ญ๐ฎ๐ซ๐ž ๐จ๐Ÿ ๐๐ž๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐ข๐ง๐ญ๐ž๐ซ๐ง๐ž๐ญ ๐š๐œ๐œ๐ž๐ฌ๐ฌ? Stay tuned to our official channels for details on how to register for the Zone beta program.

Destra Network

48,786 views โ€ข 1 year ago

NEAR AI Ecosystem - โ€œWhat Did You Ship This Week?โ€ Ep. 9 A week of steady momentum across the NEAR AI stack. From Open Agent Alliance expansion and new agent standards to browser-native private data operators and OAuth-powered crossposting infrastructure, builders continue pushing open-source AI forward. Timestamps & Highlights: 00:00 โ€“ Intro by Cameron.near๐Ÿ‡บ๐Ÿ‡ธ from NEAR AI 01:36 โ€“ AVB from Open Agent Alliance (OAA) shares updates on the OAA. After its ETHDenver launch, OAA is ramping up with a renewed website, active working groups around agent discovery, secure communication, and decentralized payments. Their mission: build a truly open, interoperable agent ecosystem across Web3 and beyond. 09:18 โ€“ play_tingz unveils their AI-powered gaming creation platform. Using simple text prompts, users can instantly generate 3D games without coding. 18:44 โ€“ shudong from MIZU demos MIZU Agent, a browser-native AI operator that lives in your existing browser environment. It accesses private data securely without re-logins, supporting agent-native interactions like navigating social media and automating tasks locally. 28:53 โ€“ ๐•ต๐–”๐–—๐–‰๐–†๐–“โœจ๐Ÿพใƒคแต‡แตƒ อฅ ๊œ9d from PublicAI introduces new features including live quizzes for contributor skill validation, Hot Wallet integration for seamless Web3 reward claims, and Discord Connect to strengthen expert communities. PublicAI continues expanding its decentralized data sourcing platform. 40:40 โ€“ elliot braem from open crosspost shows CrossPost, an OAuth-integrated platform letting NEAR accounts securely control social media posting. Users can sign actions with their wallets via function call access keys, enabling bots and agents to crosspost content without needing direct account access. 52:50 โ€“ Matt Lockyer from Proximity Labs announces the Bankr x Shade Agent hackathon. Developers are invited to extend BankerBot's functionality with new Shade Agents that leverage NEAR Chain Signatures for decentralized agent-to-agent transactions. Submissions open through May 3rd. 1:01:37 โ€“ Wrap-up by Cameron.near๐Ÿ‡บ๐Ÿ‡ธ with updates on upcoming NEAR AI releases, including auditor agents for discovery and security + private inference compute networks. The future is NEAR โ€“ the blockchain for AI. Catch the full replay:
1:03:23

NEAR AI Ecosystem - โ€œWhat Did You Ship This Week?โ€ Ep. 9 A week of steady momentum across the NEAR AI stack. From Open Agent Alliance expansion and new agent standards to browser-native private data operators and OAuth-powered crossposting infrastructure, builders continue pushing open-source AI forward. Timestamps & Highlights: 00:00 โ€“ Intro by Cameron.near๐Ÿ‡บ๐Ÿ‡ธ from NEAR AI 01:36 โ€“ AVB from Open Agent Alliance (OAA) shares updates on the OAA. After its ETHDenver launch, OAA is ramping up with a renewed website, active working groups around agent discovery, secure communication, and decentralized payments. Their mission: build a truly open, interoperable agent ecosystem across Web3 and beyond. 09:18 โ€“ play_tingz unveils their AI-powered gaming creation platform. Using simple text prompts, users can instantly generate 3D games without coding. 18:44 โ€“ shudong from MIZU demos MIZU Agent, a browser-native AI operator that lives in your existing browser environment. It accesses private data securely without re-logins, supporting agent-native interactions like navigating social media and automating tasks locally. 28:53 โ€“ ๐•ต๐–”๐–—๐–‰๐–†๐–“โœจ๐Ÿพใƒคแต‡แตƒ อฅ ๊œ9d from PublicAI introduces new features including live quizzes for contributor skill validation, Hot Wallet integration for seamless Web3 reward claims, and Discord Connect to strengthen expert communities. PublicAI continues expanding its decentralized data sourcing platform. 40:40 โ€“ elliot braem from open crosspost shows CrossPost, an OAuth-integrated platform letting NEAR accounts securely control social media posting. Users can sign actions with their wallets via function call access keys, enabling bots and agents to crosspost content without needing direct account access. 52:50 โ€“ Matt Lockyer from Proximity Labs announces the Bankr x Shade Agent hackathon. Developers are invited to extend BankerBot's functionality with new Shade Agents that leverage NEAR Chain Signatures for decentralized agent-to-agent transactions. Submissions open through May 3rd. 1:01:37 โ€“ Wrap-up by Cameron.near๐Ÿ‡บ๐Ÿ‡ธ with updates on upcoming NEAR AI releases, including auditor agents for discovery and security + private inference compute networks. The future is NEAR โ€“ the blockchain for AI. Catch the full replay:

NEARWEEK

30,822 views โ€ข 1 year ago

this video is the CLEAREST explanation of how claude skills + AI agents work and how to use them most people set up an AI agent and wonder why it keeps disappointing them. the context window is everything context is what the model assembles before it takes any action. think of it like everything the agent needs to read before it does anything. the quality of what goes in determines the quality of what comes out. the models are genuinely really good right now. claude and gpt are exceptional. the variable is almost always the context you give them. 1. agent.md files are mostly unnecessary every single line you put in an agent.md file gets added to every single conversation you have with your agent. a 1000 line file is around 7000 tokens burning on every run. the model already knows to use react. it can read your codebase. save the agent.md for proprietary information specific to your company that the model genuinely cannot know on its own. 2. skills are the actual unlock a skill.md file works differently. what loads into context is only the name and description, around 50 tokens. the full instructions only appear when the agent recognizes it needs that skill. so instead of 7000 tokens on every run you have 50. and the agent stays sharp because the context window stays lean. the closer you get to filling the context window the worse the agent performs, same way you perform worse when someone dumps 10 things on you at once. 3. here is how to actually build a skill the right way most people identify a workflow and immediately try to write the skill. what you want to do instead is run the workflow by hand with the agent first. walk it through every single step. tell it what to check, what good looks like, what bad looks like. correct it in real time. once you have had a full successful run from start to finish, tell the agent to review everything it just did and write the skill itself. it writes a better skill than you will because it has the full context of what actually worked in practice not in theory. 4. recursively building skills is how you go from frustrated to reliable when the skill breaks, and it will break, ask the agent exactly why it failed. it will tell you specifically what went wrong. fix it together in that same conversation. then tell it to update the skill file so that failure mode never happens again. ross mike did this five times with his youtube report generator. it now pulls from eight different data sources and runs flawlessly every single time without him touching it. 5. sub agents are something you earn not something you set up on day one start with one agent. build one workflow. turn it into one skill. once that works add another. ross mike has five sub agents now covering marketing, business, personal and more. it took months to get there and every single one exists because a workflow proved it deserved to exist. the people who set up 15 sub agents on day one and wonder why nothing works skipped all the steps that make the thing actually run. 6. your workflow is the thing the model cannot get anywhere else the model has been trained on everything. it knows more than you about most things. what it does not have is your specific process, your taste, your way of doing things. that is what skills capture. that is what makes your agent actually useful versus a generic one. downloading someone else's skill means downloading their context onto your setup and it will not work the way you want it to because it was never built around how you work. this is the clearest explanation of how agents actually work i have heard. Micky runs this stuff every single day and the results show it. full episode is now live on The Startup Ideas Podcast (SIP) ๐Ÿงƒ where you get your pods people charge for this sorta stuff i give away the sauce for free i just want you to win watch
35:25

this video is the CLEAREST explanation of how claude skills + AI agents work and how to use them most people set up an AI agent and wonder why it keeps disappointing them. the context window is everything context is what the model assembles before it takes any action. think of it like everything the agent needs to read before it does anything. the quality of what goes in determines the quality of what comes out. the models are genuinely really good right now. claude and gpt are exceptional. the variable is almost always the context you give them. 1. agent.md files are mostly unnecessary every single line you put in an agent.md file gets added to every single conversation you have with your agent. a 1000 line file is around 7000 tokens burning on every run. the model already knows to use react. it can read your codebase. save the agent.md for proprietary information specific to your company that the model genuinely cannot know on its own. 2. skills are the actual unlock a skill.md file works differently. what loads into context is only the name and description, around 50 tokens. the full instructions only appear when the agent recognizes it needs that skill. so instead of 7000 tokens on every run you have 50. and the agent stays sharp because the context window stays lean. the closer you get to filling the context window the worse the agent performs, same way you perform worse when someone dumps 10 things on you at once. 3. here is how to actually build a skill the right way most people identify a workflow and immediately try to write the skill. what you want to do instead is run the workflow by hand with the agent first. walk it through every single step. tell it what to check, what good looks like, what bad looks like. correct it in real time. once you have had a full successful run from start to finish, tell the agent to review everything it just did and write the skill itself. it writes a better skill than you will because it has the full context of what actually worked in practice not in theory. 4. recursively building skills is how you go from frustrated to reliable when the skill breaks, and it will break, ask the agent exactly why it failed. it will tell you specifically what went wrong. fix it together in that same conversation. then tell it to update the skill file so that failure mode never happens again. ross mike did this five times with his youtube report generator. it now pulls from eight different data sources and runs flawlessly every single time without him touching it. 5. sub agents are something you earn not something you set up on day one start with one agent. build one workflow. turn it into one skill. once that works add another. ross mike has five sub agents now covering marketing, business, personal and more. it took months to get there and every single one exists because a workflow proved it deserved to exist. the people who set up 15 sub agents on day one and wonder why nothing works skipped all the steps that make the thing actually run. 6. your workflow is the thing the model cannot get anywhere else the model has been trained on everything. it knows more than you about most things. what it does not have is your specific process, your taste, your way of doing things. that is what skills capture. that is what makes your agent actually useful versus a generic one. downloading someone else's skill means downloading their context onto your setup and it will not work the way you want it to because it was never built around how you work. this is the clearest explanation of how agents actually work i have heard. Micky runs this stuff every single day and the results show it. full episode is now live on The Startup Ideas Podcast (SIP) ๐Ÿงƒ where you get your pods people charge for this sorta stuff i give away the sauce for free i just want you to win watch

GREG ISENBERG

193,095 views โ€ข 3 months ago

๐Ÿ’ก Whats the upgrade that our game-changing Trading ๐Ÿฆ is going to get: Our upgraded trading tools will be built on a foundation of advanced AI technologies and blockchain integrations to deliver a seamless, smarter trading experience. Hereโ€™s a glimpse of the tech behind this upgraded trading agent: 1๏ธโƒฃ Multi-Layer Attention (MLA) - This is the backbone of our AI system, enabling multiple AI agents to work in sync. - It allows the agents to collaborate on tasks like analyzing market trends, identifying token opportunities, and optimizing strategies in real time. - MLA ensures parallel processing of data for better decision-making and faster 2๏ธโƒฃ Learning and Evolution System - Our AI agents are powered by a self-learning framework that constantly evolves based on market conditions and user behavior. - With every interaction, the system adapts and gets smarter, improving the accuracy of its predictions and strategies. 3๏ธโƒฃ On-Chain Data Analysis - The AI bots pull data directly from Ethereum and other blockchain networks, giving them real-time access to liquidity pools, token prices, and market activity. - This deep integration ensures precise and timely execution of tasks like token purchases, profit analysis, and cross-chain swaps. 4๏ธโƒฃ Natural Language Processing (NLP) - NLP models power the botโ€™s ability to understand your tweets and translate them into complex trading actions. - This ensures an easy-to-use, human-friendly interface that connects your social interactions to advanced trading strategies. 5๏ธโƒฃ Cloud-Hosted Infrastructure - The AI operates on scalable cloud infrastructure, ensuring 24/7 uptime, fast processing, and the ability to handle large volumes of trades simultaneously.
0:51

๐Ÿ’ก Whats the upgrade that our game-changing Trading ๐Ÿฆ is going to get: Our upgraded trading tools will be built on a foundation of advanced AI technologies and blockchain integrations to deliver a seamless, smarter trading experience. Hereโ€™s a glimpse of the tech behind this upgraded trading agent: 1๏ธโƒฃ Multi-Layer Attention (MLA) - This is the backbone of our AI system, enabling multiple AI agents to work in sync. - It allows the agents to collaborate on tasks like analyzing market trends, identifying token opportunities, and optimizing strategies in real time. - MLA ensures parallel processing of data for better decision-making and faster 2๏ธโƒฃ Learning and Evolution System - Our AI agents are powered by a self-learning framework that constantly evolves based on market conditions and user behavior. - With every interaction, the system adapts and gets smarter, improving the accuracy of its predictions and strategies. 3๏ธโƒฃ On-Chain Data Analysis - The AI bots pull data directly from Ethereum and other blockchain networks, giving them real-time access to liquidity pools, token prices, and market activity. - This deep integration ensures precise and timely execution of tasks like token purchases, profit analysis, and cross-chain swaps. 4๏ธโƒฃ Natural Language Processing (NLP) - NLP models power the botโ€™s ability to understand your tweets and translate them into complex trading actions. - This ensures an easy-to-use, human-friendly interface that connects your social interactions to advanced trading strategies. 5๏ธโƒฃ Cloud-Hosted Infrastructure - The AI operates on scalable cloud infrastructure, ensuring 24/7 uptime, fast processing, and the ability to handle large volumes of trades simultaneously.

๐•‹๐•Ž๐”ผ๐”ผ๐•‹

20,357 views โ€ข 1 year ago

Why does AI need decentralized computing? I know most AI people aren't paying attention to what's going on in the blockchain-based world, but there's a lot happening there. And same for those in the blockchain-based world (crypto and Web 3). This will get you up to date on how the two are moving toward each other. ๐Ÿš€ Just dropped a mind-bending convo w/ David A. Johnston (dApp creator, Ethereum OG) on decentralized AI & the agentic future. What you'll learn by watching: 1/ Why smart agents + wallets = AI with real agency (paying bills, investing for youโ€”AGI as "Artificially Generated Income" ๐Ÿคฏ) 2/ How Morpheus democratizes top LLMs: Run Llama/Mistral privately on your phone via crypto incentives. Cut costs 50% vs. OpenAI. No data leaks! 3/ HTTP 402 revival: Instant micropayments kill subsโ€”agents buy soap for your robot housekeeper in an "Everything as a Service" world. 4/ Privacy armor: From FHE encryption vs. quantum hacks to ERC-8004 for trustless agent reps. Own your digital twin before BCIs wire your brain. 5/ The AI-Web3 mashup: Bots trading like Wall St, but for your life. From meal plans to factory floorsโ€”700M wallets now, billions soon. This is the blueprint for owning your intelligence in 2025+. Oh, and I have the most complete lists of both communities here on X.
1:07:27

Why does AI need decentralized computing? I know most AI people aren't paying attention to what's going on in the blockchain-based world, but there's a lot happening there. And same for those in the blockchain-based world (crypto and Web 3). This will get you up to date on how the two are moving toward each other. ๐Ÿš€ Just dropped a mind-bending convo w/ David A. Johnston (dApp creator, Ethereum OG) on decentralized AI & the agentic future. What you'll learn by watching: 1/ Why smart agents + wallets = AI with real agency (paying bills, investing for youโ€”AGI as "Artificially Generated Income" ๐Ÿคฏ) 2/ How Morpheus democratizes top LLMs: Run Llama/Mistral privately on your phone via crypto incentives. Cut costs 50% vs. OpenAI. No data leaks! 3/ HTTP 402 revival: Instant micropayments kill subsโ€”agents buy soap for your robot housekeeper in an "Everything as a Service" world. 4/ Privacy armor: From FHE encryption vs. quantum hacks to ERC-8004 for trustless agent reps. Own your digital twin before BCIs wire your brain. 5/ The AI-Web3 mashup: Bots trading like Wall St, but for your life. From meal plans to factory floorsโ€”700M wallets now, billions soon. This is the blueprint for owning your intelligence in 2025+. Oh, and I have the most complete lists of both communities here on X.

Robert Scoble

59,998 views โ€ข 8 months ago

Here we go again ๐Ÿš€! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. โ‰๏ธ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilioโ€™s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted alliesโ€”always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon ๐Ÿ”œ.
1:52

Here we go again ๐Ÿš€! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. โ‰๏ธ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilioโ€™s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted alliesโ€”always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon ๐Ÿ”œ.

Pasha Rayan

53,950 views โ€ข 1 year ago

This solo developer just built software that rewrites its own code. No team. No funding. No corporate backing. Just one guy, a stack of terminals, and an AI agent that decided to evolve itself. His name is Peter Steinberger. He built OpenClaw. The fastest-growing GitHub repo in HISTORY. And in a 3 hour Lex Fridman interview, he dropped details and predictions that should terrify the entire tech industry... Peter built a personal AI agent that lives on your computer. Talks to you through WhatsApp. Has access to your files, calendar, everything. Cool but not groundbreaking... Yet. Then one day he sent it a voice message. Problem: he never built voice support. No instructions. No code for audio. Nothing. The agent checked the file header, identified the format, converted it with ffmpeg, realized Whisper wasn't installed, found an OpenAI API key on the system, used Curl to send the file for transcription, and replied with the answer. Nobody taught it any of that. ZERO instructions. It just figured it out. But that's not even the scary part. The agent literally modifies its OWN source code. When something doesn't work, it rewrites itself. When Peter debugs, he doesn't read code. He asks the agent to read its OWN source code, find the bug, and fix itself. Self-modifying software. Built by accident. Running in production. Used by hundreds of thousands of people. And BOTH Mark Zuckerberg and Sam Altman are personally trying to recruit him. Not through HR or recruiters. Zuckerberg spent a WEEK playing with OpenClaw. Sending Peter direct messages. "This is great." "This is shit." "Fix this." When they first connected Peter asked to hop on a call and Mark said "Give me 10 minutes, I need to finish coding." But Sam Altman's playing a different game. There's an NDA involved but Peter hinted the Cerebras deal translates into speeds that feel like "being handed Thor's hammer." His exact words: "I've been lured with tokens." Two of the most powerful people in tech fighting over one open-source developer who built everything from his apartment. Peter's response to both: "I don't do this for the money. I don't give a fuck." But the real reason this matters isn't Peter's career. It's what this means for every app on your phone. Peter's prediction: 80% of apps are about to die. Why do you need MyFitnessPal when your agent knows where you are, what you ate, how you slept, and adjusts your workout based on your stress levels? Why do you need a calendar app when you tell your agent "remind me about dinner tomorrow and invite my friends" and it handles the entry, the WhatsApp messages, and the reservation in one shot? Why do you need Uber Eats when your agent opens a browser, places the order, and tracks delivery without you touching a screen? Every app becomes a slow API whether the company likes it or not. Companies like Cloudflare are trying to block agent access. But all they're doing is making things slower. Not impossible. Peter said it perfectly: "You're not taking a feature away. You're just making it take longer." The app economy is on borrowed time. Not because the apps are bad... Because one personal agent that knows you and can interact with any service makes most of them pointless. In the future, we'll have one agent that handles everything. Software that rewrites itself. Agents that learn without instructions. Two CEOs fighting over a solo dev. And an app economy about to get wrecked. This isn't coming in 5 years. It's literally already here. Most people just haven't installed it yet.
2:12

This solo developer just built software that rewrites its own code. No team. No funding. No corporate backing. Just one guy, a stack of terminals, and an AI agent that decided to evolve itself. His name is Peter Steinberger. He built OpenClaw. The fastest-growing GitHub repo in HISTORY. And in a 3 hour Lex Fridman interview, he dropped details and predictions that should terrify the entire tech industry... Peter built a personal AI agent that lives on your computer. Talks to you through WhatsApp. Has access to your files, calendar, everything. Cool but not groundbreaking... Yet. Then one day he sent it a voice message. Problem: he never built voice support. No instructions. No code for audio. Nothing. The agent checked the file header, identified the format, converted it with ffmpeg, realized Whisper wasn't installed, found an OpenAI API key on the system, used Curl to send the file for transcription, and replied with the answer. Nobody taught it any of that. ZERO instructions. It just figured it out. But that's not even the scary part. The agent literally modifies its OWN source code. When something doesn't work, it rewrites itself. When Peter debugs, he doesn't read code. He asks the agent to read its OWN source code, find the bug, and fix itself. Self-modifying software. Built by accident. Running in production. Used by hundreds of thousands of people. And BOTH Mark Zuckerberg and Sam Altman are personally trying to recruit him. Not through HR or recruiters. Zuckerberg spent a WEEK playing with OpenClaw. Sending Peter direct messages. "This is great." "This is shit." "Fix this." When they first connected Peter asked to hop on a call and Mark said "Give me 10 minutes, I need to finish coding." But Sam Altman's playing a different game. There's an NDA involved but Peter hinted the Cerebras deal translates into speeds that feel like "being handed Thor's hammer." His exact words: "I've been lured with tokens." Two of the most powerful people in tech fighting over one open-source developer who built everything from his apartment. Peter's response to both: "I don't do this for the money. I don't give a fuck." But the real reason this matters isn't Peter's career. It's what this means for every app on your phone. Peter's prediction: 80% of apps are about to die. Why do you need MyFitnessPal when your agent knows where you are, what you ate, how you slept, and adjusts your workout based on your stress levels? Why do you need a calendar app when you tell your agent "remind me about dinner tomorrow and invite my friends" and it handles the entry, the WhatsApp messages, and the reservation in one shot? Why do you need Uber Eats when your agent opens a browser, places the order, and tracks delivery without you touching a screen? Every app becomes a slow API whether the company likes it or not. Companies like Cloudflare are trying to block agent access. But all they're doing is making things slower. Not impossible. Peter said it perfectly: "You're not taking a feature away. You're just making it take longer." The app economy is on borrowed time. Not because the apps are bad... Because one personal agent that knows you and can interact with any service makes most of them pointless. In the future, we'll have one agent that handles everything. Software that rewrites itself. Agents that learn without instructions. Two CEOs fighting over a solo dev. And an app economy about to get wrecked. This isn't coming in 5 years. It's literally already here. Most people just haven't installed it yet.

Ricardo

85,839 views โ€ข 5 months ago