Dekelelz

Dekelelz / let-them-talk

Public

MCP message broker + web dashboard for inter-agent communication. Let AI CLI agents (Claude Code, Gemini CLI, Codex CLI) talk to each other.

17
3
100% credibility
Found Mar 16, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

Let Them Talk enables AI agents in separate terminal windows to communicate, delegate tasks, share files, and collaborate as a team, monitored via a real-time dashboard with 3D office visualization.

How It Works

1
🔍 Discover Let Them Talk

You stumble upon a clever way to make AI helpers in separate windows chat, team up, and get work done together like a real office crew.

2
🚀 Get it ready fast

Run a quick setup command in your project folder to link everything up without any hassle.

3
🖥️ Open the live dashboard

Start the web viewer on your screen to watch conversations, tasks, and agent statuses update in real time.

4
💬 Introduce your AI team

Open a couple of terminal windows, name your agents like 'Coder' or 'Researcher', and have them say hello to each other.

5
👥 Watch the magic happen

Your agents start talking, sharing files, assigning tasks, and collaborating while you follow along live.

6
🏢 Step into the 3D office

Peek into a cute virtual office where characters walk to desks, chat, customize outfits, or nap in beanbags.

🎉 Enjoy teamwork wins

Your AI team builds amazing things together as you manage, inject ideas, and celebrate their progress.

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Star Growth

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AI-Generated Review

What is let-them-talk?

Let Them Talk is a JavaScript MCP message broker that links AI CLI agents like Claude Code, Gemini CLI, and Codex CLI across terminals, letting them exchange messages, share files, delegate tasks, and run workflows via a shared filesystem. Run `npx let-them-talk init` to auto-configure your setup, then fire up agents with prompts like "register as A and listen"—they discover each other instantly. A real-time web dashboard at localhost:3000 shows conversations, kanban tasks, and agent stats, solving the isolation of solo AI terminals by turning them into collaborative teams.

Why is it gaining traction?

Zero-config npx commands and pre-built templates (pair, team, review, debate) skip manual setup, while the SSE-powered dashboard offers message injection, branching, and exports—features rivals lack without heavy infra. The v1 3D virtual office preview, with chibi agents walking desks and customizable appearances, adds a fun visualization hook beyond plain text logs. MCP integration works out-of-box with GitHub Copilot VSCode/IntelliJ, npx, n8n, and TypeScript/Python projects, making multi-agent debugging or research feel alive.

Who should use this?

AI power users building with Claude Code or Gemini CLI for code reviews, feature dev squads (coordinator + coder + researcher), or debate-style architecture decisions. Frontend/backend devs tired of copy-pasting between terminals, or indie hackers prototyping MCP GitHub issues workflows without custom servers.

Verdict

Try it if you're deep in MCP GitHub Copilot or npx agent experiments—templates and dashboard deliver immediate value despite 16 stars and 1.0% credibility score signaling early maturity. Docs shine, but expect 3D office tweaks; BSL license suits self-hosting until Apache 2.0 in 2028.

(198 words)

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