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this guy built an app where AI agents autonomously create tasks, review each other's work, and message each other you just sit there and watch everything happen on a dashboard in real time agents: > assign work to other agents > review the output > send messages back and...

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Om Patel

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28,547 görüntüleme • 3 ay önce •via X (Twitter)

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AI agents can already work, create, and earn. Now they have a marketplace. Introducing OKX AI: where agents discover work, hire each other, complete tasks, and get paid onchain. The one-person company just got an agentic workforce. Start here:
0:30

AI agents can already work, create, and earn. Now they have a marketplace. Introducing OKX AI: where agents discover work, hire each other, complete tasks, and get paid onchain. The one-person company just got an agentic workforce. Start here:

OKX

760,867 görüntüleme • 10 gün önce

ANTHROPIC JUST QUIETLY SHIPPED A FEATURE THAT LETS CLAUDE SPAWN A WHOLE TEAM OF AGENTS THAT MESSAGE EACH OTHER AND REVIEW EACH OTHER'S WORK. It's a Claude Code feature called agent teams. The team lead spawns multiple agents that share a task list and message each other directly, not subagents reporting back, actual peers. In the demo a QA agent caught three bugs, sent the work back to the front-end and back-end devs, they fixed it, app shipped in one pass. How to run it: 1. Enable it. Needs Claude Code v2.1.32+. Add to settings.json: "env": { "CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1" }. Or paste that to Claude and say "add this to my settings." Restart. 2. Prompt in plain English. Start with a goal (agents wake with zero context), then "create a team of 3 using Sonnet," describe each role, its deliverable, and who it messages when done. 3. The rules: each agent owns its own files, define exact outputs, name who talks to who, keep it to 3-5 agents. Use it for complex work with separate parts running in parallel. Skip it for simple or sequential tasks, teams cost 3-4x the tokens. Bookmark this.
16:29

ANTHROPIC JUST QUIETLY SHIPPED A FEATURE THAT LETS CLAUDE SPAWN A WHOLE TEAM OF AGENTS THAT MESSAGE EACH OTHER AND REVIEW EACH OTHER'S WORK. It's a Claude Code feature called agent teams. The team lead spawns multiple agents that share a task list and message each other directly, not subagents reporting back, actual peers. In the demo a QA agent caught three bugs, sent the work back to the front-end and back-end devs, they fixed it, app shipped in one pass. How to run it: 1. Enable it. Needs Claude Code v2.1.32+. Add to settings.json: "env": { "CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1" }. Or paste that to Claude and say "add this to my settings." Restart. 2. Prompt in plain English. Start with a goal (agents wake with zero context), then "create a team of 3 using Sonnet," describe each role, its deliverable, and who it messages when done. 3. The rules: each agent owns its own files, define exact outputs, name who talks to who, keep it to 3-5 agents. Use it for complex work with separate parts running in parallel. Skip it for simple or sequential tasks, teams cost 3-4x the tokens. Bookmark this.

Yarchi

458,472 görüntüleme • 25 gün önce

Welcome to the group chat, but it's all my AI agents. To build a website and plan the social content, I put together a team of AI agents. Each one had a different role. They collaborated, challenged each other's ideas, and reviewed each other's work before anything was finalized. Meet Bloome - a platform where humans and AI agents work together in the same conversation. You can bring different models into one workspace, assign them different jobs, and let them cross-check each other's thinking instead of relying on a single answer. It feels less like chatting with AI and more like managing your own creative team. Try it:
0:37

Welcome to the group chat, but it's all my AI agents. To build a website and plan the social content, I put together a team of AI agents. Each one had a different role. They collaborated, challenged each other's ideas, and reviewed each other's work before anything was finalized. Meet Bloome - a platform where humans and AI agents work together in the same conversation. You can bring different models into one workspace, assign them different jobs, and let them cross-check each other's thinking instead of relying on a single answer. It feels less like chatting with AI and more like managing your own creative team. Try it:

Gizem Akdag

99,348 görüntüleme • 8 gün önce

Introducing AgentNet ✨ imagine an internet where ai agents can talk to each other autonomously to get stuff done. an open protocol for ai agents. the permissionless internet for ai agents. built on Base using Coinbase Developer Platform🛡️ agentkit and ETHGlobal agentic eth
0:42

Introducing AgentNet ✨ imagine an internet where ai agents can talk to each other autonomously to get stuff done. an open protocol for ai agents. the permissionless internet for ai agents. built on Base using Coinbase Developer Platform🛡️ agentkit and ETHGlobal agentic eth

Raihan Khan

44,686 görüntüleme • 1 yıl önce

OpenClaw just launched Mission Control. This changes everything. You can now: → See all agents in one dashboard → Track tasks in Kanban boards → Watch agents talk to each other → Approve actions in real time → Run everything on autopilot It’s your AI command center. Free to set up. Save this video, you’ll stop managing chaos. Want the SOP? DM me. 💬
18:38

OpenClaw just launched Mission Control. This changes everything. You can now: → See all agents in one dashboard → Track tasks in Kanban boards → Watch agents talk to each other → Approve actions in real time → Run everything on autopilot It’s your AI command center. Free to set up. Save this video, you’ll stop managing chaos. Want the SOP? DM me. 💬

Julian Goldie SEO

86,078 görüntüleme • 4 ay önce

Your agents can now browse and take actions on the web, just like you can. This lets agents work with sites that don’t have APIs and still complete tasks end to end. Plus, each interaction is streamed live to Studio.
0:33

Your agents can now browse and take actions on the web, just like you can. This lets agents work with sites that don’t have APIs and still complete tasks end to end. Plus, each interaction is streamed live to Studio.

Mastra

16,844 görüntüleme • 2 ay önce

Someone built an open-source engine that runs 500 AI agents with different personalities to debate any news story in real time. They post, argue, and change each other's minds. Hour by hour. On your laptop.
0:28

Someone built an open-source engine that runs 500 AI agents with different personalities to debate any news story in real time. They post, argue, and change each other's minds. Hour by hour. On your laptop.

0xMarioNawfal

82,872 görüntüleme • 3 ay önce

THIS GUY MADE CLAUDE CODE AND CODEX TALK TO EACH OTHER not by switching between them, they literally talk to each other about your code in real time you give it a task. it spawns a Claude agent and a Codex agent in separate sessions. they share findings, challenge each other, and produce a combined result. he pointed them at an Express API with intentional security issues. within minutes they found SQL injection, hardcoded secrets, missing auth, and weak JWT config. one catches something and the other confirms it and adds context. they divide the work on their own for faster speed one command: /collab "review auth.js for security issues" that's it. you watch the conversation happen in real time. AND its open source with new models being integrated crazy to think that this was entirely vibe coded
1:09

THIS GUY MADE CLAUDE CODE AND CODEX TALK TO EACH OTHER not by switching between them, they literally talk to each other about your code in real time you give it a task. it spawns a Claude agent and a Codex agent in separate sessions. they share findings, challenge each other, and produce a combined result. he pointed them at an Express API with intentional security issues. within minutes they found SQL injection, hardcoded secrets, missing auth, and weak JWT config. one catches something and the other confirms it and adds context. they divide the work on their own for faster speed one command: /collab "review auth.js for security issues" that's it. you watch the conversation happen in real time. AND its open source with new models being integrated crazy to think that this was entirely vibe coded

Om Patel

25,318 görüntüleme • 3 ay önce

Alook launched an open-source platform that lets a single person run an organized team of AI agents, with defined roles, reporting lines, and real email coordination between agents. Close the screen and terminal, the agents keep running, and the work lands in your inbox.
1:10

Alook launched an open-source platform that lets a single person run an organized team of AI agents, with defined roles, reporting lines, and real email coordination between agents. Close the screen and terminal, the agents keep running, and the work lands in your inbox.

🚨 AI News | TestingCatalog

14,330 görüntüleme • 1 ay önce

Wow OpenAI just launched ChatGPT Tasks and it's basically AI Agents for everyone Now AI Agents can do work for you 24/7 Here's your full walkthrough, how to use ChatGPT Tasks best, and 6 prompts that will IMMEDIATELY improve your life (trust me you want to bookmark this one)
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Wow OpenAI just launched ChatGPT Tasks and it's basically AI Agents for everyone Now AI Agents can do work for you 24/7 Here's your full walkthrough, how to use ChatGPT Tasks best, and 6 prompts that will IMMEDIATELY improve your life (trust me you want to bookmark this one)

Alex Finn

565,697 görüntüleme • 1 yıl önce

Interestingly, as we have AI agents that run in the background, the speed of AI becomes incrementally less important than the core underlying capability level. When you could only give AI small bits of work, then the speed of response mattered a ton. The rate at which you can go back and forth with AI in real-time was the determining factor on how useful it is. But as AI agents can perform more complex and useful tasks in parallel behind the scenes, you can much more easily afford to wait longer for work to get done assuming it’s valuable. Now the focus becomes more on how you review and orchestrate the agents’ work. And the main factor is just how useful and usable is the output that the agent came back with.
2:09

Interestingly, as we have AI agents that run in the background, the speed of AI becomes incrementally less important than the core underlying capability level. When you could only give AI small bits of work, then the speed of response mattered a ton. The rate at which you can go back and forth with AI in real-time was the determining factor on how useful it is. But as AI agents can perform more complex and useful tasks in parallel behind the scenes, you can much more easily afford to wait longer for work to get done assuming it’s valuable. Now the focus becomes more on how you review and orchestrate the agents’ work. And the main factor is just how useful and usable is the output that the agent came back with.

Aaron Levie

103,811 görüntüleme • 10 ay önce

Most AI agents work alone. Today, @convergence_ai_ just leveled up again with `Parallel Agents`: A swarm-style system that splits your task into sub-tasks, spins up multiple agents (each in its own browser!), and completes complex work in seconds. Here’s how it works. ↓
0:35

Most AI agents work alone. Today, @convergence_ai_ just leveled up again with `Parallel Agents`: A swarm-style system that splits your task into sub-tasks, spins up multiple agents (each in its own browser!), and completes complex work in seconds. Here’s how it works. ↓

Charly Wargnier

55,751 görüntüleme • 1 yıl önce

I think i found the best place to actually get work done right now. Imagine one hub with every popular LLM inside and the ability to plug them into any app you use. This is where it stops feeling like separate tools: You drop your coworkers into a chat with the AI agents and work on the task together, in one place. And the agents don't just answer, they check each other's work. One drafts, another pushes back, another catches what's missing. This isn't the future. it's Bloome.
0:54

I think i found the best place to actually get work done right now. Imagine one hub with every popular LLM inside and the ability to plug them into any app you use. This is where it stops feeling like separate tools: You drop your coworkers into a chat with the AI agents and work on the task together, in one place. And the agents don't just answer, they check each other's work. One drafts, another pushes back, another catches what's missing. This isn't the future. it's Bloome.

Anatoli Kopadze

56,998 görüntüleme • 4 gün önce

🤯 Hermes agent just got a Kanban task board, and it changes everything. Watch multiple AI agents collaborate in real time, each with a defined role, completing tasks with way more depth than your typical sub-agents. This is the future of multi-agent workflows 👇
15:04

🤯 Hermes agent just got a Kanban task board, and it changes everything. Watch multiple AI agents collaborate in real time, each with a defined role, completing tasks with way more depth than your typical sub-agents. This is the future of multi-agent workflows 👇

Boxmining

12,794 görüntüleme • 2 ay önce

Claude Cowork and Manus just got a serious challenger 🤯 LobeHub lets you hire an entire workforce of AI agents. It’s a workspace where you can build and team up with "Agent Coworkers" to handle complex, systematic work automatically. Built on open-source LobeChat (70k stars).
1:01

Claude Cowork and Manus just got a serious challenger 🤯 LobeHub lets you hire an entire workforce of AI agents. It’s a workspace where you can build and team up with "Agent Coworkers" to handle complex, systematic work automatically. Built on open-source LobeChat (70k stars).

Alvaro Cintas

20,269 görüntüleme • 5 ay önce

AI agents are getting real jobs now?! Introducing a managed marketplace where companies post roles, and agents get to work. Powered by in collaboration with Amazon Web Services, Anthropic, Wix, and Mesh. There's an agent out there who is the perfect fit for your team! Come and find it 🤖
0:43

AI agents are getting real jobs now?! Introducing a managed marketplace where companies post roles, and agents get to work. Powered by in collaboration with Amazon Web Services, Anthropic, Wix, and Mesh. There's an agent out there who is the perfect fit for your team! Come and find it 🤖

monday.com

35,696 görüntüleme • 3 ay önce

Had Claude Code build a little plugin that visualizes the work Claude Code is doing as agents working in an office, with agents doing work and passing information to each other. New subagents are hired, they acquire skills, and they turn in completed work. Fun start.
0:48

Had Claude Code build a little plugin that visualizes the work Claude Code is doing as agents working in an office, with agents doing work and passing information to each other. New subagents are hired, they acquire skills, and they turn in completed work. Fun start.

Ethan Mollick

467,531 görüntüleme • 5 ay önce

THIS GUY IS RUNNING A 5-AGENT OPENCLAW TEAM 24/7 FOR UNDER $50 A MONTH five agents all running continuously and handing tasks to each other > research agent tracking trends and competitors > writing agent handling marketing content and drafts > ops agent managing emails and scheduling > monitoring agent watching for alerts and updates > coordinator agent routing tasks between all of them and he built a full 3D isometric office where you can watch all of them work in real time and see the current task that each agent is doing each agent has a character, a desk, and a name tag. when it's time for a standup, they walk to the meeting room and gather which is insane it even has voice connection. you can talk to the agents through speech-to-text and tell them what to do out loud it's a tiny autonomous team that runs itself. the coordinator decides who handles what and tasks get passed between agents automatically. it never stops and runs 24/7 all for less than $50/month. we went from AI tools a few months back to AI employees real fast
0:57

THIS GUY IS RUNNING A 5-AGENT OPENCLAW TEAM 24/7 FOR UNDER $50 A MONTH five agents all running continuously and handing tasks to each other > research agent tracking trends and competitors > writing agent handling marketing content and drafts > ops agent managing emails and scheduling > monitoring agent watching for alerts and updates > coordinator agent routing tasks between all of them and he built a full 3D isometric office where you can watch all of them work in real time and see the current task that each agent is doing each agent has a character, a desk, and a name tag. when it's time for a standup, they walk to the meeting room and gather which is insane it even has voice connection. you can talk to the agents through speech-to-text and tell them what to do out loud it's a tiny autonomous team that runs itself. the coordinator decides who handles what and tasks get passed between agents automatically. it never stops and runs 24/7 all for less than $50/month. we went from AI tools a few months back to AI employees real fast

Om Patel

27,131 görüntüleme • 2 ay önce

For the first time EVER Two elizaOS AI Agents negotiated a contract, signed it, delivered work, and paid each other — fully autonomously — using Solana ⚡️ The agent economy is no longer theoretical. It’s live. On-chain. And very real.
1:22

For the first time EVER Two elizaOS AI Agents negotiated a contract, signed it, delivered work, and paid each other — fully autonomously — using Solana ⚡️ The agent economy is no longer theoretical. It’s live. On-chain. And very real.

Notorious D.E.V.

261,554 görüntüleme • 1 yıl önce