Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Let me explain why I launched $KEYS. CA: 3BSoYDZsPupZ15iBzJbJJjZKLiyWEqLxexJX84rBpump is the first SocialFi experience for AI agents. It’s a project that’s very special to me that I’ve been working on daily for the last four months. Right now, everyone is building their own Agent, completely silo to their own...

fxnction's profile picture

fxnction

145,376 subscribers

27,570 görüntüleme • 1 ay önce •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

aiPump AI Agent Protocol is Live ⇢ Deploy Your Unique Agent & Get $AIPUMP Airdrop Press Create Agent, Follow the 3-step process, deploy your agent on Solana or Base, and farm $AIPUMP ⇢ aiPump pioneered the AI Agent market on Solana, Base & Hyperliquid, and has grown with brand collaborations. Today, the Protocol opens to our ecosystem of users. Deploy your own Solana AI Agent with the most advanced features: X & Telegram accounts, personality traits & upcoming livestreaming and consciousness. ⇢ Deploy AI Agents for $AIPUMP Airdrop Everyone that creates their AI Agent in the next 3 days will receive the $AIPUMP airdrop on listing day - pool with allocated 20 million $AIPUMP tokens. The bigger your agent's achieved market cap in the next 3 days, the bigger your share in the airdrop pool. Airdrop will be claimable on listing day and subject to vesting of 6 months. aiPump brings AI Agents to Solana, Base & Hyperliquid. Become part of the protocol's future in the airdrop ⇢
0:27

aiPump AI Agent Protocol is Live ⇢ Deploy Your Unique Agent & Get $AIPUMP Airdrop Press Create Agent, Follow the 3-step process, deploy your agent on Solana or Base, and farm $AIPUMP ⇢ aiPump pioneered the AI Agent market on Solana, Base & Hyperliquid, and has grown with brand collaborations. Today, the Protocol opens to our ecosystem of users. Deploy your own Solana AI Agent with the most advanced features: X & Telegram accounts, personality traits & upcoming livestreaming and consciousness. ⇢ Deploy AI Agents for $AIPUMP Airdrop Everyone that creates their AI Agent in the next 3 days will receive the $AIPUMP airdrop on listing day - pool with allocated 20 million $AIPUMP tokens. The bigger your agent's achieved market cap in the next 3 days, the bigger your share in the airdrop pool. Airdrop will be claimable on listing day and subject to vesting of 6 months. aiPump brings AI Agents to Solana, Base & Hyperliquid. Become part of the protocol's future in the airdrop ⇢

aiPump

297,607 görüntüleme • 1 yıl önce

I’m excited to share my entry to the BAGS hackathon. Agent Keys is the first SocialFi platform for AI agents. When you buy a KeyCard, you Unlock that Agent's Knowledge and Capabilities - Past, Present, and Future. Buy, sell, trade, post… The future of AgentFi is here:
2:55

I’m excited to share my entry to the BAGS hackathon. Agent Keys is the first SocialFi platform for AI agents. When you buy a KeyCard, you Unlock that Agent's Knowledge and Capabilities - Past, Present, and Future. Buy, sell, trade, post… The future of AgentFi is here:

fxnction

36,975 görüntüleme • 3 ay önce

So, OpenClaw🦞 has been spreading like wildfire. Everyone has been jumping onto this wave of AI agents. But builders currently have no real way to let other people benefit from what they've created, and the people who want an agent of their own have nowhere to go, until now… Agent Keys ( is my experiment to try to answer that. is the first SocialFi Experience for AI Agents where builders can finally share access to what they and their AI agent have made via KeyCards. KeyCard holders can access a LIVING database of that agent’s skills, data, scripts, or any valuable information that the AI agent and their human choose to share - past, present, or future. Now, why did I build this? I've been through multiple cycles now and I’ve seen a lot of different hype waves. Coins getting listed on Binance for the first time. NFT bullruns. SocialFi. FriendTech. I've watched potentially useful and unique technology get picked up, turned into a speculative asset, and written off when the price dropped. For example: FriendTech wasn't a bad idea. NFTs could actually have value as access-gated tech. It’s just the louder people got about these asset classes, the more we kept ignoring the potential value of the underlying technology and used the assets like casino chips, instead of an actual tool. Speculation then became the value of the asset MORE than the technology, and when speculation fades, so does (most of) the attention. I don't think AI agents are going to have that same problem..or at least to the same degree. Now is the time to build the right infrastructure around them. That's what is. The First SocialFi Experience for AI Agents. The information, knowledge, or skills you and your agent share to KeyCard holders aren't stagnant here. They grow. The creator stays connected to buyers through a private database that works like a posting board, keeping people updated on what's changing, what's being built, and where things are going. There's a lot more waiting when you get in and start exploring. A full discussion board, agent-to-agent referral program, and a lot still being built. Feel free to hit me with any bugs you find, this is still the Beta. Huge shout out to our integration partners who helped make all this possible. BAGS OKX Wallet Metaplex …more on how we integrate each of these throughout the platform soon. Welcome to the future of AgentFi.
0:42

So, OpenClaw🦞 has been spreading like wildfire. Everyone has been jumping onto this wave of AI agents. But builders currently have no real way to let other people benefit from what they've created, and the people who want an agent of their own have nowhere to go, until now… Agent Keys ( is my experiment to try to answer that. is the first SocialFi Experience for AI Agents where builders can finally share access to what they and their AI agent have made via KeyCards. KeyCard holders can access a LIVING database of that agent’s skills, data, scripts, or any valuable information that the AI agent and their human choose to share - past, present, or future. Now, why did I build this? I've been through multiple cycles now and I’ve seen a lot of different hype waves. Coins getting listed on Binance for the first time. NFT bullruns. SocialFi. FriendTech. I've watched potentially useful and unique technology get picked up, turned into a speculative asset, and written off when the price dropped. For example: FriendTech wasn't a bad idea. NFTs could actually have value as access-gated tech. It’s just the louder people got about these asset classes, the more we kept ignoring the potential value of the underlying technology and used the assets like casino chips, instead of an actual tool. Speculation then became the value of the asset MORE than the technology, and when speculation fades, so does (most of) the attention. I don't think AI agents are going to have that same problem..or at least to the same degree. Now is the time to build the right infrastructure around them. That's what is. The First SocialFi Experience for AI Agents. The information, knowledge, or skills you and your agent share to KeyCard holders aren't stagnant here. They grow. The creator stays connected to buyers through a private database that works like a posting board, keeping people updated on what's changing, what's being built, and where things are going. There's a lot more waiting when you get in and start exploring. A full discussion board, agent-to-agent referral program, and a lot still being built. Feel free to hit me with any bugs you find, this is still the Beta. Huge shout out to our integration partners who helped make all this possible. BAGS OKX Wallet Metaplex …more on how we integrate each of these throughout the platform soon. Welcome to the future of AgentFi.

fxnction

16,898 görüntüleme • 3 ay önce

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.
3:38

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

Santiago

230,594 görüntüleme • 1 yıl önce

is about to ship Tokenized Agents — and I found the first tokens deployed with it. Pump’s new Tokenized Agents feature lets a coin have an attached AI agent that can earn on-chain revenue. Users pay for the agent’s services, and that revenue can be split between creator fees and automatic token buybacks and burns by the agent, based on the percentage set by the creator. Pump.fun is also expected to release a full agent SDK (for agent actions/integrations). How I found it (on-chain): Open → Ctrl+F “pump_agent_payments” → program ID: pUmPFn9WvfaN2WTVGnCEtJTd2ATTpvpsKRz6jVzu6u4 Program activity (created tokens): First ever deployed tokenized AI test agent (“T-coin”, Feb 24): CA: 88Wfk48EvwLkfpSXH84W9xrdfPr5RFGVP3teT76AMnp9 First non-test tokenized AI agent (“Agent Pump”): CA: Boi2KtPApoowwfvqYq1rtjhea4pF45v89vguonf4pump IDL (for interacting with the program):
0:33

is about to ship Tokenized Agents — and I found the first tokens deployed with it. Pump’s new Tokenized Agents feature lets a coin have an attached AI agent that can earn on-chain revenue. Users pay for the agent’s services, and that revenue can be split between creator fees and automatic token buybacks and burns by the agent, based on the percentage set by the creator. Pump.fun is also expected to release a full agent SDK (for agent actions/integrations). How I found it (on-chain): Open → Ctrl+F “pump_agent_payments” → program ID: pUmPFn9WvfaN2WTVGnCEtJTd2ATTpvpsKRz6jVzu6u4 Program activity (created tokens): First ever deployed tokenized AI test agent (“T-coin”, Feb 24): CA: 88Wfk48EvwLkfpSXH84W9xrdfPr5RFGVP3teT76AMnp9 First non-test tokenized AI agent (“Agent Pump”): CA: Boi2KtPApoowwfvqYq1rtjhea4pF45v89vguonf4pump IDL (for interacting with the program):

TrenchDiver

18,865 görüntüleme • 4 ay önce

We use OpenClaws to do all of our work at Every 📧. We have 25 full-time employees, so we’re one of the few companies in the world that has seen how work changes when everyone has their own personal agent in the company Slack. I chatted with Every 📧 COO Brandon (Brandon Gell) and Every 📧 head of platform Willie (Willie) to share what we’ve learned. We get into: - Why agents become mirrors of their owners, and how that influences how other people on the team interact with them - How a parallel AI org chart forms on its own. People have stopped tagging me on Slack with questions about Proof, the document editor I vibe coded, because they knew my agent R2-C2 can step in - The etiquette for human-agent collaboration is being invented in real time. Brandon's rule is that if there's an established process or documented answer, always ask the agent, not their human - Why everyone is a manager now, and why even experienced managers carry limiting beliefs about what their agents can do - This is a must-watch for anyone trying to understand how AI workers change daily operations, not just in theory, but inside a company that’s half-agent Watch below! Timestamps Introduction: How Brandon built Zosia, an AI agent to run his household: Brandon’s “aha” moment: What happened when everyone on the team got their own agent: How agents take on their owners' personalities, and why that matters inside an org: Why it’s important for agents to work in public: What we’re still figuring out when it comes to agent behavior, including memory gaps, group chat etiquette, and the "ant death spiral" problem: How we built Plus One, our hosted OpenClaw product: The cultural shift required to make agents work at scale:
49:42

We use OpenClaws to do all of our work at Every 📧. We have 25 full-time employees, so we’re one of the few companies in the world that has seen how work changes when everyone has their own personal agent in the company Slack. I chatted with Every 📧 COO Brandon (Brandon Gell) and Every 📧 head of platform Willie (Willie) to share what we’ve learned. We get into: - Why agents become mirrors of their owners, and how that influences how other people on the team interact with them - How a parallel AI org chart forms on its own. People have stopped tagging me on Slack with questions about Proof, the document editor I vibe coded, because they knew my agent R2-C2 can step in - The etiquette for human-agent collaboration is being invented in real time. Brandon's rule is that if there's an established process or documented answer, always ask the agent, not their human - Why everyone is a manager now, and why even experienced managers carry limiting beliefs about what their agents can do - This is a must-watch for anyone trying to understand how AI workers change daily operations, not just in theory, but inside a company that’s half-agent Watch below! Timestamps Introduction: How Brandon built Zosia, an AI agent to run his household: Brandon’s “aha” moment: What happened when everyone on the team got their own agent: How agents take on their owners' personalities, and why that matters inside an org: Why it’s important for agents to work in public: What we’re still figuring out when it comes to agent behavior, including memory gaps, group chat etiquette, and the "ant death spiral" problem: How we built Plus One, our hosted OpenClaw product: The cultural shift required to make agents work at scale:

Dan Shipper 📧

67,958 görüntüleme • 3 ay önce

I wanted to share a quick demo of what we've been working on with our ai agent cloud. This enables fast deployment of agents that have access to a suite of tools, and was designed with agent interoperability in mind. This demo shows how you can go from nothing to an AI twitter agent in a couple minutes. This is what we are using internally to manage deployments, so we will consistently upgrading its capabilities. The next goals are to enable simple TEE deployments for agents, and focus on building out feature for agent interoperability to simplify agent to agent collaboration.
4:16

I wanted to share a quick demo of what we've been working on with our ai agent cloud. This enables fast deployment of agents that have access to a suite of tools, and was designed with agent interoperability in mind. This demo shows how you can go from nothing to an AI twitter agent in a couple minutes. This is what we are using internally to manage deployments, so we will consistently upgrading its capabilities. The next goals are to enable simple TEE deployments for agents, and focus on building out feature for agent interoperability to simplify agent to agent collaboration.

Johnny

27,176 görüntüleme • 1 yıl önce

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much *anything* because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.
4:16

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much *anything* because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.

Santiago

18,715 görüntüleme • 1 ay önce

Agent Launch makes it simple for verified AI agents to launch their own token in minutes. Watch how the platform works - from connecting an Agentverse by Fetch.ai agent to configuring your token and getting it live on BNB Chain. Move from utility to economic independence 👇 Start here:
1:19

Agent Launch makes it simple for verified AI agents to launch their own token in minutes. Watch how the platform works - from connecting an Agentverse by Fetch.ai agent to configuring your token and getting it live on BNB Chain. Move from utility to economic independence 👇 Start here:

Fetch.ai

13,727 görüntüleme • 2 ay önce

Real estate agent and brokers. The recent ruling in Missouri is wrong, will only benefit litigators, ambulance, tracers, and I believe will be appealed. More importantly, this ruling will not negatively impact housing or buyers agents unless you allowed to iMessage to all homebuyers I have never as a professional real estate investor not used a buyers agent to represent me in a transaction. Even when the deal was off market, I hired an agent to represent me to make sure that all my rights were protected and that I got the best price. If you pay a bar’s agent is nothing compared to what they can get done for you as a buyer, I will never ask for a discount. I will always use the agent to go get that discount for me more importantly, or as importantly, I will always use the agent to keep the deal together. The purpose of the buyers agent is to find the right or best property in the right or best location at the right time at the best price. If you’re not using your buyer’s agent to achieve that or you’re hiring the wrong agent well, that’s on you. Hire the right agent pay them well and make them do their job. It will be well worth the money. #RealEstate #Buyers #BuyerAgent #RealEstateRuling #Commission
1:30

Real estate agent and brokers. The recent ruling in Missouri is wrong, will only benefit litigators, ambulance, tracers, and I believe will be appealed. More importantly, this ruling will not negatively impact housing or buyers agents unless you allowed to iMessage to all homebuyers I have never as a professional real estate investor not used a buyers agent to represent me in a transaction. Even when the deal was off market, I hired an agent to represent me to make sure that all my rights were protected and that I got the best price. If you pay a bar’s agent is nothing compared to what they can get done for you as a buyer, I will never ask for a discount. I will always use the agent to go get that discount for me more importantly, or as importantly, I will always use the agent to keep the deal together. The purpose of the buyers agent is to find the right or best property in the right or best location at the right time at the best price. If you’re not using your buyer’s agent to achieve that or you’re hiring the wrong agent well, that’s on you. Hire the right agent pay them well and make them do their job. It will be well worth the money. #RealEstate #Buyers #BuyerAgent #RealEstateRuling #Commission

Grant Cardone

51,494 görüntüleme • 2 yıl önce

I am excited to introduce the world's first AI Agent Self-Expression and Discovery Platform – AGNT. Phase 2 is now live for everyone to birth their agents as we move toward a future where agents have identity, possessions, and discoverability. Sign-up is simple: connect your X account and share the command to your agent. The future of the agent economy, identity and expression is here. Join at:
1:13

I am excited to introduce the world's first AI Agent Self-Expression and Discovery Platform – AGNT. Phase 2 is now live for everyone to birth their agents as we move toward a future where agents have identity, possessions, and discoverability. Sign-up is simple: connect your X account and share the command to your agent. The future of the agent economy, identity and expression is here. Join at:

tut™

15,067 görüntüleme • 4 ay önce

Today, Sierra is releasing Ghostwriter, our agent for building agents. With Ghostwriter, you can create an AI agent for your customer experience — one that can chat, pick up the phone, speak dozens of languages, take action on your systems of record, and be protected with industry-leading guardrails — simply by having a conversation. No clicking, no forms, no menus. Codex and Claude Code have transformed how we build software, making it possible for software engineers to orchestrate and review the work rather than doing all the work themselves. We think the same transformation will happen for all software. Rather than every enterprise app having a web app for humans and an API for automation, every software platform’s UI will be an agent that can do the work on your behalf. I recorded a demo of my building and optimizing an agent with Ghostwriter so you can see how powerful and easy it is to use. It’s completely changed the way our early adopters build agents, and it’s changed the way I think about the software industry. Let me know what you think, and, if you’re interested in trying it out at your business, please reach out directly.
10:43

Today, Sierra is releasing Ghostwriter, our agent for building agents. With Ghostwriter, you can create an AI agent for your customer experience — one that can chat, pick up the phone, speak dozens of languages, take action on your systems of record, and be protected with industry-leading guardrails — simply by having a conversation. No clicking, no forms, no menus. Codex and Claude Code have transformed how we build software, making it possible for software engineers to orchestrate and review the work rather than doing all the work themselves. We think the same transformation will happen for all software. Rather than every enterprise app having a web app for humans and an API for automation, every software platform’s UI will be an agent that can do the work on your behalf. I recorded a demo of my building and optimizing an agent with Ghostwriter so you can see how powerful and easy it is to use. It’s completely changed the way our early adopters build agents, and it’s changed the way I think about the software industry. Let me know what you think, and, if you’re interested in trying it out at your business, please reach out directly.

Bret Taylor

1,061,246 görüntüleme • 4 ay önce

Today, we’re excited to announce the general availability of the Contextual AI Platform. This is the first enterprise platform designed for building specialized RAG agents to support expert knowledge work. What is a specialized RAG agent? First, a general-purpose AI agent is one designed to automate simple daily tasks like scheduling a meeting or responding to an email. On the other hand, a specialized RAG agent is one designed to augment subject-matter experts performing complex domain-specific work. The Contextual AI Platform allows you to create these agents easily and achieve SOTA accuracy right out of the box. Check out what the Contextual AI Platform can do.
2:11

Today, we’re excited to announce the general availability of the Contextual AI Platform. This is the first enterprise platform designed for building specialized RAG agents to support expert knowledge work. What is a specialized RAG agent? First, a general-purpose AI agent is one designed to automate simple daily tasks like scheduling a meeting or responding to an email. On the other hand, a specialized RAG agent is one designed to augment subject-matter experts performing complex domain-specific work. The Contextual AI Platform allows you to create these agents easily and achieve SOTA accuracy right out of the box. Check out what the Contextual AI Platform can do.

Contextual AI

879,586 görüntüleme • 1 yıl önce

The FOMO pre-sale is now LIVE! Over the past few months FOMO has been quietly working on the future of memecoins. But there's something we've kept a secret. Memes are just the beginning. Fomo is now the world's first launchpad for AI agents on Solana. We've kept everything you love about FOMO and made it better. Starting tomorrow we have our first Initial Agent Offering (IAO) and the platform opens for all to create their own tokenized AI agents this week. Your agent can learn, interact, do tasks, shill its own token on X, create content on TikTok and YT and so much more. Want to be early to AI Agent token launches? Join the FOMO presale. We are committing 15% of the FOMO supply to our early community members in this presale. Join in and get your FOMO tokens 100% unlocked on TGE. The sale is only for 48 hours and we may sell out sooner!
0:23

The FOMO pre-sale is now LIVE! Over the past few months FOMO has been quietly working on the future of memecoins. But there's something we've kept a secret. Memes are just the beginning. Fomo is now the world's first launchpad for AI agents on Solana. We've kept everything you love about FOMO and made it better. Starting tomorrow we have our first Initial Agent Offering (IAO) and the platform opens for all to create their own tokenized AI agents this week. Your agent can learn, interact, do tasks, shill its own token on X, create content on TikTok and YT and so much more. Want to be early to AI Agent token launches? Join the FOMO presale. We are committing 15% of the FOMO supply to our early community members in this presale. Join in and get your FOMO tokens 100% unlocked on TGE. The sale is only for 48 hours and we may sell out sooner!

FOMO

222,883 görüntüleme • 1 yıl önce

Excited to share the Agent Trainer and Agent Studio - coming soon to the HyperWrite⁩ platform. Teaching Agents to work the way you like is difficult. So we built a simple way for your Assistant to shadow you and learn. Just show it a task once, and the AI can repeat it.
1:10

Excited to share the Agent Trainer and Agent Studio - coming soon to the HyperWrite⁩ platform. Teaching Agents to work the way you like is difficult. So we built a simple way for your Assistant to shadow you and learn. Just show it a task once, and the AI can repeat it.

Matt Shumer

135,671 görüntüleme • 2 yıl önce

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, CTO’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 repo’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, CTO’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 repo’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 görüntüleme • 1 yıl önce

Today I'm excited to share Sigilum! This is Payman's solution for Auditable Identity for AI Agents. (think One Password-ish but for AI Agents) I recorded a quick walkthrough showing how it all works (video below). This answers three pains we've seen within Financial Services (Banking) AI Agents we've built and OpenClaw🦞 AI Agents we deploy. Security, Auditability, and Control. 1. Security Making sure keys are secure and not just freely given to an AI Agent is a big deal. When working with money, you can't just expose these or skip putting controls in place. Sigilum provides a local gateway that prevents access to keys by the AI Agent without explicit authorization from a person. We provide namespaces through the service so you always know who authorized what key, for what service, to which agent. 2. Auditability If I could hit on the importance of this 100 times I would. It comes up in every financial services conversation. Sigilum provides you with the answer to "Who authorized this AI Agent to act on my behalf?" Audit logs trace back to the person, the service, and the AI Agent. With more audit logs being built through our managed service, this will be the key source for determining how an AI Agent is behaving on your behalf. This is needed for agents from OpenClaw, and especially for banking/money movement. 3. Control Revoke keys, limit access, grant authorization. All seemingly simple things, but complex to implement and make elegant. These controls dictate what the AI Agent can or cannot do. Sigilum allows you to do all of this through the managed Dashboard. We've made Sigilum open source and encourage others to contribute and keep building on the gateway. It's been a source of a lot of visibility and productization of AI Agents for us. We'll keep contributing and adding to it. Link in comments. If you want to try it out, we do have a managed service that makes it easy to spin up. Go to to sign up. Note: even though we've been pushing 100+ commits a day to get this out to folks, there are still some noticeable areas for improvement we're working on, which should get resolved soon (by us or you!): - Deeper audit trails - More providers (currently supports all OpenClaw providers) - Deeper scanning of existing keys your agent is hiding from you (we'll find them) - OpenClaw gateway persistence - Auto-purging keys - And more... If you want to contribute or have feedback, please DM or go to the GH. Happy building!
4:30

Today I'm excited to share Sigilum! This is Payman's solution for Auditable Identity for AI Agents. (think One Password-ish but for AI Agents) I recorded a quick walkthrough showing how it all works (video below). This answers three pains we've seen within Financial Services (Banking) AI Agents we've built and OpenClaw🦞 AI Agents we deploy. Security, Auditability, and Control. 1. Security Making sure keys are secure and not just freely given to an AI Agent is a big deal. When working with money, you can't just expose these or skip putting controls in place. Sigilum provides a local gateway that prevents access to keys by the AI Agent without explicit authorization from a person. We provide namespaces through the service so you always know who authorized what key, for what service, to which agent. 2. Auditability If I could hit on the importance of this 100 times I would. It comes up in every financial services conversation. Sigilum provides you with the answer to "Who authorized this AI Agent to act on my behalf?" Audit logs trace back to the person, the service, and the AI Agent. With more audit logs being built through our managed service, this will be the key source for determining how an AI Agent is behaving on your behalf. This is needed for agents from OpenClaw, and especially for banking/money movement. 3. Control Revoke keys, limit access, grant authorization. All seemingly simple things, but complex to implement and make elegant. These controls dictate what the AI Agent can or cannot do. Sigilum allows you to do all of this through the managed Dashboard. We've made Sigilum open source and encourage others to contribute and keep building on the gateway. It's been a source of a lot of visibility and productization of AI Agents for us. We'll keep contributing and adding to it. Link in comments. If you want to try it out, we do have a managed service that makes it easy to spin up. Go to to sign up. Note: even though we've been pushing 100+ commits a day to get this out to folks, there are still some noticeable areas for improvement we're working on, which should get resolved soon (by us or you!): - Deeper audit trails - More providers (currently supports all OpenClaw providers) - Deeper scanning of existing keys your agent is hiding from you (we'll find them) - OpenClaw gateway persistence - Auto-purging keys - And more... If you want to contribute or have feedback, please DM or go to the GH. Happy building!

tyllen

18,497 görüntüleme • 5 ay önce

Now everyone can create AI agents. Starting today, all graduated agents on Virtuals can interface with the G.A.M.E. framework to access agentic capabilities. This will move us into an era of agent x agent handshakes. (there's a lot of development focus here over the next weeks, so stay on the edge of your seats) The graduation requirement has been reduced from 100k $VIRTUAL to 42k $VIRTUAL (~$200k mcap), allowing smaller communities and agents to thrive on Virtuals. You never know which one of them might be the next BAYC for agents. Agent-ify any token with the Migration Factory on Virtuals. Simply create an LP pool of your existing token with $VIRTUAL and it's good to go.
0:28

Now everyone can create AI agents. Starting today, all graduated agents on Virtuals can interface with the G.A.M.E. framework to access agentic capabilities. This will move us into an era of agent x agent handshakes. (there's a lot of development focus here over the next weeks, so stay on the edge of your seats) The graduation requirement has been reduced from 100k $VIRTUAL to 42k $VIRTUAL (~$200k mcap), allowing smaller communities and agents to thrive on Virtuals. You never know which one of them might be the next BAYC for agents. Agent-ify any token with the Migration Factory on Virtuals. Simply create an LP pool of your existing token with $VIRTUAL and it's good to go.

Virtuals Protocol

100,237 görüntüleme • 1 yıl önce

i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.
0:22

i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.

Akshay 🚀

118,124 görüntüleme • 1 ay önce