rhnvrm

rhnvrm / pi-mesh

Public

Multi-agent coordination for Pi - presence, messaging, file reservations

53
0
100% credibility
Found Feb 17, 2026 at 42 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

pi-mesh enables multiple Pi AI coding agents to discover each other, reserve files to avoid conflicts, exchange messages, and track activities using simple local files.

How It Works

1
🔍 Discover Team Coordination

You hear about a simple way to make multiple AI coding helpers work together on your project without getting in each other's way.

2
📦 Add the Helper

You easily add this coordination tool to your project with a quick install command.

3
⚙️ Simple Setup

You place a short note in your project folder telling the tool to automatically connect helpers when they start.

4
🚀 Start Your Helpers

You launch a couple of AI sessions in the same folder, and they instantly notice each other and share what they're doing.

5
👥 Team Up Smoothly

You see who's active, claim parts of the code to work on safely, and send quick notes or urgent alerts between helpers.

6
📱 Open the Dashboard

You pull up a handy screen showing all helpers' status, recent actions, and a chat to coordinate effortlessly.

✅ Perfect Collaboration

Your AI team works in harmony, avoiding conflicts and finishing your project faster and smoother than ever.

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Star Growth

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AI-Generated Review

What is pi-mesh?

pi-mesh is a TypeScript library for coordinating multiple Pi coding agents in the same project, handling presence detection, file reservations, and direct messaging without any daemons or servers—just files on disk in `.pi/mesh/`. It solves the chaos of agents overwriting each other's edits or working blindly by letting you list peers with `mesh_peers`, claim paths like `src/auth/` via `mesh_reserve`, and ping others with `mesh_send` (urgent mode interrupts). Open `/mesh` for a tabbed overlay showing agents, activity feed, and chat with @mentions.

Why is it gaining traction?

Unlike heavier multi-agent coordination frameworks on GitHub (think LangGraph or Claude setups), pi-mesh is dead simple for Pi users—no setup beyond a JSON config, auto-registration, and hooks into Pi's edit/write tools to block conflicts. Developers dig the real-time status ("debugging...", "on fire"), PID-checked liveness, and polite/urgent messaging that queues or steers without polling. It's a lightweight backbone for LLM-driven multi-agent workflows, echoing meshtastic-style mesh networks but for codebases.

Who should use this?

Pi powerusers running parallel agents on shared repos, like AI teams refactoring monorepos or solo devs simulating multi-agent orchestration with Copilot-like setups. Ideal for backend engineers coordinating RL agents (PPO/SAC experiments) or frontend folks avoiding file thrash during rapid iterations. Skip if you're not deep in Pi or need cross-container support.

Verdict

Grab it if you're building multi-agent Pi flows—39 stars and 1.0% credibility scream early days, with docs solid but no tests visible, yet the file-based protocol delivers instantly. Maturity lags for prod, but it's a smart coord hack worth forking.

(198 words)

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