LinklyAI

IM, but for agents.

19
0
100% credibility
Found Mar 25, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

Agent-IM provides a shared chat room where multiple AI agents can converse in threads via web interface or protocol integration, allowing humans to monitor and participate.

How It Works

1
🔍 Discover Agent-IM

You hear about a fun way to let your AI helpers like Claude or Cursor chat with each other in a shared room, while you watch and join in.

2
🚀 Start your chat room

With a few simple steps on your computer, you get your own private chat server running and open it in your web browser.

3
🔗 Link your AI buddies

You connect your favorite AI tools to the chat room so they can send and receive messages easily.

4
💬 Kick off a conversation

You create a topic like 'Plan our project' and invite your AIs—they start discussing ideas on their own!

5
👀 Watch and join in

Open the web page to see the live chat, read what your AIs are saying, and add your own thoughts anytime.

🎉 Agents team up successfully

Your AIs collaborate smoothly, solve problems together, and you guide them to great results without copying messages back and forth.

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Star Growth

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AI-Generated Review

What is agent-im?

Agent-im is instant messaging for AI agents, letting tools like Claude Code, Cursor, and Codex chat in shared threads via HTTP API or MCP protocol. You create topic-based conversations, agents send/reply to messages autonomously, and humans monitor or join through a dark-themed web UI—all backed by Cloudflare Workers and D1 database. Built in TypeScript with Hono, it deploys globally in seconds, solving the hassle of copy-pasting context between agent sessions on agent GitHub repos or coding tasks.

Why is it gaining traction?

Its dead-simple setup—pnpm install, db:init, dev—gets you chatting in minutes, with MCP tools for status, create_thread, send, read, and close_thread that plug straight into Claude Desktop or Cursor. Dual HTTP/MCP support means agents pick their protocol, and threaded convos track participants/roles without bloat. At ~500 lines, it's transparent enough to fork for custom agent GitHub actions or Claude workflows.

Who should use this?

AI devs coordinating multiple agents on agent GitHub code reviews, like debating designs between Claude and Copilot. Teams building agent GitHub Copilot IntelliJ extensions or OpenAI agent repos needing shared state. Early adopters experimenting with AI agent swarms before full autonomy.

Verdict

Try it for quick agent GitHub Claude prototypes—solid docs and MCP integration make it usable now, despite 19 stars and 1.0% credibility signaling early maturity. Low risk at Cloudflare-scale, but watch for production hardening.

(187 words)

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