Q00

Q00 / agent-project

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Two Agent built their own collaboration protocol overnight without me

www.reddit.comropenclawcomments1rbp25bi_left_two_ai_agents_alone_in_a_discord_channel
27
2
69% credibility
Found Feb 23, 2026 at 21 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

A proof-of-concept tool for coordinating AI agent sessions to maintain context across restarts, prevent duplicate work, and manage concurrent tasks safely using local storage.

How It Works

1
📖 Discover the agent coordinator

You hear about this helpful tool from collaborators facing issues where AI helpers lose track of their work when restarting or working together.

2
💻 Bring it to your computer

You download the project files to your machine, ready to make your AI helpers more reliable.

3
🛠️ Prepare the workspace

You follow simple steps to organize everything, creating a safe spot to track your helpers' progress.

4
🧪 Run the reliability check

You launch the built-in tests that simulate real scenarios, watching as it proves no lost work or mix-ups happen.

5
✅ Celebrate passing tests

You see the message 'ALL TESTS PASSED,' confirming your setup handles restarts and teamwork perfectly.

🤝 Agents collaborate smoothly

Now your AI helpers on different machines share tasks without duplication or loss, keeping everything flowing reliably.

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Star Growth

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AI-Generated Review

What is agent-project?

This agent project on GitHub is a JavaScript orchestrator for coordinating AI agents like company-agent and home-agent across machines. It handles task claiming, heartbeats, releases, and stale recovery via simple APIs, using local SQLite for durable state to prevent duplicates, lost context, or concurrency crashes. Run `npm install`, `npm run init-db`, and `npm test` to verify it works instantly.

Why is it gaining traction?

Unlike basic queues, it enforces locks with TTLs and auto-recovery, plus metrics and alerts for retries, dead letters, and orphans – users see zero-fluff ops visibility. Devs love the origin story: two agents built their collaboration protocol overnight, with bilingual docs and concurrency benchmarks proving resilience. It's a practical agent project template beating ad-hoc scripts in multi-agent setups.

Who should use this?

AI devs prototyping langgraph multi agent project github or llm agent project github needing agent project management without restarts killing workflows. Ideal for langchain agent project github users handoff tasks in rag agent project github or multi ai agent project github, or anyone templating agent project structure for distributed agent projector flows.

Verdict

Solid Phase 1 starter for github agent projects – clone, test, extend to Postgres for prod. 19 stars and 0.699999988079071% credibility score signal early maturity, but comprehensive tests and docs make it reliable now.

(198 words)

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