ruvnet/ruflo
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Older snapshot: check the original source for current information.
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
An agent meta-harness for Claude Code and Codex. [](https://www.npmjs.com/package/ruflo) [](https://opensource.org/licenses/MIT) [](https://github.com/ruvnet/claude-flow) [](https://x.com/rUv) Start in Claude Code with core tools, the visual console and runtime mods. Requires Claude Code 2.1.287 or later. Run inside Claude Code: Core provides foundation tools. Console opens the agent cockpit. Mods add routing and policy enforcement inside Claude Code. Mods run with your account's permissions; review their code before installing. Using Codex or another MCP enabled tool? Use NPX for Ruflo project setup and connect your client to the Ruflo MCP server. Run the setup wizard in your project terminal: For clients that support local stdio MCP servers, configure command npx and arguments ["-y", "ruflo@latest", "mcp", "start"]. The equivalent server command is: MCP exposes Ruflo tools to your client. The console and mods above are Claude Code integrations; hook support depends on the client. Prefer a plain terminal? Optional. The console also runs on its own,…
Read the full README ↗ · Preview checked 2026-10-30T14:40:54.209Z
Inside the original README — Document outline
- Get started with Ruflo
- Optional: ruOS Desktop
- Ruflo
- An origin you can inspect
- One task: create a mission with Claude
- Quick Start
- Path A — Claude Code Plugins (lite, slash commands only)
- Core & Orchestration
- Memory & Knowledge
- Intelligence & Learning
- Code Quality & Testing
- Security & Compliance
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the README
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
- ![MIT License
- Terminal UI guide
- Compare install paths
- User guide
- English
- 简体中文
- ![RuFlo Explained — build an AI team that plans, remembers, tests, and improves
- 📖 RuFlo Explained — Build an AI Team That Plans, Remembers, Tests, and Improves
- ![Claude Flow to Ruflo: founding idea on June 2, 2025, orchestration source on June 10, and the cont
- See the illustrated explainer, exact commits and earlier ecosystem context
- the Grok operator guide
- Open animated demo
Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Repository facts
- Owner
- ruvnet
- Primary language
- TypeScript
- Stars
- 80,228
- Forks
- 9,408
- Open issues + pull requests
- 1,049
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2025-06-02T21:24:20.000Z
- Last push
- 2026-10-15T11:18:51.000Z
Topics and intended use
Owner-supplied topics: agentic-ai, agentic-framework, agentic-workflow, agents, ai-agents, ai-assistant, ai-skills, autonomous-agents, claude, codex, dsh-plugin, harness, mcp-server, multi-agent, multi-agent-systems, npm, skills, swarm, swarm-intelligence, typescript
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-10-30T12:14:28.406Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.