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Ruflo

A complete meta-framework for multi-agent orchestration, memory, MCP, and adaptive workflows.

67.9k StarsMITTypeScriptUpdated 3 days ago
Install and use GitHub
01

Project overview

A complete meta-framework for multi-agent orchestration, memory, MCP, and adaptive workflows. Its core areas include Swarm orchestration, Memory, RAG, Workflows. Start with the repository documentation and the smallest practical scope before adopting it broadly.

02

Core capabilities

01

Swarm orchestration

Adds a repeatable workflow or integration for Swarm orchestration.

02

Memory

Adds a repeatable workflow or integration for Memory.

03

RAG

Adds a repeatable workflow or integration for RAG.

04

Workflows

Adds a repeatable workflow or integration for Workflows.

03

Installation and usage

This usage path is based on the current public documentation for Ruflo. Complete the steps in order before using it from your agent.

AI AGENT INSTALL

Let an AI Agent install it

Send this prompt to Codex, Claude Code, or another AI agent that can work with your local environment.

Help me install this Plugin: Ruflo
Project URL: https://github.com/ruvnet/claude-flow

Read the README and installation files first, confirm the current environment and target directory, then follow the project's documented installation method. Run a minimal verification task afterward and report the install location, steps, and result. Ask before requesting credentials, additional permissions, overwriting files, or performing risky actions.
01Before you start
  • Prepare a compatible agent or runtime
  • Confirm access to the local files or services required by the project
02Copy the install command or configuration
Project URL: https://github.com/ruvnet/claude-flow
Copy the URL and follow the steps below to complete setup.
03Complete the setup steps
  1. 1
    Apply the configuration

    Use the command or configuration above to add the resource to the current agent environment.

  2. 2
    Complete required setup

    Complete path, permission, or connection settings for the current runtime.

  3. 3
    Run a minimal task

    Run a minimal task in the agent. If the resource is recognized and returns the documented type of result, the setup is active.

How to verify the setup

Run a minimal task in the agent. If the resource is recognized and returns the documented type of result, the setup is active.

04

Use cases

SCENARIO 01

You want installable commands, agents, Skills, or orchestration for a coding agent

SCENARIO 02

Your current task needs Swarm orchestration or Memory

05

Assessment

Why it may be useful

  • You want installable commands, agents, Skills, or orchestration for a coding agent
  • Your current task needs Swarm orchestration or Memory

What to know first

  • You only want a prompt and do not want to modify host configuration
  • You want to use it in production without reading the repository documentation or reviewing permissions
06

README

Ruflo

Overview

A complete meta-framework for multi-agent orchestration, memory, MCP, and adaptive workflows. The original agent meta-harness for multi-agent swarms, autonomous workflows, memory, and self-learning intelligence.

Getting started

  • This usage path is based on the current public documentation for Ruflo. Complete the steps in order before using it from your agent.
  • Project focus: A complete meta-framework for multi-agent orchestration, memory, MCP, and adaptive workflows.
  • Published characteristics: Multi-agent, MCP and Skills, Background capabilities.
  • Run a minimal task in the agent. If the resource is recognized and returns the documented type of result, the setup is active.

Configuration

Project URL: https://github.com/ruvnet/claude-flow
Copy the URL and follow the steps below to complete setup.
Read the complete README on GitHub →