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AI agents and automation

ruflo

by ruvnet

Ruflo is a layer that sits around Claude Code, Codex and other MCP-enabled AI coding tools. It lets them run teams of coordinated agents that share memory and learn from earlier tasks.

Worth a lookEstablished, with a few things to check (listed below).

View on GitHubProject website

Stars
79.6k +148 a day
Licence
MIT
Runs on
Your computer
Setup
Moderate
Language
TypeScript
Age
511 days

What you can do with it

  • Run groups of specialised AI agents that work together on coding tasks inside Claude Code or Codex
  • Keep memory across sessions so agents reuse what worked before
  • Track agents, workflows, token use and cost in a terminal or Claude Code dashboard

Make money with it

A freelance developer could use agent teams to deliver client coding projects faster, or offer AI-assisted build and maintenance services.

An idea, not financial advice. Check the licence before charging for anything built on it.

Ways a business could use it

  • Speed up software development by letting several AI agents handle coding, testing and review in parallel
  • Cut repeated work and token spend by reusing stored memory and monitoring the cost of agent runs

Can you use it commercially?

Free to use, change and sell, including in paid products. Keep the copyright notice.

Not legal advice. Read the project's licence file before building a product on it.

Getting it running

Install it as Claude Code plugins with the /plugin commands, or run "npx ruflo@latest init wizard" in your project and connect your client to its MCP server.

Follow the official instructions in the project README.

Things to check

  • Needs access to Claude Code, Codex or other paid AI model providers, so running costs apply
  • Mods run with your account's permissions, so review their code before installing
  • Large and complex, with 300+ MCP tools and fast-moving claims that are hard to verify
  • Some features such as learning still need embeddings and configured modules

Who's talking about it

Checked 27 Oct 2026. Summary drafted by AI from the project's README.

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