phodal

phodal / routa

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Build your Agent Team - Multi-agent coordination platform — parses intent to structured Spec, routes via MCP/ACP/A2A protocols, supports Claude Code/OpenCode/Gemini with unified context

routa-js.vercel.app
67
8
100% credibility
Found Feb 25, 2026 at 18 stars 4x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Routa coordinates multiple specialized AI agents to collaboratively plan, implement, and verify complex software development tasks.

How It Works

1
🔍 Discover Routa

You find Routa, a friendly app that teams up smart AI helpers to tackle your coding projects together.

2
📥 Launch the app

Download and open the desktop program, and it welcomes you with a simple setup.

3
📁 Pick your project

Bring in your code folder or start a fresh workspace to begin working.

4
💭 Describe your goal

Type what you want done, like 'build a login page', and the magic starts.

5
🤝 See agents team up

Watch the planner organize, builder code, and checker review in real time.

6
👀 Review the work

Check the changes, make tweaks if needed, and give the thumbs up.

🎉 Project updated!

Your code is improved exactly as you wanted, ready to use.

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Star Growth

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AI-Generated Review

What is routa?

Routa is a multi-agent coordination platform that parses natural language into structured specs and tasks, then routes them across specialized AI agents using MCP, ACP, and A2A protocols. It supports Claude Code, OpenCode, Gemini, and more with unified context sharing, enabling roles like coordinator (planning), crafter (coding), and gate (verification) to collaborate on dev tasks. Built as a Tauri desktop app with Rust core and TypeScript frontend, it offers real-time UI for task delegation, messaging, and progress tracking.

Why is it gaining traction?

In a sea of single-agent tools and graph frameworks like LangGraph on GitHub, Routa stands out with protocol-based federation for cross-platform agents, plus an ACP registry for one-click installs of community skills. Devs get live streaming chats, event buses, and trace logs without wiring up stdio or SSE themselves—perfect for multi-agent coordination strategies akin to reinforcement learning approaches. Its CLI for raw RPC calls hooks experimenters fast.

Who should use this?

AI workflow builders prototyping multi-agent GitHub Copilot alternatives, backend teams chaining Claude for planning and Gemini for verification, or researchers testing multi-agent pathfinding and flow-matching in codebases. Suited for devs seeking a coordination backbone with LLM engines over solo agents or custom orchestration.

Verdict

Early alpha with 18 stars and 1.0% credibility—solid README and Docker setup, but sparse tests and no broad adoption yet. Prototype for claude multi-agent GitHub experiments; skip for production until maturity grows.

(187 words)

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