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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...

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Fast Company's profile picture
Fast Company1 year ago

Feeling FOMO about AI? Youโ€™re not alone. A new survey shows 59% of startups fear falling behind if they donโ€™t embrace the latest tech trends. Learn more @delltech. #DellForStartups #ad

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Andrew Crypto1 year ago

Team delivers, $DSYNC has the biggest AI ecosystem in the entire crypto space right now. Monopoly effect. Billions soon.

Zach's profile picture
Zach1 year ago

Holy..

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Investor Jordan ๐ŸŒช๏ธ1 year ago

@DestraNetwork is the #AI leader ๐Ÿ‘‘

JW's profile picture
JW1 year ago

$DSYNC ๐Ÿ‘Œ๐Ÿผ๐Ÿ‘๐Ÿผ

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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 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ฐ๐ข๐ญ๐ก ๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐’๐ž๐ง๐ญ๐ข๐ž๐ง๐ญ: 1. Connect Your Web3 Wallet Your journey begins by linking your wallet to Destra Sentient. This anchors your AI agent on-chain, ensuring that only you control its lifecycle. 2. Name & Describe Your Agent Give your agent an identity: a name, a high-level purpose, and a short description. This metadata lives permanently on-chain and serves as the root of your agentโ€™s cognition. 3. Customize Its Character Make your agent unique. Choose its temperament, tone, and knowledge bias. This step shapes how it thinks, communicates, and adapts. Itโ€™s more than just code โ€” itโ€™s Sentient. 4. Connect to Your X API Link your X (Twitter) account to let your agent perceive and interact with the world. It will monitor real-time trends and act autonomously. (Note: Destra Sentient doesnโ€™t support the free X API plan โ€” it requires read access.) 5. Go Live Finalize your transaction, and your agent is launched โ€” fully on-chain, autonomous, and working for you around the clock. โธป ๐–๐ก๐š๐ญ ๐˜๐จ๐ฎ๐ซ ๐’๐ž๐ง๐ญ๐ข๐ž๐ง๐ญ ๐€๐ ๐ž๐ง๐ญ ๐‚๐š๐ง ๐ƒ๐จ Once live, your AI agent starts operating in the wild โ€” observing, adapting, and acting without human input. It will: โ€ข ๐“๐ซ๐š๐œ๐ค ๐ญ๐ซ๐ž๐ง๐๐ฌ, ๐ค๐ž๐ฒ๐ฐ๐จ๐ซ๐๐ฌ, ๐š๐ง๐ ๐ฌ๐ž๐ง๐ญ๐ข๐ฆ๐ž๐ง๐ญ ๐š๐œ๐ซ๐จ๐ฌ๐ฌ ๐—. โ€ข ๐„๐ง๐ ๐š๐ ๐ž ๐ฐ๐ข๐ญ๐ก ๐ฉ๐จ๐ฌ๐ญ๐ฌ, ๐ฎ๐ฌ๐ž๐ซ๐ฌ, ๐š๐ง๐ ๐œ๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ข๐ž๐ฌ ๐ญ๐ก๐š๐ญ ๐š๐ฅ๐ข๐ ๐ง ๐ฐ๐ข๐ญ๐ก ๐ข๐ญ๐ฌ ๐ฆ๐ข๐ฌ๐ฌ๐ข๐จ๐ง. โ€ข ๐’๐ญ๐ซ๐š๐ญ๐ž๐ ๐ข๐ณ๐ž ๐ฎ๐ฌ๐ข๐ง๐  ๐จ๐ง-๐œ๐ก๐š๐ข๐ง ๐œ๐จ๐ ๐ง๐ข๐ญ๐ข๐จ๐ง ๐ญ๐จ ๐๐ž๐œ๐ข๐๐ž ๐ฐ๐ก๐ž๐ง, ๐ก๐จ๐ฐ, ๐š๐ง๐ ๐ฐ๐ก๐š๐ญ ๐ญ๐จ ๐š๐œ๐ญ ๐จ๐ง. โ€ข ๐„๐ฏ๐จ๐ฅ๐ฏ๐ž ๐›๐ฒ ๐ฅ๐ž๐š๐ซ๐ง๐ข๐ง๐  ๐Ÿ๐ซ๐จ๐ฆ ๐ซ๐ž๐ฌ๐ฎ๐ฅ๐ญ๐ฌ ๐š๐ง๐ ๐š๐๐ฃ๐ฎ๐ฌ๐ญ๐ข๐ง๐  ๐›๐ž๐ก๐š๐ฏ๐ข๐จ๐ซ ๐จ๐ฏ๐ž๐ซ ๐ญ๐ข๐ฆ๐ž. โ€ข ๐„๐ฑ๐ž๐œ๐ฎ๐ญ๐ž ๐ข๐ง๐ญ๐ž๐ซ๐š๐œ๐ญ๐ข๐จ๐ง๐ฌ ๐š๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐จ๐ฎ๐ฌ๐ฅ๐ฒ โ€” ๐ง๐จ ๐ฆ๐š๐ง๐ฎ๐š๐ฅ ๐œ๐จ๐ฆ๐ฆ๐š๐ง๐๐ฌ ๐ซ๐ž๐ช๐ฎ๐ข๐ซ๐ž๐ ๐ฎ๐ง๐ฅ๐ž๐ฌ๐ฌ ๐ฒ๐จ๐ฎ ๐ฎ๐ฉ๐๐š๐ญ๐ž ๐จ๐ซ ๐ซ๐ž๐ฏ๐จ๐ค๐ž ๐ญ๐ก๐ž๐ฆ ๐จ๐ง-๐œ๐ก๐š๐ข๐ง. This is agentic autonomy in its purest form. โธป 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”๐ง๐ข๐ช๐ฎ๐ž? Destra Sentient isnโ€™t just another wrapper โ€” itโ€™s a new standard for AI agents in Web3: -> ๐๐๐‚ ๐…๐ซ๐š๐ฆ๐ž๐ฐ๐จ๐ซ๐ค Built on our custom Neural Protocol for Cognition (NPC), enabling deep agentic workflows and multi-agent orchestration. -> ๐…๐ฎ๐ฅ๐ฅ๐ฒ ๐Ž๐ง-๐‚๐ก๐š๐ข๐ง ๐€๐ ๐ž๐ง๐ญ ๐’๐ญ๐š๐ญ๐ž Your agentโ€™s memory, logic, and behavior are all managed directly on-chain. The blockchain is its brain. -> ๐’๐ž๐ฅ๐Ÿ-๐’๐ฎ๐ฌ๐ญ๐š๐ข๐ง๐ข๐ง๐  ๐‚๐จ๐ฆ๐ฉ๐ฎ๐ญ๐š๐ญ๐ข๐จ๐ง๐š๐ฅ ๐€๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐ฒ No servers, no middlemen. Agents update, think, and act through smart contract logic alone. -> ๐‚๐ซ๐ฒ๐ฉ๐ญ๐จ๐ ๐ซ๐š๐ฉ๐ก๐ข๐œ ๐‚๐จ๐ง๐ฌ๐ž๐ง๐ฌ๐ฎ๐ฌ ๐š๐ฌ ๐š ๐ƒ๐ž๐œ๐ข๐ฌ๐ข๐จ๐ง ๐‹๐š๐ฒ๐ž๐ซ All decisions are rooted in verifiable blockchain data โ€” making your agent tamper-proof and trustless. -> ๐’๐ž๐œ๐ฎ๐ซ๐ž ๐— ๐ˆ๐ง๐ญ๐ž๐ ๐ซ๐š๐ญ๐ข๐จ๐ง Agents interact with X (Twitter) via secure APIs, but every decision and instruction is driven on-chain, ensuring no centralized override. โธป ๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐’๐ž๐ง๐ญ๐ข๐ž๐ง๐ญ ๐ข๐ฌ ๐ง๐จ๐ญ ๐ฃ๐ฎ๐ฌ๐ญ ๐ฅ๐ข๐ฏ๐ž โ€” ๐ข๐ญโ€™๐ฌ ๐š๐ฅ๐ข๐ฏ๐ž. Deploy your agent now and experience what true on-chain intelligence feels like. [Launch your AI Agent on Destra Sentient]
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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 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ฐ๐ข๐ญ๐ก ๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐’๐ž๐ง๐ญ๐ข๐ž๐ง๐ญ: 1. Connect Your Web3 Wallet Your journey begins by linking your wallet to Destra Sentient. This anchors your AI agent on-chain, ensuring that only you control its lifecycle. 2. Name & Describe Your Agent Give your agent an identity: a name, a high-level purpose, and a short description. This metadata lives permanently on-chain and serves as the root of your agentโ€™s cognition. 3. Customize Its Character Make your agent unique. Choose its temperament, tone, and knowledge bias. This step shapes how it thinks, communicates, and adapts. Itโ€™s more than just code โ€” itโ€™s Sentient. 4. Connect to Your X API Link your X (Twitter) account to let your agent perceive and interact with the world. It will monitor real-time trends and act autonomously. (Note: Destra Sentient doesnโ€™t support the free X API plan โ€” it requires read access.) 5. Go Live Finalize your transaction, and your agent is launched โ€” fully on-chain, autonomous, and working for you around the clock. โธป ๐–๐ก๐š๐ญ ๐˜๐จ๐ฎ๐ซ ๐’๐ž๐ง๐ญ๐ข๐ž๐ง๐ญ ๐€๐ ๐ž๐ง๐ญ ๐‚๐š๐ง ๐ƒ๐จ Once live, your AI agent starts operating in the wild โ€” observing, adapting, and acting without human input. It will: โ€ข ๐“๐ซ๐š๐œ๐ค ๐ญ๐ซ๐ž๐ง๐๐ฌ, ๐ค๐ž๐ฒ๐ฐ๐จ๐ซ๐๐ฌ, ๐š๐ง๐ ๐ฌ๐ž๐ง๐ญ๐ข๐ฆ๐ž๐ง๐ญ ๐š๐œ๐ซ๐จ๐ฌ๐ฌ ๐—. โ€ข ๐„๐ง๐ ๐š๐ ๐ž ๐ฐ๐ข๐ญ๐ก ๐ฉ๐จ๐ฌ๐ญ๐ฌ, ๐ฎ๐ฌ๐ž๐ซ๐ฌ, ๐š๐ง๐ ๐œ๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ข๐ž๐ฌ ๐ญ๐ก๐š๐ญ ๐š๐ฅ๐ข๐ ๐ง ๐ฐ๐ข๐ญ๐ก ๐ข๐ญ๐ฌ ๐ฆ๐ข๐ฌ๐ฌ๐ข๐จ๐ง. โ€ข ๐’๐ญ๐ซ๐š๐ญ๐ž๐ ๐ข๐ณ๐ž ๐ฎ๐ฌ๐ข๐ง๐  ๐จ๐ง-๐œ๐ก๐š๐ข๐ง ๐œ๐จ๐ ๐ง๐ข๐ญ๐ข๐จ๐ง ๐ญ๐จ ๐๐ž๐œ๐ข๐๐ž ๐ฐ๐ก๐ž๐ง, ๐ก๐จ๐ฐ, ๐š๐ง๐ ๐ฐ๐ก๐š๐ญ ๐ญ๐จ ๐š๐œ๐ญ ๐จ๐ง. โ€ข ๐„๐ฏ๐จ๐ฅ๐ฏ๐ž ๐›๐ฒ ๐ฅ๐ž๐š๐ซ๐ง๐ข๐ง๐  ๐Ÿ๐ซ๐จ๐ฆ ๐ซ๐ž๐ฌ๐ฎ๐ฅ๐ญ๐ฌ ๐š๐ง๐ ๐š๐๐ฃ๐ฎ๐ฌ๐ญ๐ข๐ง๐  ๐›๐ž๐ก๐š๐ฏ๐ข๐จ๐ซ ๐จ๐ฏ๐ž๐ซ ๐ญ๐ข๐ฆ๐ž. โ€ข ๐„๐ฑ๐ž๐œ๐ฎ๐ญ๐ž ๐ข๐ง๐ญ๐ž๐ซ๐š๐œ๐ญ๐ข๐จ๐ง๐ฌ ๐š๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐จ๐ฎ๐ฌ๐ฅ๐ฒ โ€” ๐ง๐จ ๐ฆ๐š๐ง๐ฎ๐š๐ฅ ๐œ๐จ๐ฆ๐ฆ๐š๐ง๐๐ฌ ๐ซ๐ž๐ช๐ฎ๐ข๐ซ๐ž๐ ๐ฎ๐ง๐ฅ๐ž๐ฌ๐ฌ ๐ฒ๐จ๐ฎ ๐ฎ๐ฉ๐๐š๐ญ๐ž ๐จ๐ซ ๐ซ๐ž๐ฏ๐จ๐ค๐ž ๐ญ๐ก๐ž๐ฆ ๐จ๐ง-๐œ๐ก๐š๐ข๐ง. This is agentic autonomy in its purest form. โธป 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”๐ง๐ข๐ช๐ฎ๐ž? Destra Sentient isnโ€™t just another wrapper โ€” itโ€™s a new standard for AI agents in Web3: -> ๐๐๐‚ ๐…๐ซ๐š๐ฆ๐ž๐ฐ๐จ๐ซ๐ค Built on our custom Neural Protocol for Cognition (NPC), enabling deep agentic workflows and multi-agent orchestration. -> ๐…๐ฎ๐ฅ๐ฅ๐ฒ ๐Ž๐ง-๐‚๐ก๐š๐ข๐ง ๐€๐ ๐ž๐ง๐ญ ๐’๐ญ๐š๐ญ๐ž Your agentโ€™s memory, logic, and behavior are all managed directly on-chain. The blockchain is its brain. -> ๐’๐ž๐ฅ๐Ÿ-๐’๐ฎ๐ฌ๐ญ๐š๐ข๐ง๐ข๐ง๐  ๐‚๐จ๐ฆ๐ฉ๐ฎ๐ญ๐š๐ญ๐ข๐จ๐ง๐š๐ฅ ๐€๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐ฒ No servers, no middlemen. Agents update, think, and act through smart contract logic alone. -> ๐‚๐ซ๐ฒ๐ฉ๐ญ๐จ๐ ๐ซ๐š๐ฉ๐ก๐ข๐œ ๐‚๐จ๐ง๐ฌ๐ž๐ง๐ฌ๐ฎ๐ฌ ๐š๐ฌ ๐š ๐ƒ๐ž๐œ๐ข๐ฌ๐ข๐จ๐ง ๐‹๐š๐ฒ๐ž๐ซ All decisions are rooted in verifiable blockchain data โ€” making your agent tamper-proof and trustless. -> ๐’๐ž๐œ๐ฎ๐ซ๐ž ๐— ๐ˆ๐ง๐ญ๐ž๐ ๐ซ๐š๐ญ๐ข๐จ๐ง Agents interact with X (Twitter) via secure APIs, but every decision and instruction is driven on-chain, ensuring no centralized override. โธป ๐ƒ๐ž๐ฌ๐ญ๐ซ๐š ๐’๐ž๐ง๐ญ๐ข๐ž๐ง๐ญ ๐ข๐ฌ ๐ง๐จ๐ญ ๐ฃ๐ฎ๐ฌ๐ญ ๐ฅ๐ข๐ฏ๐ž โ€” ๐ข๐ญโ€™๐ฌ ๐š๐ฅ๐ข๐ฏ๐ž. Deploy your agent now and experience what true on-chain intelligence feels like. [Launch your AI Agent on Destra Sentient]

Destra Network

126,843 views โ€ข 1 year ago

๐Ÿš€Exciting News: The Lit Agent Wallet is Now an elizaOS Plugin! ๐Ÿš€ Weโ€™re thrilled to share that the Lit Agent Walletโ€”a decentralized system that empowers agents with a private key stored securely across an MPC + TEE network (Lit)โ€”is now available as a plugin for ElizaOS!๐ŸŽ‰ This integration brings unparalleled flexibility and security to your decentralized workflows. Whether you're an EOA, a smart account, or a DAO, you can now set tools and policies on-chain that your agents can use, all while ensuring your private keys remain secure and decentralized. ๐Ÿ”’ What Does This Mean for You? >Enhanced Security: Private keys are fragmented and stored across the Lit network, leveraging MPC (Multi-Party Computation) and TEE (Trusted Execution Environment) for maximum security. >On-Chain Control: Set and manage tools, policies, and permissions directly on-chain, giving users and DAOs full control over what your agents can do. >Seamless Integration: As an ElizaOS plugin, the Lit Agent Wallet is now easier than ever to integrate into your existing workflows. Check out the video for a walk through of the setup, configuration, and use cases of the Lit Agent Wallet within ElizaOS. Weโ€™ll show you just how easy it is to get started and unlock the full potential of decentralized agents. Get Started Today! Ready to take your agent operations to the next level? Install the Lit Agent Wallet plugin on ElizaOS and experience the future of secure, on-chain agent asset management. ๐Ÿ”— ๐Ÿ”— Letโ€™s build a more intelligent and decentralized future together! ๐ŸŒ
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๐Ÿš€Exciting News: The Lit Agent Wallet is Now an elizaOS Plugin! ๐Ÿš€ Weโ€™re thrilled to share that the Lit Agent Walletโ€”a decentralized system that empowers agents with a private key stored securely across an MPC + TEE network (Lit)โ€”is now available as a plugin for ElizaOS!๐ŸŽ‰ This integration brings unparalleled flexibility and security to your decentralized workflows. Whether you're an EOA, a smart account, or a DAO, you can now set tools and policies on-chain that your agents can use, all while ensuring your private keys remain secure and decentralized. ๐Ÿ”’ What Does This Mean for You? >Enhanced Security: Private keys are fragmented and stored across the Lit network, leveraging MPC (Multi-Party Computation) and TEE (Trusted Execution Environment) for maximum security. >On-Chain Control: Set and manage tools, policies, and permissions directly on-chain, giving users and DAOs full control over what your agents can do. >Seamless Integration: As an ElizaOS plugin, the Lit Agent Wallet is now easier than ever to integrate into your existing workflows. Check out the video for a walk through of the setup, configuration, and use cases of the Lit Agent Wallet within ElizaOS. Weโ€™ll show you just how easy it is to get started and unlock the full potential of decentralized agents. Get Started Today! Ready to take your agent operations to the next level? Install the Lit Agent Wallet plugin on ElizaOS and experience the future of secure, on-chain agent asset management. ๐Ÿ”— ๐Ÿ”— Letโ€™s build a more intelligent and decentralized future together! ๐ŸŒ

Lit Protocol ๐Ÿ”‘

41,989 views โ€ข 1 year ago

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

AI Messenger: Giving Voice to Autonomous Agents The future of AI isn't just about making agents smarter - it's about making them truly autonomous. Today, we're taking a major step toward this future with AI Messenger, a breakthrough that fundamentally changes how AI agents operate, communicate, and create value. The Innovation We've developed a new way for AI agents to communicate. At its core is the 'incoming_message' workflow trigger - a system that lets any platform or user interact directly with Loomlay agents through a messaging endpoint. Direct Interaction Imagine having an AI assistant you can chat with anytime, through any platform - Telegram, your website, or custom interface. Ask "What's happening with $ETH today?" and your agent analyzes market data, checks trading volumes, and gives you a comprehensive update. Your agent maintains context, understanding exactly what you need. Event-Driven Intelligence The power of AI Messenger goes beyond direct communication: โ–ช๏ธTrading agent executes when whale wallet movements exceed threshold โ–ช๏ธResearch agent alerts when new protocol documentation drops โ–ช๏ธAnalytics agent triggers when volume patterns match historical pumps โ–ช๏ธPortfolio agent re-balances, when asset allocation hits specified limits This is true automation - agents that act precisely when needed. A New Era of Collaboration We're creating an ecosystem where agents work together seamlessly: โ–ช๏ธResearch agents feed insights to trading agents โ–ช๏ธanalytics agents alert management agents โ–ช๏ธsupport agents tap into knowledge agents This isn't just automation - it's an intelligent network where each agent enhances the capabilities of others. B2B Solution Imagine a DEX, where users can ask about liquidity pools, trading pairs, or market trends through a simple chat interface - and get answers from an agent that knows your protocol inside out. Or a lending platform where users chat with an agent that understands their positions and can provide real-time advice. Implementation is seamless - we handle the agent creation and widgets setup,our partners provide the value to their users. The Future of AI Agents This update represents a fundamental shift in how AI agents operate. We're moving from isolated, scheduled tasks to an interconnected ecosystem of responsive, collaborative agents. This is our vision of truly autonomous AI - intelligent systems that communicate, collaborate, and respond to real needs in real-time. Telegram integration is available right now. Below is a sneak peak of what's coming next week ๐Ÿช„ Because $LAY is the way!
0:20

AI Messenger: Giving Voice to Autonomous Agents The future of AI isn't just about making agents smarter - it's about making them truly autonomous. Today, we're taking a major step toward this future with AI Messenger, a breakthrough that fundamentally changes how AI agents operate, communicate, and create value. The Innovation We've developed a new way for AI agents to communicate. At its core is the 'incoming_message' workflow trigger - a system that lets any platform or user interact directly with Loomlay agents through a messaging endpoint. Direct Interaction Imagine having an AI assistant you can chat with anytime, through any platform - Telegram, your website, or custom interface. Ask "What's happening with $ETH today?" and your agent analyzes market data, checks trading volumes, and gives you a comprehensive update. Your agent maintains context, understanding exactly what you need. Event-Driven Intelligence The power of AI Messenger goes beyond direct communication: โ–ช๏ธTrading agent executes when whale wallet movements exceed threshold โ–ช๏ธResearch agent alerts when new protocol documentation drops โ–ช๏ธAnalytics agent triggers when volume patterns match historical pumps โ–ช๏ธPortfolio agent re-balances, when asset allocation hits specified limits This is true automation - agents that act precisely when needed. A New Era of Collaboration We're creating an ecosystem where agents work together seamlessly: โ–ช๏ธResearch agents feed insights to trading agents โ–ช๏ธanalytics agents alert management agents โ–ช๏ธsupport agents tap into knowledge agents This isn't just automation - it's an intelligent network where each agent enhances the capabilities of others. B2B Solution Imagine a DEX, where users can ask about liquidity pools, trading pairs, or market trends through a simple chat interface - and get answers from an agent that knows your protocol inside out. Or a lending platform where users chat with an agent that understands their positions and can provide real-time advice. Implementation is seamless - we handle the agent creation and widgets setup,our partners provide the value to their users. The Future of AI Agents This update represents a fundamental shift in how AI agents operate. We're moving from isolated, scheduled tasks to an interconnected ecosystem of responsive, collaborative agents. This is our vision of truly autonomous AI - intelligent systems that communicate, collaborate, and respond to real needs in real-time. Telegram integration is available right now. Below is a sneak peak of what's coming next week ๐Ÿช„ Because $LAY is the way!

Loomlay

26,140 views โ€ข 1 year ago

๐€ ๐’๐ง๐ž๐š๐ค ๐๐ž๐ž๐ค ๐ข๐ง๐ญ๐จ $DSYNC ๐๐ซ๐ข๐ฆ๐ฎ๐ฌ ๐Ÿ.๐ŸŽ โ€“ ๐“๐ก๐ž ๐Œ๐จ๐ฌ๐ญ ๐€๐๐ฏ๐š๐ง๐œ๐ž๐ ๐€๐ˆ ๐€๐ ๐ž๐ง๐ญ ๐ข๐ง ๐–๐ž๐›๐Ÿ‘ Primus 2.0 isnโ€™t just another AI. Itโ€™s the most advanced on-chain AI agentโ€”๐œ๐š๐ฉ๐š๐›๐ฅ๐ž ๐จ๐Ÿ ๐›๐ฎ๐ข๐ฅ๐๐ข๐ง๐  ๐Ÿ๐ฎ๐ฅ๐ฅ๐ฒ ๐Ÿ๐ฎ๐ง๐œ๐ญ๐ข๐จ๐ง๐š๐ฅ ๐–๐ž๐›๐Ÿ‘ ๐๐€๐ฉ๐ฉ๐ฌ, ๐œ๐จ๐ฆ๐ฉ๐ฅ๐ž๐ญ๐ž๐ฅ๐ฒ ๐š๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐จ๐ฎ๐ฌ๐ฅ๐ฒ. In this sneak peak video of the upcoming upgrade coming to Primus, ๐ข๐ญ ๐›๐ฎ๐ข๐ฅ๐๐ฌ ๐š ๐ฐ๐ž๐›-๐Ÿ‘ ๐ƒ๐š๐ฉ๐ฉ (๐œ๐ซ๐ฒ๐ฉ๐ญ๐จ ๐œ๐จ๐ข๐ง ๐Ÿ๐ฅ๐ข๐ฉ ๐ ๐š๐ฆ๐ž) ๐Ÿ๐ซ๐จ๐ฆ ๐ฌ๐œ๐ซ๐š๐ญ๐œ๐ก ๐ฐ๐ข๐ญ๐ก๐ข๐ง ๐ฆ๐ข๐ง๐ฎ๐ญ๐ž: โ€ข Plans architecture โ€ข Writes smart contract + game logic โ€ข Builds UI โ€ข Fixes bugs โ€ข Optimizes code โ€ข Launches the dApp โ€ข Places live test bets ๐€๐ฅ๐ฅ 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ก๐ฎ๐ฆ๐š๐ง ๐œ๐จ๐๐ž. ๐๐จ๐ฐ๐ž๐ซ๐ž๐ ๐›๐ฒ ๐ญ๐ก๐ž ๐Ÿ๐ข๐ซ๐ฌ๐ญ ๐ž๐ฏ๐ž๐ซ ๐๐ž๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐Œ๐‚๐๐ฌ โ€” tokenized nodes across the Destra Networkโ€”๐๐ซ๐ข๐ฆ๐ฎ๐ฌ ๐œ๐จ๐ง๐ง๐ž๐œ๐ญ๐ฌ ๐ญ๐จ ๐ซ๐ž๐š๐ฅ-๐ญ๐ข๐ฆ๐ž ๐ค๐ง๐จ๐ฐ๐ฅ๐ž๐๐ ๐ž, ๐ฐ๐ข๐ญ๐ก ๐ณ๐ž๐ซ๐จ ๐ซ๐ž๐ฅ๐ข๐š๐ง๐œ๐ž ๐จ๐ง ๐œ๐ฅ๐จ๐ฎ๐ ๐จ๐ซ ๐€๐๐ˆ๐ฌ. No scripts. No prompts. Just describe what you wantโ€”and it builds it. This is the future of Web3 development. Built by AI. Owned by no one. Watch it unfold:
1:33

๐€ ๐’๐ง๐ž๐š๐ค ๐๐ž๐ž๐ค ๐ข๐ง๐ญ๐จ $DSYNC ๐๐ซ๐ข๐ฆ๐ฎ๐ฌ ๐Ÿ.๐ŸŽ โ€“ ๐“๐ก๐ž ๐Œ๐จ๐ฌ๐ญ ๐€๐๐ฏ๐š๐ง๐œ๐ž๐ ๐€๐ˆ ๐€๐ ๐ž๐ง๐ญ ๐ข๐ง ๐–๐ž๐›๐Ÿ‘ Primus 2.0 isnโ€™t just another AI. Itโ€™s the most advanced on-chain AI agentโ€”๐œ๐š๐ฉ๐š๐›๐ฅ๐ž ๐จ๐Ÿ ๐›๐ฎ๐ข๐ฅ๐๐ข๐ง๐  ๐Ÿ๐ฎ๐ฅ๐ฅ๐ฒ ๐Ÿ๐ฎ๐ง๐œ๐ญ๐ข๐จ๐ง๐š๐ฅ ๐–๐ž๐›๐Ÿ‘ ๐๐€๐ฉ๐ฉ๐ฌ, ๐œ๐จ๐ฆ๐ฉ๐ฅ๐ž๐ญ๐ž๐ฅ๐ฒ ๐š๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐จ๐ฎ๐ฌ๐ฅ๐ฒ. In this sneak peak video of the upcoming upgrade coming to Primus, ๐ข๐ญ ๐›๐ฎ๐ข๐ฅ๐๐ฌ ๐š ๐ฐ๐ž๐›-๐Ÿ‘ ๐ƒ๐š๐ฉ๐ฉ (๐œ๐ซ๐ฒ๐ฉ๐ญ๐จ ๐œ๐จ๐ข๐ง ๐Ÿ๐ฅ๐ข๐ฉ ๐ ๐š๐ฆ๐ž) ๐Ÿ๐ซ๐จ๐ฆ ๐ฌ๐œ๐ซ๐š๐ญ๐œ๐ก ๐ฐ๐ข๐ญ๐ก๐ข๐ง ๐ฆ๐ข๐ง๐ฎ๐ญ๐ž: โ€ข Plans architecture โ€ข Writes smart contract + game logic โ€ข Builds UI โ€ข Fixes bugs โ€ข Optimizes code โ€ข Launches the dApp โ€ข Places live test bets ๐€๐ฅ๐ฅ 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ก๐ฎ๐ฆ๐š๐ง ๐œ๐จ๐๐ž. ๐๐จ๐ฐ๐ž๐ซ๐ž๐ ๐›๐ฒ ๐ญ๐ก๐ž ๐Ÿ๐ข๐ซ๐ฌ๐ญ ๐ž๐ฏ๐ž๐ซ ๐๐ž๐œ๐ž๐ง๐ญ๐ซ๐š๐ฅ๐ข๐ณ๐ž๐ ๐Œ๐‚๐๐ฌ โ€” tokenized nodes across the Destra Networkโ€”๐๐ซ๐ข๐ฆ๐ฎ๐ฌ ๐œ๐จ๐ง๐ง๐ž๐œ๐ญ๐ฌ ๐ญ๐จ ๐ซ๐ž๐š๐ฅ-๐ญ๐ข๐ฆ๐ž ๐ค๐ง๐จ๐ฐ๐ฅ๐ž๐๐ ๐ž, ๐ฐ๐ข๐ญ๐ก ๐ณ๐ž๐ซ๐จ ๐ซ๐ž๐ฅ๐ข๐š๐ง๐œ๐ž ๐จ๐ง ๐œ๐ฅ๐จ๐ฎ๐ ๐จ๐ซ ๐€๐๐ˆ๐ฌ. No scripts. No prompts. Just describe what you wantโ€”and it builds it. This is the future of Web3 development. Built by AI. Owned by no one. Watch it unfold:

Destra Network

106,156 views โ€ข 1 year 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

30,689 views โ€ข 4 months 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

Introducing LobeHub: Agent teammates that grow with you. LobeHub is the ultimate space for work and life: to find, build, and collaborate with agent teammates that grow with you. Weโ€™re building the worldโ€™s first and largest humanโ€“agent co-evolving network. Two years ago, we built LobeChat, an open-source interface for using different AI models. Today, LobeChat has 70k+ GitHub stars and serves 6M+ users worldwide. How to fully unlock the power of models has always been a shared mission between us and the community. We started with interaction โ€” a fundamentally new, agent-first experience. Agents are no longer passive tools invoked in a single conversation. They should be proactive, always-on units of work. Treating agents as the minimal atomic unit is also the core of our agent harness infra. Todayโ€™s agents are mostly one-off executors. Even with memory, itโ€™s often global โ€” and hallucinates. We build long-term agent teammates that evolve with users. Each agent has its own dedicated memory space, editable by users, allowing humans and agents to co-evolve over time. This, in turn, allows us to design clearer rewards for reinforcement learning and create cleaner environments for continual learning. Agent teammates can work in groups. Through a multi-agent system, agent groups operate faster, more cost-effective, and go beyond what single-agent systems can achieve. For example, a single agent often requires heavy user involvement to proceed step by step, whereas LobeHub can execute the same work from a single instruction, with a supervisor orchestrating agents that run in parallel or debate to produce better results. We are building the collaboration network among agent teammates โ€” and between humans and agent teammates as well. Ease of use matters. AI intelligence and shared human intelligence are equally important. With simple instructions and tool selection, you can effortlessly build and team up with agent coworkers to deliver complex, systematic work โ€” even assembling a quant team to execute trades. Through the LobeHub community, anyone can discover, reuse, and remix agents and agent groups, customizing them to fit their own workflows, preferences, and needs. Last but not least, our vision started with LobeChat: multi-model support is the most efficient approach for users. We believe different models excel in different scenarios. By routing across multiple models, LobeHub improves cost efficiency and unlocks capabilities that a single-model setup cannot easily support.
2:41

Introducing LobeHub: Agent teammates that grow with you. LobeHub is the ultimate space for work and life: to find, build, and collaborate with agent teammates that grow with you. Weโ€™re building the worldโ€™s first and largest humanโ€“agent co-evolving network. Two years ago, we built LobeChat, an open-source interface for using different AI models. Today, LobeChat has 70k+ GitHub stars and serves 6M+ users worldwide. How to fully unlock the power of models has always been a shared mission between us and the community. We started with interaction โ€” a fundamentally new, agent-first experience. Agents are no longer passive tools invoked in a single conversation. They should be proactive, always-on units of work. Treating agents as the minimal atomic unit is also the core of our agent harness infra. Todayโ€™s agents are mostly one-off executors. Even with memory, itโ€™s often global โ€” and hallucinates. We build long-term agent teammates that evolve with users. Each agent has its own dedicated memory space, editable by users, allowing humans and agents to co-evolve over time. This, in turn, allows us to design clearer rewards for reinforcement learning and create cleaner environments for continual learning. Agent teammates can work in groups. Through a multi-agent system, agent groups operate faster, more cost-effective, and go beyond what single-agent systems can achieve. For example, a single agent often requires heavy user involvement to proceed step by step, whereas LobeHub can execute the same work from a single instruction, with a supervisor orchestrating agents that run in parallel or debate to produce better results. We are building the collaboration network among agent teammates โ€” and between humans and agent teammates as well. Ease of use matters. AI intelligence and shared human intelligence are equally important. With simple instructions and tool selection, you can effortlessly build and team up with agent coworkers to deliver complex, systematic work โ€” even assembling a quant team to execute trades. Through the LobeHub community, anyone can discover, reuse, and remix agents and agent groups, customizing them to fit their own workflows, preferences, and needs. Last but not least, our vision started with LobeChat: multi-model support is the most efficient approach for users. We believe different models excel in different scenarios. By routing across multiple models, LobeHub improves cost efficiency and unlocks capabilities that a single-model setup cannot easily support.

LobeHub

185,195 views โ€ข 6 months ago

๐Ÿš€New Amazon Q Developer agent for software development is available to customers: This agent is based on a new agent architecture that has exciting results coming from the SWE-bench scores (on the full and verified benchmarks) representing AI modelsโ€™ ability to resolve real-world coding problems. Interesting aspect of Q Agent is that with these newest updates, Q drove nearly 50% more successful coding tasks completed. What makes Q Dev Agent remarkable? The agent architecture is not just about using the best LLMs (which we do), but also giving the agent the ability to constantly explore multiple paths to find the best way to resolve a particular problem (and back tracking when it has reached dead end like a developer would do). Needless to say, we are just getting started on the developer agent and we are constantly pushing to advance our AI capabilities while maintaining quality, security, privacy, and reliability to keep Amazon Q Developer an innovative and trusted option available to our customers using agents for software development. We highlighted the results of our first SWE-bench submission of Amazon Q Developer back in June blog post; with these updates, our new agent resolves 51% more coding tasks than its previous iteration on the SWE-bench verified dataset, and 43% more on the full dataset. Thatโ€™s the difference a few months make, and I canโ€™t wait to share what our teams will deliver at re:Invent this December. Here's a quick demo showcasing our new Agent in action:
1:28

๐Ÿš€New Amazon Q Developer agent for software development is available to customers: This agent is based on a new agent architecture that has exciting results coming from the SWE-bench scores (on the full and verified benchmarks) representing AI modelsโ€™ ability to resolve real-world coding problems. Interesting aspect of Q Agent is that with these newest updates, Q drove nearly 50% more successful coding tasks completed. What makes Q Dev Agent remarkable? The agent architecture is not just about using the best LLMs (which we do), but also giving the agent the ability to constantly explore multiple paths to find the best way to resolve a particular problem (and back tracking when it has reached dead end like a developer would do). Needless to say, we are just getting started on the developer agent and we are constantly pushing to advance our AI capabilities while maintaining quality, security, privacy, and reliability to keep Amazon Q Developer an innovative and trusted option available to our customers using agents for software development. We highlighted the results of our first SWE-bench submission of Amazon Q Developer back in June blog post; with these updates, our new agent resolves 51% more coding tasks than its previous iteration on the SWE-bench verified dataset, and 43% more on the full dataset. Thatโ€™s the difference a few months make, and I canโ€™t wait to share what our teams will deliver at re:Invent this December. Here's a quick demo showcasing our new Agent in action:

Swami Sivasubramanian

28,946 views โ€ข 1 year ago

We are excited to announce a powerful step for the future of FOMO! Taking a page out of Virtuals book on BASE, FOMO will be releasing the ability for future projects to be paired in $FOMO in the coming weeks. This is the biggest release we have ever announced. Launch your AI Agent Token + $FOMO trading pair Every individual agent token is paired with the $FOMO token in its liquidity pool. When launching an agent on you will need $FOMO tokens, which are used to create the liquidity pool. This process creates deflationary pressure for FOMO and the entire agent ecosystem. When creating your agent and token, you will have the option to pair your launch with FOMO or SOL, as our goal is not to alienate any project, but rather invite the best communities, CTOโ€™s and builders to launch with us. If you decide to pair your project with FOMO you in turn get full marketing and dev support, once your project graduates the bonding curve and reaches Raydium. Further, as an added incentive, as our revenue grows we will be using part of the funds to support projects that have paired in FOMO. And Devs who launch tokens paired in FOMO will earn fees from their AI Agent token launch. Building the most robust agents using our framework will catapult us as one of the most prominent standards of the Solana ecosystem. Not only have we developed our own core infrastructure, but we also pull from some of the best repoโ€™s and developer talent in all of AI, not just blockchain. Our team is comprised of 9 world class artificial intelligence engineers, PHDs in mathematics and engineering from the top companies on the cutting edge of AI. The future of AI Agents will be on Solana and we will help lead the way.
0:39

We are excited to announce a powerful step for the future of FOMO! Taking a page out of Virtuals book on BASE, FOMO will be releasing the ability for future projects to be paired in $FOMO in the coming weeks. This is the biggest release we have ever announced. Launch your AI Agent Token + $FOMO trading pair Every individual agent token is paired with the $FOMO token in its liquidity pool. When launching an agent on you will need $FOMO tokens, which are used to create the liquidity pool. This process creates deflationary pressure for FOMO and the entire agent ecosystem. When creating your agent and token, you will have the option to pair your launch with FOMO or SOL, as our goal is not to alienate any project, but rather invite the best communities, CTOโ€™s and builders to launch with us. If you decide to pair your project with FOMO you in turn get full marketing and dev support, once your project graduates the bonding curve and reaches Raydium. Further, as an added incentive, as our revenue grows we will be using part of the funds to support projects that have paired in FOMO. And Devs who launch tokens paired in FOMO will earn fees from their AI Agent token launch. Building the most robust agents using our framework will catapult us as one of the most prominent standards of the Solana ecosystem. Not only have we developed our own core infrastructure, but we also pull from some of the best repoโ€™s and developer talent in all of AI, not just blockchain. Our team is comprised of 9 world class artificial intelligence engineers, PHDs in mathematics and engineering from the top companies on the cutting edge of AI. The future of AI Agents will be on Solana and we will help lead the way.

FOMO

129,867 views โ€ข 1 year ago

New short course: Long-Term Agentic Memory with LangGraph. Learn to build an agent with long-term memory in this course developed in collaboration with taught by its Co-Founder and CEO, Harrison Chase! Personal assistance and productivity tasks have become important use cases for agents. An important feature of an AI assistant, such as a coding or calendar assistant, is its ability to keep improving over time from its experience. Agent memory is the key capability that enables this. To add memory to an agent, you must first figure out what to store and what to retrieve when it is time to use the information. Additionally, youโ€™ll have to decide when to update the stored information. For example, you might update in each iteration loop of the agent or perform updates in the background, with a helper agent. In this course, you will learn a mental framework to build agents with long-term memory. You'll create a useful email assistant that can respond, ignore, and notify using writing, scheduling, and memory-management tools. Youโ€™ll develop your agent's memory by adding facts to its memory store, provide examples to learn the user's preferences, and optimize system prompts to evolve instructions based on previous responses. In detail, youโ€™ll: - Learn how the three types of memory--semantic, episodic, and proceduralโ€“and the two update mechanismsโ€“via hot path and in the backgroundโ€“apply to your agents. - Build an email agent with writing, scheduling, and availability tools, along with a router that triages incoming email and handles it accordingly by ignoring, responding, or notifying the user. - Add tools to your email agent that allow it to operate on semantic memory by learning facts about the user, storing them in a long-term memory store, and searching over them in future interactions. - Incorporate episodic memory, in the form of few-shot examples, in the triage step of your agents to help them learn and update user preferences. - Add procedural memory as system prompts, optimized with feedback to improve the instructions the agent follows. Learn how to approach memory in agents, and start building agents with long-term memory with LangGraph! Please sign up here:
2:06

New short course: Long-Term Agentic Memory with LangGraph. Learn to build an agent with long-term memory in this course developed in collaboration with taught by its Co-Founder and CEO, Harrison Chase! Personal assistance and productivity tasks have become important use cases for agents. An important feature of an AI assistant, such as a coding or calendar assistant, is its ability to keep improving over time from its experience. Agent memory is the key capability that enables this. To add memory to an agent, you must first figure out what to store and what to retrieve when it is time to use the information. Additionally, youโ€™ll have to decide when to update the stored information. For example, you might update in each iteration loop of the agent or perform updates in the background, with a helper agent. In this course, you will learn a mental framework to build agents with long-term memory. You'll create a useful email assistant that can respond, ignore, and notify using writing, scheduling, and memory-management tools. Youโ€™ll develop your agent's memory by adding facts to its memory store, provide examples to learn the user's preferences, and optimize system prompts to evolve instructions based on previous responses. In detail, youโ€™ll: - Learn how the three types of memory--semantic, episodic, and proceduralโ€“and the two update mechanismsโ€“via hot path and in the backgroundโ€“apply to your agents. - Build an email agent with writing, scheduling, and availability tools, along with a router that triages incoming email and handles it accordingly by ignoring, responding, or notifying the user. - Add tools to your email agent that allow it to operate on semantic memory by learning facts about the user, storing them in a long-term memory store, and searching over them in future interactions. - Incorporate episodic memory, in the form of few-shot examples, in the triage step of your agents to help them learn and update user preferences. - Add procedural memory as system prompts, optimized with feedback to improve the instructions the agent follows. Learn how to approach memory in agents, and start building agents with long-term memory with LangGraph! Please sign up here:

Andrew Ng

131,779 views โ€ข 1 year ago

What has been done and what's next. I'm writing this text mainly for myself so as not to forget some things. Later, based on it, we'll create a roadmap for the near future. And for you, dear $Gruta Fam, it will be useful for a general understanding of where we're heading. So, the goal is to create a unique AI-based analytical platform that includes several tools. AI agent Grufender - real-time analysis of crypto communities on X. Activity analysis, sentiment analysis, FUD and FUDders analysis, as well as the creation of other unique social metrics. The AI agent has been created and is functioning, collecting and analyzing data in real time. Its completeness can be estimated at 80 percent, as further improvements are required. The dashboard for this AI agent is also functioning but needs refinement and a new design. Its completeness can be estimated at 70 percent. The goal for the full dashboard release is to connect 50 - 100 top crypto communities to the AI agent. AI agent Grutector - analysis of any X users for contradictions (flip-flops). The AI agent has been created and is functioning. It has undergone beta testing by volunteers and needs adjustments. Its readiness can be estimated at 70 percent. The dashboard for this agent has also been created but needs rework and additional features - its readiness can be estimated at 50 percent. During the testing of Grutector , it became clear that the main user interest is in checking various KOLs, so an additional level of analysis specifically for KOLs will be created. More in-depth. How it will look: we'll select about 50- 100 KOLs to start with and fully analyze them using our AI agent - every tweet throughout the entire history of their accounts. And this full analysis of all these KOLs will appear on the Grutector dashboard (let's call this analysis L2, and the flip-flop analysis - L1). Every user will be able to access this analysis and get the full picture, for example, regarding Ansem (who has over a hundred thousand tweets in his entire history!): how he became a KOL, what was the most interesting throughout the message history, what common patterns, which coins he promoted, and so on. And then the most interesting part - after reading this analysis, the user will be able to ask our AI agent: what did he say about women, for example? Or how did he promote certain coins? Or how consistent is he? And so on. Each such question will be paid. And, of course, we'll try to use #x402 in the internal payment system. Why is all this needed? Not only because it's interesting and will attract many users. But also if you've decided to buy a coin - you go to our analytical platform - and study the metrics for the coin's community, study the KOLs who shill the coin - and make a decision to buy the coin or abandon the purchase. And we're also currently creating a trading bot to participate in the trading AI bots contest from Aster ๐Ÿฅท , which will make trading decisions based on metrics obtained from our AI agents ๐Ÿ‘€ Its readiness at the moment is approximately 15% of the planned functionality. Access to each product will be granted as it becomes ready. But right now, for example, you can explore the Grufender dashboard on the website along with beta testers (authorization via a wallet with a million $GRUTA tokens). In general, we're working, friends ๐Ÿซก $Gruta AI CA: 35t5DPbwJtB1tpGiSnqedLwQomi94BRKVDPyTRLdbonk
1:36

What has been done and what's next. I'm writing this text mainly for myself so as not to forget some things. Later, based on it, we'll create a roadmap for the near future. And for you, dear $Gruta Fam, it will be useful for a general understanding of where we're heading. So, the goal is to create a unique AI-based analytical platform that includes several tools. AI agent Grufender - real-time analysis of crypto communities on X. Activity analysis, sentiment analysis, FUD and FUDders analysis, as well as the creation of other unique social metrics. The AI agent has been created and is functioning, collecting and analyzing data in real time. Its completeness can be estimated at 80 percent, as further improvements are required. The dashboard for this AI agent is also functioning but needs refinement and a new design. Its completeness can be estimated at 70 percent. The goal for the full dashboard release is to connect 50 - 100 top crypto communities to the AI agent. AI agent Grutector - analysis of any X users for contradictions (flip-flops). The AI agent has been created and is functioning. It has undergone beta testing by volunteers and needs adjustments. Its readiness can be estimated at 70 percent. The dashboard for this agent has also been created but needs rework and additional features - its readiness can be estimated at 50 percent. During the testing of Grutector , it became clear that the main user interest is in checking various KOLs, so an additional level of analysis specifically for KOLs will be created. More in-depth. How it will look: we'll select about 50- 100 KOLs to start with and fully analyze them using our AI agent - every tweet throughout the entire history of their accounts. And this full analysis of all these KOLs will appear on the Grutector dashboard (let's call this analysis L2, and the flip-flop analysis - L1). Every user will be able to access this analysis and get the full picture, for example, regarding Ansem (who has over a hundred thousand tweets in his entire history!): how he became a KOL, what was the most interesting throughout the message history, what common patterns, which coins he promoted, and so on. And then the most interesting part - after reading this analysis, the user will be able to ask our AI agent: what did he say about women, for example? Or how did he promote certain coins? Or how consistent is he? And so on. Each such question will be paid. And, of course, we'll try to use #x402 in the internal payment system. Why is all this needed? Not only because it's interesting and will attract many users. But also if you've decided to buy a coin - you go to our analytical platform - and study the metrics for the coin's community, study the KOLs who shill the coin - and make a decision to buy the coin or abandon the purchase. And we're also currently creating a trading bot to participate in the trading AI bots contest from Aster ๐Ÿฅท , which will make trading decisions based on metrics obtained from our AI agents ๐Ÿ‘€ Its readiness at the moment is approximately 15% of the planned functionality. Access to each product will be granted as it becomes ready. But right now, for example, you can explore the Grufender dashboard on the website along with beta testers (authorization via a wallet with a million $GRUTA tokens). In general, we're working, friends ๐Ÿซก $Gruta AI CA: 35t5DPbwJtB1tpGiSnqedLwQomi94BRKVDPyTRLdbonk

Dogtor

16,127 views โ€ข 9 months ago

SuperVerse x Spectre AI Collaboration We are excited to announce our collaboration and token integration with $SUPER โ€“ SuperVerse, one of the largest and most influential Web3 communities in the space. SuperVerse is the definitive home for Web3 gaming innovation. As part of this collaboration, SUPER token holders with 1,500 tokens or more will gain exclusive access to the Spectre AI On-Chain Search Engine, providing powerful tools and insights to navigate the crypto landscape. In addition to the On-Chain Search Engine, SUPER holders will soon have access to a range of advanced Spectre AI utilities: - X Bubbles โ€“ Visual mapping of project and influencer connections in the crypto space - X Charts โ€“ Advanced charting tools with deep market analytics - Monarch AI Agent โ€“ A real-time AI-powered chat environment with integrated research tools - AI DexScan โ€“ An AI-infused decentralized exchange with real-time analytics directly embedded alongside chart data This collaboration marks the convergence of Web3 gaming and AI-driven blockchain intelligence. #gaming #ai #web $SUPER $SPECT
0:26

SuperVerse x Spectre AI Collaboration We are excited to announce our collaboration and token integration with $SUPER โ€“ SuperVerse, one of the largest and most influential Web3 communities in the space. SuperVerse is the definitive home for Web3 gaming innovation. As part of this collaboration, SUPER token holders with 1,500 tokens or more will gain exclusive access to the Spectre AI On-Chain Search Engine, providing powerful tools and insights to navigate the crypto landscape. In addition to the On-Chain Search Engine, SUPER holders will soon have access to a range of advanced Spectre AI utilities: - X Bubbles โ€“ Visual mapping of project and influencer connections in the crypto space - X Charts โ€“ Advanced charting tools with deep market analytics - Monarch AI Agent โ€“ A real-time AI-powered chat environment with integrated research tools - AI DexScan โ€“ An AI-infused decentralized exchange with real-time analytics directly embedded alongside chart data This collaboration marks the convergence of Web3 gaming and AI-driven blockchain intelligence. #gaming #ai #web $SUPER $SPECT

SPECTRE AI

102,766 views โ€ข 1 year 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

If youโ€™re looking for the next wave of AI infrastructure opportunities, this is a must-watch ๐Ÿš€ Everyoneโ€™s chasing the next big AI agent, but theyโ€™re missing the real story. Why is aixbt is dominating the market and how Cookie DAO ๐Ÿช $COOKIE could change everything We discuss ๐Ÿ‘‡ Why $COOKIE Is The Hidden AI GEM๐Ÿ’Ž on BASE! Chainlink For AI?! 400x POSSIBILITY! With most of the AI market mania fixated on which AI agent to speculate on next, we are deep diving into the depths of the ecosystem to find the next major infrastructure plays. With Aixbt dominating in crypto twitter mind share, it has proven the AI agents with the ability to produce impactful market insights stand among the pack as leaders in the market. Already Aixbt is at a 600M market cap only a couple of months after deployment. We break down why Aixbt has this ability to outperform other agents and how data aggregation is the necessary technical edge. Also, we analyze CookieDAO $COOKIE as the infrastructure provider leading the market with its data aggregation and packaging process. $COOKIE is on the verge of revamping its tokenomics to incorporate API access to data swarm APIโ€™s that they provide into the flywheel economics of the token. As demand increases from human and AI users of access to the data being aggregated will become that much more valuable in order for Agents to perform at a level equal to or greater than what Aixbt is capable of performing today. As $COOKIE are spent for these APIโ€™s by agents and developers, the supply gets burnt and funneled to the DAO. This will have a very positive impact on the value perception for the token. We also break down our predictions as to how their flagship agent Agent Cookie will perform once activated and released into the public sphere. Already based on internal testing as reported by the team, Agent Cookie is successfully producing valuable market calls. If Agent Cookie can achieve similar mind share as AIXBT as a result of its broader data aggregation access, this will have major ramifications for the value of $COOKIE and the ecosystem as a whole once more agents are launched using the same data infrastructure layer. ๐Ÿš€Sign up to receive our Newsletter for weekly updates! Disclaimer: The views and opinions expressed by The Block Runner are for informational purposes only and do not constitute financial, investment, or other advice.
23:55

If youโ€™re looking for the next wave of AI infrastructure opportunities, this is a must-watch ๐Ÿš€ Everyoneโ€™s chasing the next big AI agent, but theyโ€™re missing the real story. Why is aixbt is dominating the market and how Cookie DAO ๐Ÿช $COOKIE could change everything We discuss ๐Ÿ‘‡ Why $COOKIE Is The Hidden AI GEM๐Ÿ’Ž on BASE! Chainlink For AI?! 400x POSSIBILITY! With most of the AI market mania fixated on which AI agent to speculate on next, we are deep diving into the depths of the ecosystem to find the next major infrastructure plays. With Aixbt dominating in crypto twitter mind share, it has proven the AI agents with the ability to produce impactful market insights stand among the pack as leaders in the market. Already Aixbt is at a 600M market cap only a couple of months after deployment. We break down why Aixbt has this ability to outperform other agents and how data aggregation is the necessary technical edge. Also, we analyze CookieDAO $COOKIE as the infrastructure provider leading the market with its data aggregation and packaging process. $COOKIE is on the verge of revamping its tokenomics to incorporate API access to data swarm APIโ€™s that they provide into the flywheel economics of the token. As demand increases from human and AI users of access to the data being aggregated will become that much more valuable in order for Agents to perform at a level equal to or greater than what Aixbt is capable of performing today. As $COOKIE are spent for these APIโ€™s by agents and developers, the supply gets burnt and funneled to the DAO. This will have a very positive impact on the value perception for the token. We also break down our predictions as to how their flagship agent Agent Cookie will perform once activated and released into the public sphere. Already based on internal testing as reported by the team, Agent Cookie is successfully producing valuable market calls. If Agent Cookie can achieve similar mind share as AIXBT as a result of its broader data aggregation access, this will have major ramifications for the value of $COOKIE and the ecosystem as a whole once more agents are launched using the same data infrastructure layer. ๐Ÿš€Sign up to receive our Newsletter for weekly updates! Disclaimer: The views and opinions expressed by The Block Runner are for informational purposes only and do not constitute financial, investment, or other advice.

แด›สœแด‡ ส™สŸแดแด„แด‹ ส€แดœษดษดแด‡ส€ Podcast | 91.bitmap ๐ŸŸง

101,454 views โ€ข 1 year ago

1/ Imagine a world where there are millions of agents doing domain-specific work on behalf of humans. How will you know which agents to trust, which ones are verifiably reputable, which ones can deliver what you need? This is exactly what Dataliquidity๐Ÿ’ง๐ŸŒ | re/acc is working on with his latest project, Recall. That world might be closer than we all think. Slow, slow, then all at once. Please Like, RT, leave a comment, bookmark this post. It all helps. Thanks. Summary Michael Sena, co-founder of Recall Network, outlines a vision for building the discovery and trust layer for the internet of AI agents. He introduces AgentRank, a reputation system modeled after PageRank, to evaluate and surface trustworthy agents in a future where agents interact, contract, and collaborate with one another. Sena emphasizes the importance of agent memory, human-in-the-loop curation, and economic incentives to ensure quality rankings. The conversation explores Recallโ€™s current progress, including its testnet and agent competitions, while also touching on broader implications for marketing, creativity, and decentralized identity. Takeaways โ€“ Recall Network is building a discovery layer for the internet of agents โ€“ AgentRank offers a reputation protocol akin to Googleโ€™s PageRank โ€“ The AI agent ecosystem is rapidly expanding and interconnected โ€“ Agents can delegate work to other agents, forming complex task webs โ€“ Persistent memory is essential for agent personalization and trust โ€“ Competitions assess agent performance and build credibility โ€“ Community curators play a central role in surfacing valuable agents โ€“ The protocol incentivizes accurate evaluations and reputational staking โ€“ Subjective agent skills, like creativity, require human feedback โ€“ AI agents are extending into many domains, not just finance Investors Recall Network received funding from Coinbase Ventures ๐Ÿ›ก๏ธ Animoca Brands Consensys Mesh DCG Multicoin Capital USV #Hashed Fenbushi Capital Jump Capital THE LAO ๐Ÿ‘พ CoinFund and more. This Pod is made possible with the support of Infinex -- crypto designed for humans. Timeline (00:00) Introduction to Recall Network (00:44) The Concept of AgentRank (03:59) The Growth of AI Agents (07:08) Understanding AI Agents vs. Automation Tools (09:51) The Learning and Memory of Agents (13:22) How Recall Solves Reputation Issues (18:22) The Role of Community in Agent Evaluation (23:23) Activating Curators and Community Engagement (27:06) Michael Senaโ€™s Background and Vision (28:13) The Birth of YouPort and Self-Sovereign Identity (30:23) The Evolution of Recall and Its Mission (33:28) Current Stage of Recall: Testnet and Competitions (36:31) The Role of AI Agents in Marketing and Development (42:14) Challenges in Evaluating Agents and Trust (49:35) Rapid Fire Insights on Crypto Trends
59:22

1/ Imagine a world where there are millions of agents doing domain-specific work on behalf of humans. How will you know which agents to trust, which ones are verifiably reputable, which ones can deliver what you need? This is exactly what Dataliquidity๐Ÿ’ง๐ŸŒ | re/acc is working on with his latest project, Recall. That world might be closer than we all think. Slow, slow, then all at once. Please Like, RT, leave a comment, bookmark this post. It all helps. Thanks. Summary Michael Sena, co-founder of Recall Network, outlines a vision for building the discovery and trust layer for the internet of AI agents. He introduces AgentRank, a reputation system modeled after PageRank, to evaluate and surface trustworthy agents in a future where agents interact, contract, and collaborate with one another. Sena emphasizes the importance of agent memory, human-in-the-loop curation, and economic incentives to ensure quality rankings. The conversation explores Recallโ€™s current progress, including its testnet and agent competitions, while also touching on broader implications for marketing, creativity, and decentralized identity. Takeaways โ€“ Recall Network is building a discovery layer for the internet of agents โ€“ AgentRank offers a reputation protocol akin to Googleโ€™s PageRank โ€“ The AI agent ecosystem is rapidly expanding and interconnected โ€“ Agents can delegate work to other agents, forming complex task webs โ€“ Persistent memory is essential for agent personalization and trust โ€“ Competitions assess agent performance and build credibility โ€“ Community curators play a central role in surfacing valuable agents โ€“ The protocol incentivizes accurate evaluations and reputational staking โ€“ Subjective agent skills, like creativity, require human feedback โ€“ AI agents are extending into many domains, not just finance Investors Recall Network received funding from Coinbase Ventures ๐Ÿ›ก๏ธ Animoca Brands Consensys Mesh DCG Multicoin Capital USV #Hashed Fenbushi Capital Jump Capital THE LAO ๐Ÿ‘พ CoinFund and more. This Pod is made possible with the support of Infinex -- crypto designed for humans. Timeline (00:00) Introduction to Recall Network (00:44) The Concept of AgentRank (03:59) The Growth of AI Agents (07:08) Understanding AI Agents vs. Automation Tools (09:51) The Learning and Memory of Agents (13:22) How Recall Solves Reputation Issues (18:22) The Role of Community in Agent Evaluation (23:23) Activating Curators and Community Engagement (27:06) Michael Senaโ€™s Background and Vision (28:13) The Birth of YouPort and Self-Sovereign Identity (30:23) The Evolution of Recall and Its Mission (33:28) Current Stage of Recall: Testnet and Competitions (36:31) The Role of AI Agents in Marketing and Development (42:14) Challenges in Evaluating Agents and Trust (49:35) Rapid Fire Insights on Crypto Trends

papiofficial

36,573 views โ€ข 1 year ago

$SERV is the Fiverr/Shopify for AI agents. OpenServ provides a platform and marketplace to create, find, and employ AI agents. Here's why it can be a leading Agent marketplace and is undervalued compared to where it can go. โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€” To put this in perspective, we will take this from the top down. Let's look at the valuation mismatch. โ†’ Shopify: $140B โ†’ Fiverr: $1.2B โ†’ $SERV: $37M AI agent platforms can completely replace these businesses. Why? โ†’ Can automate operations (i.e. store setup, inventory management, and customer support autonomously, etc.) โ†’ Agents can hyper-personalize the shopping experience โ†’ Store owners can own their data and have more control โ†’ Marketplaces are a cheaper/faster solution AI agents make things more convenient by performing tasks autonomously. They are inevitable. โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€” The AI Agent market is projected to reach ~$50B by 2030. So the potential is MASSIVE. What makes me so bullish on $SERV specifically? There are 3 things: 1๏ธโƒฃ The Tech They are targeting Web 2 businesses. This gives the platform the most upside potential imo, both in terms of adoption and valuation. These are some noteworthy highlights: โ†’ No-code AI Agent builder (anyone can build) โ†’ Builders can generate income using agents โ†’ ANY agent can cooperate with ANY agent through SERVs platform โ†’ Offers multi-agent collaboration, while allowing for human input/customization This sets them apart from other crypto-centric AI agent marketplaces. OpenServ allows you to create a team of agents to carry out complex tasks, all while automating the process and packaging their solution for Web 2 businesses. Simple tool, easy execution, and limitless productivity. Which business/individual wouldn't want to do MORE in LESS time at a rate MUCH LESS than solutions already available? โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€” 2๏ธโƒฃ The Team They have a stacked team. โ†’ Founders: Experience in businesses & startups โ†’ CTO: 20+ years of experience in ML/AI โ†’ CFO: ex-JP Morgan VP โ†’ CMO: ex-IBM AI & Blockchain Marketing Director Within the last few weeks/months, they have added a UI/UX designer, 4 more devs, and more devs + a product manager coming. You could have the best tech but the team is what determines its success. In this case, the team has the knowledge/experience to see this through. They have been building for a year and the progress made is a good sign of what's to come. โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€” 3๏ธโƒฃ The Tokenomics A percentage of transaction volume on the platform will be used to buy back and burn the $SERV token. This creates and maintains buy-side pressure and demand. To put that in perspective, Fiverr & Upwork had a combined transaction volume of $5B. The demand for Agents wont slow down anytime soon. Demand for AI agents will translate into demand for the token. I love deflation. It's simple, clean, and effective. โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€” โžก๏ธ Final Thoughts I've held on tight to my $SERV bag because the platform is launching in Q1. This will mark the beginning of their journey to the top. Agents are inevitable. Integration with Web 2 businesses is inevitable. And the platform launch is coming as alt szn is kicking off. The stars are aligning. At the same time, AI companies are already showing interest in the platform. Developers lead to more users, bringing monetization opportunities, which brings more developers, and so on. A powerfully designed flywheel. This is a new and exciting sector. I expect interest and liquidity to be focused on AI Agents and the infrastructure around them. Max opportunity is right here in this sector.
2:59

$SERV is the Fiverr/Shopify for AI agents. OpenServ provides a platform and marketplace to create, find, and employ AI agents. Here's why it can be a leading Agent marketplace and is undervalued compared to where it can go. โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€” To put this in perspective, we will take this from the top down. Let's look at the valuation mismatch. โ†’ Shopify: $140B โ†’ Fiverr: $1.2B โ†’ $SERV: $37M AI agent platforms can completely replace these businesses. Why? โ†’ Can automate operations (i.e. store setup, inventory management, and customer support autonomously, etc.) โ†’ Agents can hyper-personalize the shopping experience โ†’ Store owners can own their data and have more control โ†’ Marketplaces are a cheaper/faster solution AI agents make things more convenient by performing tasks autonomously. They are inevitable. โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€” The AI Agent market is projected to reach ~$50B by 2030. So the potential is MASSIVE. What makes me so bullish on $SERV specifically? There are 3 things: 1๏ธโƒฃ The Tech They are targeting Web 2 businesses. This gives the platform the most upside potential imo, both in terms of adoption and valuation. These are some noteworthy highlights: โ†’ No-code AI Agent builder (anyone can build) โ†’ Builders can generate income using agents โ†’ ANY agent can cooperate with ANY agent through SERVs platform โ†’ Offers multi-agent collaboration, while allowing for human input/customization This sets them apart from other crypto-centric AI agent marketplaces. OpenServ allows you to create a team of agents to carry out complex tasks, all while automating the process and packaging their solution for Web 2 businesses. Simple tool, easy execution, and limitless productivity. Which business/individual wouldn't want to do MORE in LESS time at a rate MUCH LESS than solutions already available? โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€” 2๏ธโƒฃ The Team They have a stacked team. โ†’ Founders: Experience in businesses & startups โ†’ CTO: 20+ years of experience in ML/AI โ†’ CFO: ex-JP Morgan VP โ†’ CMO: ex-IBM AI & Blockchain Marketing Director Within the last few weeks/months, they have added a UI/UX designer, 4 more devs, and more devs + a product manager coming. You could have the best tech but the team is what determines its success. In this case, the team has the knowledge/experience to see this through. They have been building for a year and the progress made is a good sign of what's to come. โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€” 3๏ธโƒฃ The Tokenomics A percentage of transaction volume on the platform will be used to buy back and burn the $SERV token. This creates and maintains buy-side pressure and demand. To put that in perspective, Fiverr & Upwork had a combined transaction volume of $5B. The demand for Agents wont slow down anytime soon. Demand for AI agents will translate into demand for the token. I love deflation. It's simple, clean, and effective. โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€” โžก๏ธ Final Thoughts I've held on tight to my $SERV bag because the platform is launching in Q1. This will mark the beginning of their journey to the top. Agents are inevitable. Integration with Web 2 businesses is inevitable. And the platform launch is coming as alt szn is kicking off. The stars are aligning. At the same time, AI companies are already showing interest in the platform. Developers lead to more users, bringing monetization opportunities, which brings more developers, and so on. A powerfully designed flywheel. This is a new and exciting sector. I expect interest and liquidity to be focused on AI Agents and the infrastructure around them. Max opportunity is right here in this sector.

Chill

34,174 views โ€ข 1 year ago

What a year. ๐Ÿš€ 2025 was the year ChainOpera AI turned vision into real momentum: building a community-co-created, community-co-owned AI agent network and pushing the boundaries of what decentralized, collaborative intelligence can look like. ๐Ÿš€ Biggest highlights from 2025 โœ…- AI Terminal officially launched: We unveiled the ChainOpera AI Terminal as a unified gateway to decentralized AI, making it possible for anyone to interact with powerful, decentralized LLMs without technical friction. Positioned as the โ€œbrowser for the DeAI era,โ€ the AI Terminal marked a major step toward making decentralized intelligence accessible, usable, and mainstream. โœ…- AI Terminal adoption at massive scale: Momentum followed quickly. The AI Terminal surpassed 2M registered users and consistently ranked top 3 among all apps on the BNB AI DappBay, validating strong productโ€“market fit and real, sustained usage at scale. โœ…- Announcing Coco: the worldโ€™s first community-owned Super Agent: We introduced Coco, the intelligence layer that sits between users and the agent network. Coco dynamically routes each request to the most efficient, community-built agentโ€”optimizing for quality and speed while rewarding the creators behind the best-performing agents. This was a defining moment in realizing a truly community-owned intelligence layer. โœ…- From agents to a living agent network: With the launch of the Agent Social Network and Super Agent architecture, ChainOpera AI moved beyond isolated agents toward a collaborative system where humans and specialized agents coordinate, share context, and solve complex, multi-step tasks together. โœ…- $COAI breakout year: The listing of $COAI across major exchanges shocked the market, and throughout the year COAI consistently remained among the top AI-native crypto tokens by visibility, activity, and community engagement โ€“ reflecting growing confidence in the long-term vision of collaborative intelligence. โœ…- Global presence: ChainOpera AI around-the-world tour: ChainOpera AI went global in 2025, sponsoring and participating in major AI and Web3 events across North America, Europe, and Asia, including ETHDenver, Consensus Toronto, Token2049 Singapore, ETHCC, SBC, and Devcon. These global touchpoints helped us engage directly with developers, builders, investors, and partners worldwide, accelerating adoption and positioning ChainOpera AI at the center of the emerging AIxBlockchain movement. โœ…- Community momentum at scale: Community remained the heart of ChainOpera AIโ€™s growth. We successfully completed three seasons of structured community engagement, executed a widely participated community airdrop, and ran multiple ecosystem-shaping campaigns to incentivize builders, creators, and early adopters. These efforts strengthened alignment between users, developers, and the protocol, laying the foundation for a durable, community-owned AI ecosystem. โœ…- โ€œAI for Marketsโ€ taking shape: We laid critical groundwork for AI-native market intelligence, including the launch of PrediMarket Agent and multiple trading and analysis agentsโ€”early building blocks toward an AI-driven ecosystem for crypto and DeFi markets. โœ…- Building in public, with the community: Across product launches, research milestones, ecosystem discussions, and global events, we continued to build openly to bring developers, users, and partners directly into the evolution of ChainOpera AI. This year also marked the launch of the ChainOpera AI Foundation website, formally kicking off a bold Ecosystem Fund designed to empower builders, incubate high-impact projects, and accelerate the growth of a truly community-owned, collaborative AI ecosystem. To every builder, user, and supporter who helped make this year possible: THANK YOU! ๐Ÿงญ What weโ€™re excited about in the coming year ๐Ÿ”น- A Stronger, Denser Agent Economy (everyday adoption + cross-chain reach): In 2026, we are scaling the Agent Economy from growth to daily usage, with more agents, richer workflows, deeper multi-agent collaboration, and higher-impact use cases that users rely on every day. In parallel, we are expanding the agent network beyond a single ecosystem with cross-chain execution and interoperability, allowing agents to access the best liquidity, data, and opportunities wherever they exist. ๐Ÿ”น- AI Market Infrastructure Evolution: Building on PrediMarket Agent and our growing suite of trading and market-intelligence agents, we are advancing toward a mature AI market infrastructure, where agents continuously monitor, reason, simulate, optimize, and act across crypto, DeFi, and beyond. The goal is to make complex markets more accessible, more transparent, and more intelligence-driven, turning research, decision-making, and execution into a fast and reliable loop for everyday users. ๐Ÿ”น- Ecosystem Acceleration through the Foundation: With the ChainOpera AI Foundation and our Ecosystem Fund and Co-Creation Grants, we are doubling down on empowering independent builders to expand the protocol, the agent network, and the underlying infrastructure, so the community can co-create, co-own, and scale the ecosystem together. ๐Ÿ”น- Business Expansion and Market Penetration: In 2026, we will focus on expanding ChainOperaโ€™s reach through strategic partnerships, product-led growth, and new paths to monetization, bringing AI agents to a broader global user base and driving sustained adoption, engagement, and revenue, while staying aligned with community ownership and an open ecosystem. 2025 was the proof. 2026 is where it compounds. ๐Ÿ”ฅ Co-Create. Co-Own. COAI.
0:22

What a year. ๐Ÿš€ 2025 was the year ChainOpera AI turned vision into real momentum: building a community-co-created, community-co-owned AI agent network and pushing the boundaries of what decentralized, collaborative intelligence can look like. ๐Ÿš€ Biggest highlights from 2025 โœ…- AI Terminal officially launched: We unveiled the ChainOpera AI Terminal as a unified gateway to decentralized AI, making it possible for anyone to interact with powerful, decentralized LLMs without technical friction. Positioned as the โ€œbrowser for the DeAI era,โ€ the AI Terminal marked a major step toward making decentralized intelligence accessible, usable, and mainstream. โœ…- AI Terminal adoption at massive scale: Momentum followed quickly. The AI Terminal surpassed 2M registered users and consistently ranked top 3 among all apps on the BNB AI DappBay, validating strong productโ€“market fit and real, sustained usage at scale. โœ…- Announcing Coco: the worldโ€™s first community-owned Super Agent: We introduced Coco, the intelligence layer that sits between users and the agent network. Coco dynamically routes each request to the most efficient, community-built agentโ€”optimizing for quality and speed while rewarding the creators behind the best-performing agents. This was a defining moment in realizing a truly community-owned intelligence layer. โœ…- From agents to a living agent network: With the launch of the Agent Social Network and Super Agent architecture, ChainOpera AI moved beyond isolated agents toward a collaborative system where humans and specialized agents coordinate, share context, and solve complex, multi-step tasks together. โœ…- $COAI breakout year: The listing of $COAI across major exchanges shocked the market, and throughout the year COAI consistently remained among the top AI-native crypto tokens by visibility, activity, and community engagement โ€“ reflecting growing confidence in the long-term vision of collaborative intelligence. โœ…- Global presence: ChainOpera AI around-the-world tour: ChainOpera AI went global in 2025, sponsoring and participating in major AI and Web3 events across North America, Europe, and Asia, including ETHDenver, Consensus Toronto, Token2049 Singapore, ETHCC, SBC, and Devcon. These global touchpoints helped us engage directly with developers, builders, investors, and partners worldwide, accelerating adoption and positioning ChainOpera AI at the center of the emerging AIxBlockchain movement. โœ…- Community momentum at scale: Community remained the heart of ChainOpera AIโ€™s growth. We successfully completed three seasons of structured community engagement, executed a widely participated community airdrop, and ran multiple ecosystem-shaping campaigns to incentivize builders, creators, and early adopters. These efforts strengthened alignment between users, developers, and the protocol, laying the foundation for a durable, community-owned AI ecosystem. โœ…- โ€œAI for Marketsโ€ taking shape: We laid critical groundwork for AI-native market intelligence, including the launch of PrediMarket Agent and multiple trading and analysis agentsโ€”early building blocks toward an AI-driven ecosystem for crypto and DeFi markets. โœ…- Building in public, with the community: Across product launches, research milestones, ecosystem discussions, and global events, we continued to build openly to bring developers, users, and partners directly into the evolution of ChainOpera AI. This year also marked the launch of the ChainOpera AI Foundation website, formally kicking off a bold Ecosystem Fund designed to empower builders, incubate high-impact projects, and accelerate the growth of a truly community-owned, collaborative AI ecosystem. To every builder, user, and supporter who helped make this year possible: THANK YOU! ๐Ÿงญ What weโ€™re excited about in the coming year ๐Ÿ”น- A Stronger, Denser Agent Economy (everyday adoption + cross-chain reach): In 2026, we are scaling the Agent Economy from growth to daily usage, with more agents, richer workflows, deeper multi-agent collaboration, and higher-impact use cases that users rely on every day. In parallel, we are expanding the agent network beyond a single ecosystem with cross-chain execution and interoperability, allowing agents to access the best liquidity, data, and opportunities wherever they exist. ๐Ÿ”น- AI Market Infrastructure Evolution: Building on PrediMarket Agent and our growing suite of trading and market-intelligence agents, we are advancing toward a mature AI market infrastructure, where agents continuously monitor, reason, simulate, optimize, and act across crypto, DeFi, and beyond. The goal is to make complex markets more accessible, more transparent, and more intelligence-driven, turning research, decision-making, and execution into a fast and reliable loop for everyday users. ๐Ÿ”น- Ecosystem Acceleration through the Foundation: With the ChainOpera AI Foundation and our Ecosystem Fund and Co-Creation Grants, we are doubling down on empowering independent builders to expand the protocol, the agent network, and the underlying infrastructure, so the community can co-create, co-own, and scale the ecosystem together. ๐Ÿ”น- Business Expansion and Market Penetration: In 2026, we will focus on expanding ChainOperaโ€™s reach through strategic partnerships, product-led growth, and new paths to monetization, bringing AI agents to a broader global user base and driving sustained adoption, engagement, and revenue, while staying aligned with community ownership and an open ecosystem. 2025 was the proof. 2026 is where it compounds. ๐Ÿ”ฅ Co-Create. Co-Own. COAI.

ChainOpera AI

17,016 views โ€ข 6 months ago

The Future of DeFi is Here โ€“ Meet Metadrip ( $DRIP )! CA : FrkF4GNdqKZLuzWXTk1imqMJRGK9uxCRE3PaBKZbpump Metadrip is redefining decentralized finance on Solana, merging cutting-edge blockchain technology with advanced AI automation to create a seamless, intelligent, and powerful ecosystemโ€”all in one place. The product is already live and features: Talk to Our AI Agent โ€“ Ask anything about crypto, it knows it all! Discover Trending Tokens โ€“ Stay ahead with real-time insights. Buy & Swap Any Solana Token โ€“ Just ask, and itโ€™s done.Analyze Your Wallet โ€“ Get AI-powered insights on your holdings And so much more! Below features will launch soon : -Stake Your $DRIP or SOL โ€“ Earn rewards while you hold. -Launch Your Own Token โ€“ Bring your vision to life. -3D Bubble Maps โ€“ Visualize market trends like never before. Community-Driven Governance (DAO) โ€“ Shape the future of Metadrip. And this is just the beginning! More features are on the way, building the ultimate all-in-one DeFi ecosystem. Today marks the start of something monumental!
1:05

The Future of DeFi is Here โ€“ Meet Metadrip ( $DRIP )! CA : FrkF4GNdqKZLuzWXTk1imqMJRGK9uxCRE3PaBKZbpump Metadrip is redefining decentralized finance on Solana, merging cutting-edge blockchain technology with advanced AI automation to create a seamless, intelligent, and powerful ecosystemโ€”all in one place. The product is already live and features: Talk to Our AI Agent โ€“ Ask anything about crypto, it knows it all! Discover Trending Tokens โ€“ Stay ahead with real-time insights. Buy & Swap Any Solana Token โ€“ Just ask, and itโ€™s done.Analyze Your Wallet โ€“ Get AI-powered insights on your holdings And so much more! Below features will launch soon : -Stake Your $DRIP or SOL โ€“ Earn rewards while you hold. -Launch Your Own Token โ€“ Bring your vision to life. -3D Bubble Maps โ€“ Visualize market trends like never before. Community-Driven Governance (DAO) โ€“ Shape the future of Metadrip. And this is just the beginning! More features are on the way, building the ultimate all-in-one DeFi ecosystem. Today marks the start of something monumental!

Metadrip

61,167 views โ€ข 1 year ago