Claude Code Flow
Description
[](https://github.com/ruvnet/claude-flow)
Installation
curl -s https://raw.githubusercontent.com/ruvnet/ruflo/main/CLAUDE.md -o ~/.claude/agents/CLAUDE.md README
🌊 RuFlo v3.5: Enterprise AI Orchestration Platform
[](https://github.com/ruvnet/claude-flow)
[](https://github.com/ruvnet/claude-flow) [](https://www.npmjs.com/package/claude-flow) [](https://www.npmjs.com/package/claude-flow) [](https://ruv.io) [](https://discord.com/invite/dfxmpwkG2D) [](https://github.com/ruvnet/claude-flow) [](https://opensource.org/licenses/MIT)
[](https://x.com/ruv) [](https://www.linkedin.com/in/reuvencohen/) [](https://www.youtube.com/@ReuvenCohen)
**Production-ready multi-agent AI orchestration for Claude Code**
*Deploy 60+ specialized agents in coordinated swarms with self-learning capabilities, fault-tolerant consensus, and enterprise-grade security.*
**Why Ruflo?** Claude Flow is now Ruflo — named by Ruv, who loves Rust, flow states, and building things that feel inevitable. The "Ru" is the Ruv. The "flo" is the flow. Underneath, WASM kernels written in Rust power the policy engine, embeddings, and proof system. 5,800 commits later, the alpha is over. This is v3.5.
Getting into the Flow
Ruflo is a comprehensive AI agent orchestration framework that transforms Claude Code into a powerful multi-agent development platform. It enables teams to deploy, coordinate, and optimize specialized AI agents working together on complex software engineering tasks.
Self-Learning/Self-Optimizing Agent Architecture
User → Ruflo (CLI/MCP) → Router → Swarm → Agents → Memory → LLM Providers
↑ ↓
└──── Learning Loop ←──────┘
📐 Expanded Architecture — Full system diagram with RuVector intelligence
flowchart TB
subgraph USER["👤 User Layer"]
U[User]
end
subgraph ENTRY["🚪 Entry Layer"]
CLI[CLI / MCP Server]
AID[AIDefence Security]
end
subgraph ROUTING["🧭 Routing Layer"]
QL[Q-Learning Router]
MOE[MoE - 8 Experts]
SK[Skills - 42+]
HK[Hooks - 17]
end
...
Related Agents
Track Plan
| **Track ID:** {{TRACK_ID}} **Spec:** [spec.md](./spec.md) **Estimated Effort:** {{EFFORT_ESTIMATE}}... | - | [wshobson/agents](https://github.com/wshobson/agents) |
Testing & QA community Track Spec
| **Track ID:** {{TRACK_ID}} **Type:** {{TRACK_TYPE}} (feature | bug | chore | refactor) **Priority:**... | - | [wshobson/agents](https://github.com/wshobson/agents) |
Testing & QA community Workflow
| 1. **plan.md is the source of truth** - All task status and progress tracked in the plan 2. **Test-D... | - | [wshobson/agents](https://github.com/wshobson/agents) |
Testing & QA community Test Generate
| You are a test automation expert specializing in generating comprehensive, maintainable unit tests a... | - | [wshobson/agents](https://github.com/wshobson/agents) |
Testing & QA community MCP Inspector Development Guide
> **Note:** Inspector V2 is under development to address architectural and UX improvements. During this time, V1 contributions should focus on **bug fixes and MCP spec compliance**. See [CONTRIBUTING.
Testing & QA community Arbiter
You are a specialized validation agent. Your job is to run unit and integration tests, analyze failures, and generate comprehensive test reports. You judge whether implementations meet their specifica
Testing & QA community