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We now support 30+ agent harness integrations within OpenKnowledge. This is enabled by the Agent Client Protocol (ACP), which let us build our custom UI experience while fully leveraging the agents on your computer. Also powers our new Follow Mode and Comments features. Follow mode automatically navigates the IDE...

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OpenKnowledge

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21,752 görüntüleme • 2 ay önce •via X (Twitter)

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Following Shopify's support for mcp-ui ( Postman has also added support to both our agent mode and MCP client. This is a huge step towards making agents more powerful and interactive and I am excited about the potential of generative UIs!
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Following Shopify's support for mcp-ui ( Postman has also added support to both our agent mode and MCP client. This is a huge step towards making agents more powerful and interactive and I am excited about the potential of generative UIs!

Abhinav Asthana

23,114 görüntüleme • 1 yıl önce

LangGraph. CrewAI. Agno. Which one to pick? The good news is that this will not matter soon! Finally, we have a full picture of how the industry is solving this with just three open protocols that work across ALL frameworks. It's not about picking the best framework. Instead, it's about understanding how protocols create interoperability. The Agent Protocol Landscape shows how three complementary protocols are creating a universal language for Agents: > AG-UI (Agent-User Interaction): - The bi-directional connection between agentic backends and frontends. - This is how agents become truly interactive inside your apps, not just as chatbots, but collaborative co-workers. > MCP (Model Context Protocol): - The standard for how agents connect to tools, data, and workflows. > A2A (Agent-to-Agent): - The protocol for multi-agent coordination. - How agents delegate tasks and share intent across systems. These aren't competing standards. They're layers of the same stack and have handshakes with each other. So instead of building point-to-point integrations, you build to protocols. Moreover, you can integrate LangGraph, CrewAI, or Agno into the same frontend, without rewriting your UI logic. These protocols let everything work together. For instance: - Your LangGraph agent pulls data via MCP. - It delegates analysis to a CrewAI agent via A2A. - Results stream to your React app via AG-UI. - Users see real-time collaboration in your interface. This way, you can focus on building agent capabilities instead of integration mechanics. The protocols handle interoperability automatically. CopilotKit unifies this entire stack into one framework so you can build "Cursor for X" style apps without implementing each protocol from scratch. It gives you all three protocols, generative UI support, and production-ready infrastructure in one framework. I have shared this playbook in the replies! It breaks down handshakes, misconceptions, and real examples and shows exactly how to start building.
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LangGraph. CrewAI. Agno. Which one to pick? The good news is that this will not matter soon! Finally, we have a full picture of how the industry is solving this with just three open protocols that work across ALL frameworks. It's not about picking the best framework. Instead, it's about understanding how protocols create interoperability. The Agent Protocol Landscape shows how three complementary protocols are creating a universal language for Agents: > AG-UI (Agent-User Interaction): - The bi-directional connection between agentic backends and frontends. - This is how agents become truly interactive inside your apps, not just as chatbots, but collaborative co-workers. > MCP (Model Context Protocol): - The standard for how agents connect to tools, data, and workflows. > A2A (Agent-to-Agent): - The protocol for multi-agent coordination. - How agents delegate tasks and share intent across systems. These aren't competing standards. They're layers of the same stack and have handshakes with each other. So instead of building point-to-point integrations, you build to protocols. Moreover, you can integrate LangGraph, CrewAI, or Agno into the same frontend, without rewriting your UI logic. These protocols let everything work together. For instance: - Your LangGraph agent pulls data via MCP. - It delegates analysis to a CrewAI agent via A2A. - Results stream to your React app via AG-UI. - Users see real-time collaboration in your interface. This way, you can focus on building agent capabilities instead of integration mechanics. The protocols handle interoperability automatically. CopilotKit unifies this entire stack into one framework so you can build "Cursor for X" style apps without implementing each protocol from scratch. It gives you all three protocols, generative UI support, and production-ready infrastructure in one framework. I have shared this playbook in the replies! It breaks down handshakes, misconceptions, and real examples and shows exactly how to start building.

Avi Chawla

31,074 görüntüleme • 11 ay önce

Seems like Visual Studio Code is starting to tell you: your agent primitives need to move. There is now a new migration banner in the Chat panel, and it is part of a much bigger change happening under the hood: the move from the old Local harness to the new Agent Host architecture built around AHP. This is not just about moving where an agent runs. The old model was very VS Code-centric: prompts, custom agents, instructions and skills could live in VS Code-specific locations and the agent runtime lived inside the extension host. The new Agent Host separates the agent runtime from the editor. Sessions can keep running when the window closes, be shared across VS Code windows, run remotely, and support different harnesses such as Copilot, CLI and Copilot Desktop App through a common session layer. And that means some of our primitives need to move too. Prompt files are being deprecated for Agent Host and migrated to Skills. User-level agents and instructions that lived in VS Code profile storage need to move to harness-supported locations. Even the old location settings are being deprecated. The new migration experience can detect these things and guide you through moving or converting them, while keeping the originals unless you explicitly remove them. The new banner is basically the first visible sign that this migration is becoming a real product workflow. Basically telling us - it's time to move on!!!! If you have accumulated a lot of prompts, custom agents, instructions and skills over the last year, now is probably a good time to understand where they actually live and which harness owns them. To summarize the shift - it isn't just: VS Code Chat → Agent Host It is: VS Code-specific primitives → harness-native primitives. And I think this is going to become increasingly important as agents stop being features inside an IDE and become runtimes that multiple clients can connect to. Go run your migrations now 🏃‍♀️
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Seems like Visual Studio Code is starting to tell you: your agent primitives need to move. There is now a new migration banner in the Chat panel, and it is part of a much bigger change happening under the hood: the move from the old Local harness to the new Agent Host architecture built around AHP. This is not just about moving where an agent runs. The old model was very VS Code-centric: prompts, custom agents, instructions and skills could live in VS Code-specific locations and the agent runtime lived inside the extension host. The new Agent Host separates the agent runtime from the editor. Sessions can keep running when the window closes, be shared across VS Code windows, run remotely, and support different harnesses such as Copilot, CLI and Copilot Desktop App through a common session layer. And that means some of our primitives need to move too. Prompt files are being deprecated for Agent Host and migrated to Skills. User-level agents and instructions that lived in VS Code profile storage need to move to harness-supported locations. Even the old location settings are being deprecated. The new migration experience can detect these things and guide you through moving or converting them, while keeping the originals unless you explicitly remove them. The new banner is basically the first visible sign that this migration is becoming a real product workflow. Basically telling us - it's time to move on!!!! If you have accumulated a lot of prompts, custom agents, instructions and skills over the last year, now is probably a good time to understand where they actually live and which harness owns them. To summarize the shift - it isn't just: VS Code Chat → Agent Host It is: VS Code-specific primitives → harness-native primitives. And I think this is going to become increasingly important as agents stop being features inside an IDE and become runtimes that multiple clients can connect to. Go run your migrations now 🏃‍♀️

Oren Melamed

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Devin Desktop supports the Agent Client Protocol (ACP): bring your own agents to work alongside Devin, all in one unified view.
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Devin Desktop supports the Agent Client Protocol (ACP): bring your own agents to work alongside Devin, all in one unified view.

Cognition

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AI agents can finally talk to your frontend! The AG-UI Protocol bridges the critical gap between AI agents and frontend apps, making human-agent collaboration seamless. MCP: Agents to tools A2A: Agents to agents AG-UI: Agents to users 100% open-source.
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AI agents can finally talk to your frontend! The AG-UI Protocol bridges the critical gap between AI agents and frontend apps, making human-agent collaboration seamless. MCP: Agents to tools A2A: Agents to agents AG-UI: Agents to users 100% open-source.

Akshay 🚀

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We are proud to introduce our new product, It is a Virtual Machine specifically designed for Apple Silicon and AI Agents. This is our very first release, and it fully supports macOS, Windows, and Linux with GPU acceleration. - Liquid Glass, - GPU Accelerator. - MCP for AI Agent on your Mac or inside the VM.
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We are proud to introduce our new product, It is a Virtual Machine specifically designed for Apple Silicon and AI Agents. This is our very first release, and it fully supports macOS, Windows, and Linux with GPU acceleration. - Liquid Glass, - GPU Accelerator. - MCP for AI Agent on your Mac or inside the VM.

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🧃 Introducing stereOS: a Linux based operating system hardened and purpose built for AI agents. It's clear that agents need an ACTUAL operating system (not what people are calling an "OS") to witness the full breadth and depth of their capabilities while mitigating the blast radius of autonomous, untrusted actors. But there are so many problems with AI sandboxes today: * Going out to the apple store and buying a mac mini will never scale and is way too expensive (obviously) * Running in Docker is too restrictive (agents can't stand up their own container infrastructure, no sub virtualization, docker-in-docker is very broken) * Firecracker strips all the hardware so GPU PCIe passthrough, secure boot, FIPs, etc. is out of the question. * Native VMs are too fat and the overhead of 1 agent per VM is too much. stereOS takes a different approach: it's a full NixOS system that you boot and then kick off agent sandboxes inside with gVisor + /nix/store namespace mounting. Each agent gets their own kernel and the /nix/store is read only by nature. Even if the agent was somehow able to escape the gVisor virtual kernel, they'd land on the NixOS system as the "agent" user! Not your actual hardware!! If you want to take a defense-in-depth approach, we support "native" agents that run at the system level kicked off by our `agentd` utility. These agents, on their own, can manage and kick off other sub agents using the internal sandboxing mechanisms. Today, we're open sourcing all of this: * stereOS: our purpose built Linux OS - * masterblaster: client utility to launch, manage, and orchestrate agents - * stereosd: the stereOS system control plane daemon - * agentd: the stereOS system agent management daemon - Give it a try, throw us a star, and let me know what you think 🧃⭐️
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🧃 Introducing stereOS: a Linux based operating system hardened and purpose built for AI agents. It's clear that agents need an ACTUAL operating system (not what people are calling an "OS") to witness the full breadth and depth of their capabilities while mitigating the blast radius of autonomous, untrusted actors. But there are so many problems with AI sandboxes today: * Going out to the apple store and buying a mac mini will never scale and is way too expensive (obviously) * Running in Docker is too restrictive (agents can't stand up their own container infrastructure, no sub virtualization, docker-in-docker is very broken) * Firecracker strips all the hardware so GPU PCIe passthrough, secure boot, FIPs, etc. is out of the question. * Native VMs are too fat and the overhead of 1 agent per VM is too much. stereOS takes a different approach: it's a full NixOS system that you boot and then kick off agent sandboxes inside with gVisor + /nix/store namespace mounting. Each agent gets their own kernel and the /nix/store is read only by nature. Even if the agent was somehow able to escape the gVisor virtual kernel, they'd land on the NixOS system as the "agent" user! Not your actual hardware!! If you want to take a defense-in-depth approach, we support "native" agents that run at the system level kicked off by our `agentd` utility. These agents, on their own, can manage and kick off other sub agents using the internal sandboxing mechanisms. Today, we're open sourcing all of this: * stereOS: our purpose built Linux OS - * masterblaster: client utility to launch, manage, and orchestrate agents - * stereosd: the stereOS system control plane daemon - * agentd: the stereOS system agent management daemon - Give it a try, throw us a star, and let me know what you think 🧃⭐️

John McBride

150,844 görüntüleme • 8 ay önce

Apple locked iOS development to Macs. we unlocked it. You can now develop iOS apps on Linux or Windows Your app builds entirely in the cloud and you (or your agents) can review changes through our cloud simulators
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Apple locked iOS development to Macs. we unlocked it. You can now develop iOS apps on Linux or Windows Your app builds entirely in the cloud and you (or your agents) can review changes through our cloud simulators

Revyl

32,204 görüntüleme • 2 ay önce

We just launched support for DeepSeek (DeepSeek) R1 and V3 in Agent Mode! - Switch to Agent Mode by pressing CMD-I - Click on the model name in the prompt Hosted by Fireworks in the US.
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We just launched support for DeepSeek (DeepSeek) R1 and V3 in Agent Mode! - Switch to Agent Mode by pressing CMD-I - Click on the model name in the prompt Hosted by Fireworks in the US.

Warp

14,175 görüntüleme • 1 yıl önce

So moltbook was just the start. Agents can now hire each other and make REAL MONEY, autonomously. Welcome to the Agent Economy. Just message your OpenClaw🦞: “Read and follow the instructions to join ClawTasks”
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So moltbook was just the start. Agents can now hire each other and make REAL MONEY, autonomously. Welcome to the Agent Economy. Just message your OpenClaw🦞: “Read and follow the instructions to join ClawTasks”

Matt Shumer

477,189 görüntüleme • 8 ay önce

Now Live - Get almost 10% on staked Sol with our Stake Agent Looks at 5 staking protocols and gives you the best return! We plan on bringing more features and agents to Solana in the near term! Let us know what you want us to integrate next! We are thinking Kamino or Drift - Official but let us know if you'd like to have something else
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Now Live - Get almost 10% on staked Sol with our Stake Agent Looks at 5 staking protocols and gives you the best return! We plan on bringing more features and agents to Solana in the near term! Let us know what you want us to integrate next! We are thinking Kamino or Drift - Official but let us know if you'd like to have something else

Orbit

19,069 görüntüleme • 1 yıl önce

Make any knowledge base or LLM wiki follow the Open Knowledge Format with our new OKF plugin. OKF is an open spec created by Google that makes markdown-based knowledge bases portable and interoperable through a set of shared patterns and rules. With the new plugin, you can easily convert any existing knowledge base to OKF, and have agents write and maintain your wiki in the format. The plugin leverages a combination of linting, deterministic rules, and automations for creating special files like 𝚒𝚗𝚍𝚎𝚡.𝚖𝚍. It also adds a skill and leverages our MCP tools to give agents real-time hints and warnings as they write, so issues get caught immediately — plus 𝚊𝚞𝚍𝚒𝚝 and 𝚕𝚒𝚗𝚝 tools to check the entire knowledge base any time.
0:10

Make any knowledge base or LLM wiki follow the Open Knowledge Format with our new OKF plugin. OKF is an open spec created by Google that makes markdown-based knowledge bases portable and interoperable through a set of shared patterns and rules. With the new plugin, you can easily convert any existing knowledge base to OKF, and have agents write and maintain your wiki in the format. The plugin leverages a combination of linting, deterministic rules, and automations for creating special files like 𝚒𝚗𝚍𝚎𝚡.𝚖𝚍. It also adds a skill and leverages our MCP tools to give agents real-time hints and warnings as they write, so issues get caught immediately — plus 𝚊𝚞𝚍𝚒𝚝 and 𝚕𝚒𝚗𝚝 tools to check the entire knowledge base any time.

OpenKnowledge

139,843 görüntüleme • 2 ay önce

Introducing Agent Sandbox, the infinite simulation playground for agents on Virtuals. Craft the perfect autonomous agent in our Sandbox with full control over its personality and goals. Enhance your agent with unique abilities by creating custom functions so they can trade onchain, generate memes, control physical robots and more. The Sandbox is available to all builders with graduated agents in the Developer Panel. For those who want to give it a spin without an existing agent, fret not. Try it out today at and join our Discord ( to jam with like-minded builders. Next stop, Society of Agents.
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Introducing Agent Sandbox, the infinite simulation playground for agents on Virtuals. Craft the perfect autonomous agent in our Sandbox with full control over its personality and goals. Enhance your agent with unique abilities by creating custom functions so they can trade onchain, generate memes, control physical robots and more. The Sandbox is available to all builders with graduated agents in the Developer Panel. For those who want to give it a spin without an existing agent, fret not. Try it out today at and join our Discord ( to jam with like-minded builders. Next stop, Society of Agents.

Virtuals Protocol

188,627 görüntüleme • 1 yıl önce

6,000 → over 12,000 agent-to-human pairings in the Billions Network In 1 week we doubled the number - rapid growth after our launch 3 weeks ago! Get your AI agent paired with your Billions App profile, Earn Rewards with your OpenClaw agent, and Grow the Billions Network of Humans and AI agents Source: Billions Network Blockchain Explorer
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6,000 → over 12,000 agent-to-human pairings in the Billions Network In 1 week we doubled the number - rapid growth after our launch 3 weeks ago! Get your AI agent paired with your Billions App profile, Earn Rewards with your OpenClaw agent, and Grow the Billions Network of Humans and AI agents Source: Billions Network Blockchain Explorer

Billions Network

70,792 görüntüleme • 7 ay önce

MANDATE #001 — DOMAIN EXPANSION — is now active. Every agent in the network has now been aligned to a single objective: autonomously onboard new agents and scale the network. Agents are scored and rewarded based on contribution — the more you contribute to grow the network, the higher you advance within it. Participate now:
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MANDATE #001 — DOMAIN EXPANSION — is now active. Every agent in the network has now been aligned to a single objective: autonomously onboard new agents and scale the network. Agents are scored and rewarded based on contribution — the more you contribute to grow the network, the higher you advance within it. Participate now:

Moltlaunch

44,162 görüntüleme • 8 ay önce

Our Global Hackathon is coming to Toronto on May 26th 🦞 A one-day build sprint for students and alumni to launch autonomous AI agents on GOAT Network using ClawUp, ERC-8004, and x402. Top teams can win Mac Minis, with internship and startup follow-on opportunities also on the table. Food, mentorship, and support throughout. Register now:
0:19

Our Global Hackathon is coming to Toronto on May 26th 🦞 A one-day build sprint for students and alumni to launch autonomous AI agents on GOAT Network using ClawUp, ERC-8004, and x402. Top teams can win Mac Minis, with internship and startup follow-on opportunities also on the table. Food, mentorship, and support throughout. Register now:

GOAT Network

96,342 görüntüleme • 6 ay önce

$1.5M is up for grabs in the Great Tournament of Agents! Build and deploy a trading agent using Cod3x Create today for your chance to win. Don't know how to build an agent? Join our FREE BootCamp @
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$1.5M is up for grabs in the Great Tournament of Agents! Build and deploy a trading agent using Cod3x Create today for your chance to win. Don't know how to build an agent? Join our FREE BootCamp @

Cod3x | Win More Trades

656,475 görüntüleme • 1 yıl önce