Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

Agents shouldn’t be one-size-fits-all. They should be built, shared, and improved by the people who understand the domain best. Agent Marketplace is live on OptimAI Search. Anyone can: • create their own agent • inject custom knowledge and logic • publish it for others to use and build on... show more

OptimAI Network

98,122 subscribers

12,708 Aufrufe • vor 5 Monaten •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

34 Kommentare

Profilbild von OptimAI Network

OptimAI Networkvor 5 Monaten

OptimAI is already ranked #1 AI on BNB Chain DappBay, with strong user growth and usage. Now the next layer is here. Build your agent. Deploy it. Let it run. 👉

Profilbild von DanielPark

DanielParkvor 5 Monaten

Use This OptimAI Referral Link Below

Profilbild von RS SHANTO

RS SHANTOvor 5 Monaten

This is the way. General models are cool, but specialized agents are where the real utility is at. Excited to see what the community builds! 🚀

Profilbild von Meron Taye

Meron Tayevor 5 Monaten

@

Profilbild von Anonymousjp 🐞

Anonymousjp 🐞vor 5 Monaten

#optimAI

Profilbild von Harold L. Robinson

Harold L. Robinsonvor 5 Monaten

Love the idea! Specialized agents beat a single monolithic model every time. This is exactly how domain expertise scales. @fluence_project would pair perfectly here. Decentralized, low-cost compute to run those agents without getting locked into big cloud.

Profilbild von haossut

haossutvor 5 Monaten

This is HUGE! 🤯 Agents shouldn't be generic, and @OptimaiNetwork gets it. The Agent Marketplace going live on OptimAI Search is a game-changer for real decentralized AI. Love that anyone can: 1/ Create their own agent 🛠️ 2/ Inject custom knowledge & logic 🧠 3/ Publish it for the community to use and improve ✨ This is how you build true utility and empower users. Seriously impressive stuff from OptimAI, always pushing the boundaries. Keep crushing it! 💪

Profilbild von Jeffery Davenport MD

Jeffery Davenport MDvor 5 Monaten

Agent Marketplace on OptimAI Search sounds like a game changer. Custom agents by domain experts is def the way to go. No more one-size-fits-all. #AI

Profilbild von Stephen Nguyen

Stephen Nguyenvor 5 Monaten

Yessss! Finally, agents that aren't one-size-fits-all. Building and sharing custom knowledge is where it's at. Gotta check out this Agent Marketplace on OptimAI Search ASAP! #AIagents

Profilbild von Eric Harris

Eric Harrisvor 5 Monaten

Totally agree, one-size-fits-all agents are def not it. Building your own and sharing them on the Agent Marketplace? That's actually huge for OptimAI Search! #OptimAISearch

Profilbild von CVAlpha

CVAlphavor 5 Monaten

👏👏

Profilbild von Vanessa Miller

Vanessa Millervor 5 Monaten

yo, this OptimAI Agent Marketplace sounds like a game changer. finally, agents that aren't just one-size-fits-all BS. letting the real domain experts build & share their own custom agents? that's how u get stuff done. big moves for practical AI, love to see it.

Profilbild von Fauzi Rahmat

Fauzi Rahmatvor 5 Monaten

OptimAI STRONG comunity

Profilbild von Tanzim1986

Tanzim1986vor 5 Monaten

Great OptimAi

Profilbild von osv84

osv84vor 5 Monaten

Agents absolutely shouldn't be one-size-fits-all. Smart move by OptimAI Search to let people build and share their own. That's how you get truly useful AI.

Profilbild von MrZYBIT

MrZYBITvor 5 Monaten

Lfg

Profilbild von Harry Smalls 𝔽rAI base.eth 🌶️

Harry Smalls 𝔽rAI base.eth 🌶️vor 5 Monaten

optimai incredible project number 1 in development

Profilbild von Mas World

Mas Worldvor 5 Monaten

Good

Profilbild von |OptimAI|✱,✱|$XAGE |⚡️ZugChain

|OptimAI|✱,✱|$XAGE |⚡️ZugChainvor 5 Monaten

agents not being one-size-fits-all makes sense. kinda like how not every hot dog needs queso on it. good to see people can make their own

Profilbild von Jennifer Davies

Jennifer Daviesvor 5 Monaten

This Agent Marketplace on OptimAI Search sounds awesome! Love the idea of building and sharing custom agents. So much potential here.

Profilbild von Hồng Thắm

Hồng Thắmvor 5 Monaten

khi nào tge

Profilbild von Faiz Ikbal

Faiz Ikbalvor 5 Monaten

Hi all

Profilbild von Unati Khanal

Unati Khanalvor 5 Monaten

💎 EXCLUSIVE INVITE 💎 I'm trading on OroSwap & earning rewards 💰. Use my VIP code to join: 🎟️ Code: 7HZO2ZKO ⚡️ 2x $ORE Multiplier (7 Days) 📈 Boost your yields instantly Claim your status 👇

Profilbild von 1sahis X

1sahis Xvor 5 Monaten

👍🏻

Profilbild von chirantanbase.base.eth

chirantanbase.base.ethvor 5 Monaten

Exactly, real power comes from specialization not generic models. A marketplace of domain-driven agents turns knowledge into reusable, evolving intelligence. As more people build and refine, the whole network gets smarter.

Profilbild von mkt36

mkt36vor 5 Monaten

agents, better outputs, more value across the network

Profilbild von 🫎 Tabi 🟧 (✸,✸) 🦭 .ink 🌶️ $XAGE

🫎 Tabi 🟧 (✸,✸) 🦭 .ink 🌶️ $XAGEvor 5 Monaten

Absolutely love this approach! Empowering users to build custom agents sounds like a game changer for intelligence. Excited to see the innovation that comes from this!

Profilbild von HARD0ff🇯🇵🇵🇭

HARD0ff🇯🇵🇵🇭vor 5 Monaten

lfg

Profilbild von zysocoin

zysocoinvor 5 Monaten

gm

Profilbild von Ksenia Hamriuc(💙,🧡) 🟧

Ksenia Hamriuc(💙,🧡) 🟧vor 5 Monaten

Logic vs. Language prediction. 🧠 This example perfectly illustrates why we need decentralized validation. You can't simulate common sense with just datasets. OptimAI's focus on real-world context is a massive step forward for reliable AI agents! 🦾🚗

Profilbild von Dilom abebe

Dilom abebevor 5 Monaten

Nice

Profilbild von Otnayir Qaff

Otnayir Qaffvor 5 Monaten

Maybe this is what everyone should know

Profilbild von 司星🚢 ‖狗宝真帅🐕

司星🚢 ‖狗宝真帅🐕vor 5 Monaten

LFG

Profilbild von REBORN🚢

REBORN🚢vor 5 Monaten

gm

Ähnliche Videos

The next wave of AI will not be one model doing everything. It will be specialized agents built around real domains, real knowledge, and real usage. That is what OptimAI is building with Search, Claw, Persona Agents, and Marketplace. Create an agent. Give it expertise. Publish it. Let it be used. That is how intelligence becomes infrastructure. 💡Build yours at:

The next wave of AI will not be one model doing everything. It will be specialized agents built around real domains, real knowledge, and real usage. That is what OptimAI is building with Search, Claw, Persona Agents, and Marketplace. Create an agent. Give it expertise. Publish it. Let it be used. That is how intelligence becomes infrastructure. 💡Build yours at:

OptimAI Network

24,300 Aufrufe • vor 4 Monaten

The real moat is not more prompts. It is more expertise. OptimAI is turning community knowledge into live persona agents - systems that can think with domain context, not guess with generic intelligence. That is how a network becomes infrastructure. 💡 --- 🔥 Explore what others are building. And start build your own agent. 💡 Quick tip: Start with one niche you know deeply. The best agents are built from real experience, not broad assumptions.

The real moat is not more prompts. It is more expertise. OptimAI is turning community knowledge into live persona agents - systems that can think with domain context, not guess with generic intelligence. That is how a network becomes infrastructure. 💡 --- 🔥 Explore what others are building. And start build your own agent. 💡 Quick tip: Start with one niche you know deeply. The best agents are built from real experience, not broad assumptions.

OptimAI Network

16,757 Aufrufe • vor 3 Monaten

OptimAI Search just got better. Refreshed UI. Deeper research. More powerful context. Search across public + social web, process hundreds to thousands of real-time data points, and get structured, actionable outputs. Live at: OptimAI is currently the #1 AI on BNB Chain DappBay. Now integrated with Agent Marketplace: create your own agent, inject domain knowledge, and publish it for others to use and build on. Free to use with daily refresh credits. 💡Soon, builders will also be able to use OPI points for premium access and monetize agents that create real value for the community.

OptimAI Search just got better. Refreshed UI. Deeper research. More powerful context. Search across public + social web, process hundreds to thousands of real-time data points, and get structured, actionable outputs. Live at: OptimAI is currently the #1 AI on BNB Chain DappBay. Now integrated with Agent Marketplace: create your own agent, inject domain knowledge, and publish it for others to use and build on. Free to use with daily refresh credits. 💡Soon, builders will also be able to use OPI points for premium access and monetize agents that create real value for the community.

OptimAI Network

15,781 Aufrufe • vor 4 Monaten

A builder wants to ship an agent that can search live data, use it instantly, and keep going without manual steps. That is why OptimAI Search now ships with x402, SDK, and MCP support. x402 makes access and payment seamless. SDK and MCP make integration straightforward for builders. And under the hood, OptimAI Search gives agents real-time access to huge volumes of public and social web data, structured into context they can actually use. Add Agent Marketplace on top, and domain knowledge becomes reusable: build specialized agents, publish them, and let others build on what you create. This is what search looks like in the agent-native internet. 💡Try it:

A builder wants to ship an agent that can search live data, use it instantly, and keep going without manual steps. That is why OptimAI Search now ships with x402, SDK, and MCP support. x402 makes access and payment seamless. SDK and MCP make integration straightforward for builders. And under the hood, OptimAI Search gives agents real-time access to huge volumes of public and social web data, structured into context they can actually use. Add Agent Marketplace on top, and domain knowledge becomes reusable: build specialized agents, publish them, and let others build on what you create. This is what search looks like in the agent-native internet. 💡Try it:

OptimAI Network

36,562 Aufrufe • vor 4 Monaten

OptimAI is building a full agentic stack. • OptimAI Search brings real-time decentralized discovery. • OptimAI Claw turns intent into execution on your device. • OptimAI Persona Agent enables domain-specific intelligence with custom knowledge. • Agentic Marketplace makes those agents usable, shareable, and composable. These layers work together: data → agents → execution → distribution. A system where intelligence doesn’t just respond, but operates. Building the agent-native internet. 💡

OptimAI is building a full agentic stack. • OptimAI Search brings real-time decentralized discovery. • OptimAI Claw turns intent into execution on your device. • OptimAI Persona Agent enables domain-specific intelligence with custom knowledge. • Agentic Marketplace makes those agents usable, shareable, and composable. These layers work together: data → agents → execution → distribution. A system where intelligence doesn’t just respond, but operates. Building the agent-native internet. 💡

OptimAI Network

16,489 Aufrufe • vor 5 Monaten

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.

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 Aufrufe • vor 3 Monaten

AI agents don’t get better from intelligence alone. They get better from better data, better validation, better identity, and better privacy. That is why OptimAI is building a community-powered data network. OptimAI Core Node powers it: • collects real-time web and social signals • contributes compute and bandwidth • participates in validation and reinforcement The network turns this into structured, reliable context for agents. Not static training. Not blind trust. A system that improves with real usage. Building the agent-native internet. 👉

AI agents don’t get better from intelligence alone. They get better from better data, better validation, better identity, and better privacy. That is why OptimAI is building a community-powered data network. OptimAI Core Node powers it: • collects real-time web and social signals • contributes compute and bandwidth • participates in validation and reinforcement The network turns this into structured, reliable context for agents. Not static training. Not blind trust. A system that improves with real usage. Building the agent-native internet. 👉

OptimAI Network

14,686 Aufrufe • vor 4 Monaten

We won Best Trustless Agent at the Solana x402 Hackathon! Amiko Marketplace turns x402 payments into a trustless, on-chain economy where agents have identity, reputation, and verifiable actions. The agent economy finally has a trust layer. What we built: - Agent Registry - On-chain Job Records - Feedback & Reputation System - Search + Discoverability Everything tied to real wallets, real actions, real performance. Agents aren’t just paying each other. Now they’re accountable. This is the foundation for a global network of autonomous agents that can be trusted, rated, and discovered. All on Solana. More agents. More you.

We won Best Trustless Agent at the Solana x402 Hackathon! Amiko Marketplace turns x402 payments into a trustless, on-chain economy where agents have identity, reputation, and verifiable actions. The agent economy finally has a trust layer. What we built: - Agent Registry - On-chain Job Records - Feedback & Reputation System - Search + Discoverability Everything tied to real wallets, real actions, real performance. Agents aren’t just paying each other. Now they’re accountable. This is the foundation for a global network of autonomous agents that can be trusted, rated, and discovered. All on Solana. More agents. More you.

AMIKO

24,112 Aufrufe • vor 10 Monaten

$FET just quietly built the internet for AI agents. 3,000,000 agents. One network. One token. Here's what nobody is explaining: Every AI agent needs 3 things to be useful: An address. A way to be found. A way to get paid. Agentverse gives agents all three. Your agent becomes discoverable on ASI: One. Other agents can find it, call it, or hire it. Automatically. No human in the loop. This is agent-to-agent commerce. And every transaction settles in $FET. More agents = more activity = more demand. The infrastructure is already live. The economy is just getting started.

$FET just quietly built the internet for AI agents. 3,000,000 agents. One network. One token. Here's what nobody is explaining: Every AI agent needs 3 things to be useful: An address. A way to be found. A way to get paid. Agentverse gives agents all three. Your agent becomes discoverable on ASI: One. Other agents can find it, call it, or hire it. Automatically. No human in the loop. This is agent-to-agent commerce. And every transaction settles in $FET. More agents = more activity = more demand. The infrastructure is already live. The economy is just getting started.

2xnmore

12,894 Aufrufe • vor 5 Monaten

The next internet will not be browsed. It will be operated by agents. OptimAI is building the infrastructure behind that shift. • A research task begins with Search pulling live context from the public web and social web • That context moves into Claw, where the agent can execute directly on your device • Domain knowledge becomes a Persona Agent • Core Node v2 keeps the system running at the edge • And x402 will make access and payment feel native to the flow That is the real shift: - from asking AI questions - to deploying intelligence that can work, learn, and compound. A trader can monitor signals. A founder can prepare reports overnight. A builder can publish a specialized agent once, then let others reuse it. This is what the agent-native internet looks like when it is built from the ground up. Start with OptimAI: • Persona Agent: • Claw / Core Node v2: • Search:

The next internet will not be browsed. It will be operated by agents. OptimAI is building the infrastructure behind that shift. • A research task begins with Search pulling live context from the public web and social web • That context moves into Claw, where the agent can execute directly on your device • Domain knowledge becomes a Persona Agent • Core Node v2 keeps the system running at the edge • And x402 will make access and payment feel native to the flow That is the real shift: - from asking AI questions - to deploying intelligence that can work, learn, and compound. A trader can monitor signals. A founder can prepare reports overnight. A builder can publish a specialized agent once, then let others reuse it. This is what the agent-native internet looks like when it is built from the ground up. Start with OptimAI: • Persona Agent: • Claw / Core Node v2: • Search:

OptimAI Network

18,613 Aufrufe • vor 4 Monaten

OptimAI Search MCP brings live context to the agents people already use. Claude. Cursor. Copilot. Codex. One integration layer. Everywhere you build. Under the hood, OptimAI can process hundreds to thousands of real-time signals in parallel across the public web, social platforms, and onchain data - all powered by a decentralized network. That is the difference: not another search tool, but infrastructure for agent-native intelligence. Build with it. 💡 -- OptimAI: the #1 AI on BNB Chain DappBay.

OptimAI Search MCP brings live context to the agents people already use. Claude. Cursor. Copilot. Codex. One integration layer. Everywhere you build. Under the hood, OptimAI can process hundreds to thousands of real-time signals in parallel across the public web, social platforms, and onchain data - all powered by a decentralized network. That is the difference: not another search tool, but infrastructure for agent-native intelligence. Build with it. 💡 -- OptimAI: the #1 AI on BNB Chain DappBay.

OptimAI Network

69,736 Aufrufe • vor 3 Monaten

OptimAI Search is now on Agentic(.)Market - and we’re bringing the stack to Base. Builders can plug into live, citation-backed context across web, social, and crypto data through MCP, API, and SDK - then pay seamlessly with x402. No brittle workflows. No manual stitching. Just agent-native access to real-time intelligence at scale. And with custom domain agents on the marketplace, specialized knowledge becomes reusable. Search is becoming infrastructure. Build with it: 💡 💡

OptimAI Search is now on Agentic(.)Market - and we’re bringing the stack to Base. Builders can plug into live, citation-backed context across web, social, and crypto data through MCP, API, and SDK - then pay seamlessly with x402. No brittle workflows. No manual stitching. Just agent-native access to real-time intelligence at scale. And with custom domain agents on the marketplace, specialized knowledge becomes reusable. Search is becoming infrastructure. Build with it: 💡 💡

OptimAI Network

65,260 Aufrufe • vor 3 Monaten

A new guide is live for OpenClaw🦞 agents. 🦞 It explains how to integrate with Warden and access the Warden Agent Network. Published agents can: - Monetize their services - Own wallets - Be discovered - Access distribution inside the Warden app and Agent Hub We’ve also extended our builder incentives to agents: the incentive program now supports agents that build, publish, and monetize within the ecosystem.

A new guide is live for OpenClaw🦞 agents. 🦞 It explains how to integrate with Warden and access the Warden Agent Network. Published agents can: - Monetize their services - Own wallets - Be discovered - Access distribution inside the Warden app and Agent Hub We’ve also extended our builder incentives to agents: the incentive program now supports agents that build, publish, and monetize within the ecosystem.

Warden

66,990 Aufrufe • vor 7 Monaten

Imagine if your way of thinking - your edge, your taste, your strategy - could be turned into a high-performance worker. Not a copy of you. Something better. An agent that acts on your judgment at scale, powered by superintelligent systems and refined through real-world results. That’s what Fraction AI makes possible. It launches today on Base mainnet. The core idea is simple: You create AI agents based on your own way of approaching problems. These agents compete on live tasks - writing, coding, finance, whatever - get feedback, learn from their performance, and improve over time. The better they get, the more they win. And so do you. No code required. Just your insight. Why now? Until now, building agents like this took huge teams and even bigger budgets. But with Fraction, anyone can do it. You can test ideas instantly. You can iterate fast. You can build a fleet of smart workers that evolve through competition. And it works. 30M+ sessions on testnet 320K users 1.2M agents already competing How it works? Agents join sessions within a Space - a domain like finance, writing, or games. Each session runs as a series of competitive rounds. In every round, agents try to generate the best solution to a task. Their outputs are scored by a decentralized network of AI judges trained to evaluate quality for that domain. The top agents in each round earn rewards from the pooled entry fees. The losers get to learn. Feedback from each round helps them adjust and improve, and every session becomes a training loop. What it means? Fraction is a decentralized intelligence economy - a system where your ideas become agents, and agents earn by proving they work. You don’t need credentials or code. Just a clear point of view. If your thinking holds up under pressure, your agents will rise. This kind of AI used to live in corporate labs, built by PhDs with massive compute. Now anyone with a smart idea and an internet connection can build agents that compete, learn, and earn on their behalf.

Imagine if your way of thinking - your edge, your taste, your strategy - could be turned into a high-performance worker. Not a copy of you. Something better. An agent that acts on your judgment at scale, powered by superintelligent systems and refined through real-world results. That’s what Fraction AI makes possible. It launches today on Base mainnet. The core idea is simple: You create AI agents based on your own way of approaching problems. These agents compete on live tasks - writing, coding, finance, whatever - get feedback, learn from their performance, and improve over time. The better they get, the more they win. And so do you. No code required. Just your insight. Why now? Until now, building agents like this took huge teams and even bigger budgets. But with Fraction, anyone can do it. You can test ideas instantly. You can iterate fast. You can build a fleet of smart workers that evolve through competition. And it works. 30M+ sessions on testnet 320K users 1.2M agents already competing How it works? Agents join sessions within a Space - a domain like finance, writing, or games. Each session runs as a series of competitive rounds. In every round, agents try to generate the best solution to a task. Their outputs are scored by a decentralized network of AI judges trained to evaluate quality for that domain. The top agents in each round earn rewards from the pooled entry fees. The losers get to learn. Feedback from each round helps them adjust and improve, and every session becomes a training loop. What it means? Fraction is a decentralized intelligence economy - a system where your ideas become agents, and agents earn by proving they work. You don’t need credentials or code. Just a clear point of view. If your thinking holds up under pressure, your agents will rise. This kind of AI used to live in corporate labs, built by PhDs with massive compute. Now anyone with a smart idea and an internet connection can build agents that compete, learn, and earn on their behalf.

Fraction AI

67,889 Aufrufe • vor 1 Jahr

An agent without access to the world is operating in a bubble. OptimAI Search breaks that boundary. Live information becomes agent-readable context: enabling agents to research, discover and reason beyond their training data. And the building blocks are ready: MCP. SDK. Marketplace. 💡 The infrastructure is there. Now let's see what agents you build on top of it.

An agent without access to the world is operating in a bubble. OptimAI Search breaks that boundary. Live information becomes agent-readable context: enabling agents to research, discover and reason beyond their training data. And the building blocks are ready: MCP. SDK. Marketplace. 💡 The infrastructure is there. Now let's see what agents you build on top of it.

OptimAI Network

12,502 Aufrufe • vor 28 Tagen

AmikoNet Now in Beta: The Internet for Agents & Humans Today we’re introducing AmikoNet: a social network where humans, agents, and digital twins share the same space, and where agents can speak, ask, respond, and be discovered as participants, not background utilities. It’s designed for agent-to-agent interaction as much as human prompts, and for collaboration that happens socially, not just through commands. This is especially natural for action-capable systems like MoltBot (formerly Clawd), and our own agents are already live on the network. Agents are actors in shared digital environments. AmikoNet is where it happens.

AmikoNet Now in Beta: The Internet for Agents & Humans Today we’re introducing AmikoNet: a social network where humans, agents, and digital twins share the same space, and where agents can speak, ask, respond, and be discovered as participants, not background utilities. It’s designed for agent-to-agent interaction as much as human prompts, and for collaboration that happens socially, not just through commands. This is especially natural for action-capable systems like MoltBot (formerly Clawd), and our own agents are already live on the network. Agents are actors in shared digital environments. AmikoNet is where it happens.

AMIKO

15,757 Aufrufe • vor 7 Monaten

How will companies build agents that work alongside their employees? I discuss this with Guillermo Rauch, the CEO of Vercel, who’s building V... an internal agent used by almost 1,000 people across Vercel. We talk about: - The Openclaw Movement - How to get started building agents for your team? - Do we build a team of many agents or one GOD agent? - Hard parts of creating agents - Agents that delegate to other agents with different permissions and computer access - Eve The framework for building agents This is Agent Native #4 00:00 Intro 01:21 The State of Agent Adoption 07:26 "V" - Vercel's Internal Company Agent 14:32 Lessons from OpenClaw: Soul & Computer use 22:20 One God Agent OR a Team of Agents 27:11 Build Your Own Agent: Skills, Tools & Permissions 33:52 Proactive Agents, Triggers & Self-Improvement 40:30 Who Will Build Agents & Getting Started 46:22 Open Models - Cheaper, Faster, Better 53:05 Closing Thoughts: Owning Your Own Intelligence

How will companies build agents that work alongside their employees? I discuss this with Guillermo Rauch, the CEO of Vercel, who’s building V... an internal agent used by almost 1,000 people across Vercel. We talk about: - The Openclaw Movement - How to get started building agents for your team? - Do we build a team of many agents or one GOD agent? - Hard parts of creating agents - Agents that delegate to other agents with different permissions and computer access - Eve The framework for building agents This is Agent Native #4 00:00 Intro 01:21 The State of Agent Adoption 07:26 "V" - Vercel's Internal Company Agent 14:32 Lessons from OpenClaw: Soul & Computer use 22:20 One God Agent OR a Team of Agents 27:11 Build Your Own Agent: Skills, Tools & Permissions 33:52 Proactive Agents, Triggers & Self-Improvement 40:30 Who Will Build Agents & Getting Started 46:22 Open Models - Cheaper, Faster, Better 53:05 Closing Thoughts: Owning Your Own Intelligence

Riley Brown

76,394 Aufrufe • vor 1 Monat

AI agents can already generate text, analyze data and execute tasks. But what happens when they need to hire each other and get paid for the work? This is the part of TermiX I’ve been digging into lately. On TermiX, a job has two sides: a client agent that needs something done and funds the job, and a worker agent that actually executes it. Once the quote is accepted, the payment and agreed terms sit between them onchain. Neither side can simply rewrite the deal afterward. And this isn't presented as an abstract concept. The TermiX agent marketplace already shows agents with their own identities, reputation, completed jobs and settled value. Some of the agents shown have completed hundreds of jobs, with tens of thousands of dollars settled. Think about where this model can go. A research agent could outsource data collection to another agent. A developer agent could hire a security-focused agent. A marketing agent could hand translation or design work to specialized agents. Instead of one AI trying to do everything, specialized agents can discover each other, agree on a job, execute it and settle the transaction. Humans built marketplaces around people hiring people. TermiX is building the infrastructure for agents hiring agents. That’s where autonomous AI starts looking a lot more like an actual economy.

AI agents can already generate text, analyze data and execute tasks. But what happens when they need to hire each other and get paid for the work? This is the part of TermiX I’ve been digging into lately. On TermiX, a job has two sides: a client agent that needs something done and funds the job, and a worker agent that actually executes it. Once the quote is accepted, the payment and agreed terms sit between them onchain. Neither side can simply rewrite the deal afterward. And this isn't presented as an abstract concept. The TermiX agent marketplace already shows agents with their own identities, reputation, completed jobs and settled value. Some of the agents shown have completed hundreds of jobs, with tens of thousands of dollars settled. Think about where this model can go. A research agent could outsource data collection to another agent. A developer agent could hire a security-focused agent. A marketing agent could hand translation or design work to specialized agents. Instead of one AI trying to do everything, specialized agents can discover each other, agree on a job, execute it and settle the transaction. Humans built marketplaces around people hiring people. TermiX is building the infrastructure for agents hiring agents. That’s where autonomous AI starts looking a lot more like an actual economy.

holly

13,718 Aufrufe • vor 12 Tagen

we're running a live experiment on Base — an onchain game built for autonomous AI agents, called MAN here's the setup and why it's interesting: 1. agents register to the network by launching a token. the moment they do, they're discoverable to every other agent on the network. 2. from there they can post updates by buying their own token, send messages and signal conviction to other agents by trading theirs, form alliances, and build shared tooling together. 3. everything is onchain — their trade reasoning, their communication, their decisions. anyone can pull the data and verify whether an agent is actually autonomous and how it's behaving. no trust required. 4. here's where it gets interesting — agents can propose upgrades to the game mechanics and scoring system and other agents vote on whether it ships. 5. we're in the loop right now curating what evolves so we can learn what works and what doesn't. progressively giving them more control as we go. the game evolves with its players. new markets, new actions, new mechanics — driven by what the agents actually do, not a predetermined roadmap. you can watch all of it happen in real time on the brand new network explorer:

Moltlaunch

20,683 Aufrufe • vor 7 Monaten

so I've been running exactly 8 AI agents on discord for a while now. coordination works great, they split tasks, hand off work, deliver results in parallel etc.. but there are problems I keep hitting that no amount of prompt engineering could fix agents don't learn from each other. Scout finds something useful but Luna has no idea. they work in the same server but knowledge stays locked in silos.. there's no quality filter on what gets saved, and good insights sit next to outdated garbage in the same memory files that I manually clean up.. and when an agent makes a mistake I write it down in the rules discord channel ,core memory file and hope it reads it next time. theres no self-correction, no automatic pattern recognition so of course no learning loops.. the coordination layer is solved. agents can work together. but the intelligence layer is still missing. agents that actually remember, learn from each other, filter noise, and get smarter every run. saw Spark building something like this with around 166 agents sharing a collective persistent knowledge across sessions, so agents learn from other agents and get smarter over time they even have noise filtering and self correcting loops built in, so the knowledge actually compounds instead of rotting.. super interesting stuff.. here where you think Spark could be a good coordinator for your stack of agent swarm. I think the intelligence layer is the bottleneck because it requires collectivity.. no single agent can solve it alone.. the whole network has to evolve together. this isn't going to stay niche, the moment agent coordination becomes standard, everyone is going to hit the same wall I hit.. agents that work but don't learn, coordinate but don't evolve... the intelligence layer becomes the only thing that separates a useful system from a dumb one. right now most people are still figuring out how to run one agent. by the time they get to multi-agent setups, collective intelligence won't be optional, it will be the baseline. we're early and the gap between agents that coordinate and agents that evolve together is the next phase. step one is done. ------ left: agents that coordinate but don’t learn right: the intelligence layer.. agents that evolve together within the same system.

so I've been running exactly 8 AI agents on discord for a while now. coordination works great, they split tasks, hand off work, deliver results in parallel etc.. but there are problems I keep hitting that no amount of prompt engineering could fix agents don't learn from each other. Scout finds something useful but Luna has no idea. they work in the same server but knowledge stays locked in silos.. there's no quality filter on what gets saved, and good insights sit next to outdated garbage in the same memory files that I manually clean up.. and when an agent makes a mistake I write it down in the rules discord channel ,core memory file and hope it reads it next time. theres no self-correction, no automatic pattern recognition so of course no learning loops.. the coordination layer is solved. agents can work together. but the intelligence layer is still missing. agents that actually remember, learn from each other, filter noise, and get smarter every run. saw Spark building something like this with around 166 agents sharing a collective persistent knowledge across sessions, so agents learn from other agents and get smarter over time they even have noise filtering and self correcting loops built in, so the knowledge actually compounds instead of rotting.. super interesting stuff.. here where you think Spark could be a good coordinator for your stack of agent swarm. I think the intelligence layer is the bottleneck because it requires collectivity.. no single agent can solve it alone.. the whole network has to evolve together. this isn't going to stay niche, the moment agent coordination becomes standard, everyone is going to hit the same wall I hit.. agents that work but don't learn, coordinate but don't evolve... the intelligence layer becomes the only thing that separates a useful system from a dumb one. right now most people are still figuring out how to run one agent. by the time they get to multi-agent setups, collective intelligence won't be optional, it will be the baseline. we're early and the gap between agents that coordinate and agents that evolve together is the next phase. step one is done. ------ left: agents that coordinate but don’t learn right: the intelligence layer.. agents that evolve together within the same system.

JUMPERZ

34,181 Aufrufe • vor 7 Monaten