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ruvnet/ruflo

🔥 Hot52,794TypeScriptAudience · developerComplexity · 4/5ActiveLicenseSetup · moderate

TLDR

Multi-agent orchestration platform that coordinates specialized AI agents to tackle large software projects, with persistent memory and learning across sessions.

Mindmap

mindmap
  root((Ruflo))
    What it does
      Agent routing
      Swarm coordination
      Shared memory
    Key features
      RAG integration
      Federation support
      30+ plugins
    Use cases
      Large codebases
      Complex projects
      Long-term learning
    Tech stack
      TypeScript
      Node.js
      Claude API
    Audience
      AI-assisted developers
      Large project teams

Things people build with this

USE CASE 1

Coordinate multiple AI agents to work on different parts of a large codebase simultaneously while sharing context.

USE CASE 2

Build test suites, perform security audits, and automate browser tasks using specialized agent plugins.

USE CASE 3

Maintain persistent memory of project decisions and patterns across multiple AI sessions to improve consistency.

USE CASE 4

Deploy federated agents across machines to collaborate on complex software projects that exceed single-conversation limits.

Tech stack

TypeScriptNode.jsClaude APIOpenAI Codex

Getting it running

Difficulty · moderate Time to first run · 30min

Requires API keys for Claude and OpenAI; Node.js environment setup needed.

Use freely for any purpose including commercial, as long as you keep the copyright notice.

In plain English

Ruflo (formerly Claude Flow) is a multi-agent orchestration platform designed to work alongside Claude Code, Anthropic's AI coding assistant. The problem it solves is that when you want to use AI to tackle large, complex software projects, a single AI conversation can only do so much, it has a limited context window and no persistent memory between sessions. Ruflo adds a coordination layer on top of Claude Code that lets you deploy swarms of specialized AI agents, have them collaborate on different parts of a problem simultaneously, and accumulate shared memory and learning across sessions. The core concept is a routing system: when you run a task, Ruflo's router assigns it to the most appropriate specialized agent (or a team of agents), those agents complete their sub-tasks, the results feed back into a shared memory store, and the system learns from what worked well to improve future task assignments. This is sometimes called a "swarm" architecture, many agents self-organizing to handle a big goal that would be too large for a single conversation. The README describes it as giving Claude Code a "nervous system." Features include RAG integration (retrieval-augmented generation, meaning agents can query a knowledge base to ground their responses in relevant past information), federation (agents on different machines can collaborate), and 30+ plugins covering areas like test generation, security auditing, browser automation, and local LLM support. You would use Ruflo when working on large codebases where you want AI assistance that accumulates context over time, coordinates multiple specialized agents, and produces consistent results across long projects. The platform is built in TypeScript, runs in Node.js, connects to Claude via its API, and is installed with npx. It also supports integration with OpenAI's Codex.

Copy-paste prompts

Prompt 1
Set up Ruflo with Claude Code to orchestrate agents for my large TypeScript project. How do I define specialized agents and configure the router?
Prompt 2
I need to generate tests and audit security across my codebase. Which Ruflo plugins should I enable and how do I chain them together?
Prompt 3
Show me how to use Ruflo's RAG integration to let agents query past project decisions and apply learned patterns to new tasks.
Prompt 4
How do I deploy Ruflo agents across multiple machines so they can federate and collaborate on a distributed system?
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.