io.github.ruvnet/claude-flow

Official registry AI and agents

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package claude-flow
Claude Code
claude mcp add claude-flow -e 'ANTHROPIC_API_KEY=<your anthropic_api_key>' -e 'CLAUDE_FLOW_MODE=<CLAUDE_FLOW_MODE>' -e 'CLAUDE_FLOW_MEMORY_PATH=<CLAUDE_FLOW_MEMORY_PATH>' -e 'CLAUDE_FLOW_MAX_AGENTS=<CLAUDE_FLOW_MAX_AGENTS>' -e 'CLAUDE_FLOW_PORT=<CLAUDE_FLOW_PORT>' -e 'GITHUB_TOKEN=<your github_token>' -e 'FLOW_NEXUS_API_KEY=<your flow_nexus_api_key>' -- npx -y claude-flow@2.0.0-alpha.107
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "claude-flow": {
            "command": "npx",
            "args": [
                "-y",
                "claude-flow@2.0.0-alpha.107"
            ],
            "env": {
                "ANTHROPIC_API_KEY": "<your anthropic_api_key>",
                "CLAUDE_FLOW_MODE": "<CLAUDE_FLOW_MODE>",
                "CLAUDE_FLOW_MEMORY_PATH": "<CLAUDE_FLOW_MEMORY_PATH>",
                "CLAUDE_FLOW_MAX_AGENTS": "<CLAUDE_FLOW_MAX_AGENTS>",
                "CLAUDE_FLOW_PORT": "<CLAUDE_FLOW_PORT>",
                "GITHUB_TOKEN": "<your github_token>",
                "FLOW_NEXUS_API_KEY": "<your flow_nexus_api_key>"
            }
        }
    }
}

Environment variables

  • ANTHROPIC_API_KEY secret Anthropic API key for Claude AI models
  • CLAUDE_FLOW_MODE Operation mode: development, production, or test
  • CLAUDE_FLOW_MEMORY_PATH Path for persistent memory storage
  • CLAUDE_FLOW_MAX_AGENTS Maximum number of concurrent agents
  • CLAUDE_FLOW_PORT MCP server port
  • GITHUB_TOKEN secret GitHub personal access token for repository operations
  • FLOW_NEXUS_API_KEY secret Flow Nexus cloud platform API key

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Get started with Ruflo
  2. Ruflo
  3. Quick Start
  4. What You Get
  5. Documentation
  6. Support
  7. License

An agent meta-harness for Claude Code and Codex.

Get started with Ruflo

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:

/plugin marketplace add ruvnet/ruflo
/plugin install ruflo-core@ruflo
/plugin install ruflo-console@ruflo
/plugin install ruflo-mods@ruflo
/reload-plugins
/ruflo

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:

npx ruflo@latest init wizard

For clients that support local stdio MCP servers, configure command npx and arguments ["-y", "ruflo@latest", "mcp", "start"]. The equivalent server command is:

npx -y ruflo@latest mcp start

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, with no Claude Code: npx ruflo tui (add --plain to print one frame for scripts). It shows Overview, Cost, Swarm, Events and Missions, plus an optional AI page. Terminal UI guide

Compare install paths · Open the console · User guide

Optional: ruOS Desktop

Connect ruOS to ChatGPT or Claude via MCP:

https://ruos.cognitum.one/mcp
npx ruvector

Ruflo

English · 简体中文

📖 RuFlo Explained — Build an AI Team That Plans, Remembers, Tests, and Improves A 14-chapter guide: from the basic idea to a first useful task, then memory, agent teams, plugins, cost and verification.

Agent = Model + Harness. The model writes; the harness gives it tools, memory, loops, sandboxes, and controls so it can actually work. Ruflo is the harness — the execution layer around Claude Code and Codex that adds 100+ specialized agents, coordinated swarms, self-learning memory, federated comms across machines, and enterprise security guardrails. So agents don't just run, they collaborate.

One npx ruflo init gives Claude Code a nervous system: agents self-organize into swarms, learn from every task, remember across sessions, and — with federation — securely talk to agents on other machines without leaking data. You keep writing code. Ruflo handles the coordination.

Conceptual learning loop. Local vector retrieval and contrastive updates can run without an LLM; embeddings and configured learning modules are still required. See the RuVector training integration and trajectory contrastive learning.

Architecture in text

User → Ruflo (CLI/MCP) → Router → Swarm → Agents → Memory → LLM providers. Memory feeds useful experience back into routing. This is a conceptual flow, not a live execution trace.

New to Ruflo? You don't need to learn 314 MCP tools or 26 CLI commands. After init, just use Claude Code normally — the hooks system automatically routes tasks, learns from successful patterns, and coordinates agents in the background.

An origin you can inspect

Built by Reuven Cohen (rUv), originally as Claude Flow. The first commit, June 2, 2025, describes a code orchestration layer for recursive agent cycles: Claude writes, edits, tests and improves. The June 10 source snapshot adds orchestration, task scheduling, memory and terminal modules.

A harness is the workbench around the model: it organizes tasks, carries context between steps and helps check results. This establishes Ruflo's lineage, not a universal first across every Claude Code tool. See the illustrated explainer, exact commits and earlier ecosystem context.

Grok Build: npx ruflo init --grok writes the project host surface (.grok/, the team bus, and the operator guide) and nothing outside the project; add --dry-run to preview. Setup, the spawn_subagent contract, the optional status row, and what to re-check when Grok updates: the Grok operator guide.

📖 Background — where the name comes from

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 working until 3am. Underneath, powered by Cognitum.One agentic architecture, running a supercharged Rust-based AI engine, embeddings, memory, and plugin system.


Open animated demo · Theme Studio guide · Workflow demo

Your agent cockpit. Track workflows, agents, models, tokens and cost beside Claude Code. The 38 second animation shows Orbital and Theme Studio through actual renderer frames, including boot checks, six palettes, customization, saved themes, JSON import and resizing. This compact 3.84 MB SVG retains all 456 frames. Native host and AI provider execution are not demonstrated.

Inspect any run. Open agent logs and results, search, triage failures, replay and compare. Start with npx ruflo init, restart Claude Code, then /ruflo. Full console tour.

Let Claude drive. You set the limits. Enable Settings → Claude control to navigate and run console actions. Choose read, write, manage or full, with ask or auto approval. The current default is read + ask; raising the level is your choice. Actions above your permission level are refused, and network, spending and destructive actions require confirmation even in auto. Review the live action log or press Take back control to stop Claude control. Details.

One task: create a mission with Claude

Watch the recorded console session below. Claude creates a mission, opens the Learning and Security pages, and reports its actions in Overview.

  1. Set the boundary. Install the console using the commands below, open /ruflo, then choose Settings → Claude control → write + ask.
  2. Give a concrete request. Try: “Create a mission to add a dark mode toggle. Show me the mission and its status.”
  3. Approve creation. Claude opens Missions and sets the goal. Confirm the pending create action in the console.
  4. Verify the result. Check that Missions contains the goal and Overview records the action. Creating a mission does not mean the feature has been implemented.
  5. Keep control. Take back control pauses Claude's console tools. A later call should be refused until you restore control.

What the recording demonstrates: a real Claude Haiku session with write + auto, mission creation, page navigation, a refused swarm stop, and control being taken back. The steps above use ask so you approve creation yourself. The linked workflow animation uses sample data, while the theme demo replays renderer frames. Neither is evidence of completed swarm work or memory recall.

Implementation and recorded test findings · Reproduction script

Install the mods from the ruflo marketplace (Claude Code 2.1.287 or later; mods run with your account's permissions and are not sandboxed, so read the code first):

/plugin marketplace add ruvnet/ruflo
/plugin install ruflo-console@ruflo
/plugin install ruflo-mods@ruflo
/reload-plugins

ruflo-console is the cockpit above, ruflo-mods routes prompts and enforces policy in-process, ruflo-swarm shows the swarm in a pane, and ruflo-ruos adds the ruOS status segment. Open /plugin to confirm they appear in the active mods line. Inside the console, /ruflo market is the Plugin Catalog: every ruflo plugin, mod and skill with what it ships, and buttons to install, enable, disable and update (each asks first).

Quick Start

There are two different install paths with very different surface areas. Pick based on what you need (#1744):

Claude Code PluginCLI install (npx ruflo init)
What it gives youSlash commands + a few skills + agent definitions per-pluginFull Ruflo loop — 98 agents, 60+ commands, 30 skills, MCP server, hooks, daemon
Files in your workspaceZero.claude/, .claude-flow/, CLAUDE.md, helpers, settings
MCP server registeredOnly if ruflo-core is installed (it ships its own .mcp.json) — most other plugins don'tYes
Hooks installedNoYes
Best forTry a single plugin's commands without committing to the full installProduction use — everything works as documented
Path A — Claude Code Plugins (lite, slash commands only)
# Add the marketplace
/plugin marketplace add ruvnet/ruflo

# Install core + any plugins you need
/plugin install ruflo-core@ruflo
/plugin install ruflo-swarm@ruflo
/plugin install ruflo-rag-memory@ruflo
/plugin install ruflo-neural-trader@ruflo

This adds slash commands and agent definitions. ruflo-core (installed above) does register its own MCP server on install — its tools are callable as mcp__plugin_ruflo-core_ruflo__* (e.g. mcp__plugin_ruflo-core_ruflo__memory_store), not the bare memory_store/swarm_init/agent_spawn names the CLI-track scaffold uses. Other plugins generally don't ship their own MCP server. For the full loop with the CLI-track tool names, use Path B below.

🔌 All 35 plugins

Core & Orchestration
PluginWhat it does
**ruflo-core**Foundation — server, health checks, plugin discovery
**ruflo-swarm**Coordinate multiple agents as a team
**ruflo-autopilot**Let agents run autonomously in a loop
**ruflo-loop-workers**Schedule background tasks on a timer
**ruflo-workflows**Reusable multi-step task templates
**ruflo-federation**Agents on different machines collaborate securely
Memory & Knowledge
PluginWhat it does
**ruflo-agentdb**Fast vector database for agent memory
**ruflo-rag-memory**Smart retrieval — hybrid search, graph hops, diversity ranking
**ruflo-rvf**Save and restore agent memory across sessions
**ruflo-ruvector**ruvector — GPU-accelerated search, Graph RAG, 103 tools
**ruflo-knowledge-graph**Build and traverse entity relationship maps
Intelligence & Learning
PluginWhat it does
**ruflo-intelligence**Agents learn from past successes and get smarter
**ruflo-graph-intelligence**Sublinear graph reasoning — PageRank, delta updates, complexity-aware execution (ADR-123)
**ruflo-daa**Dynamic agent behavior and cognitive patterns
**ruflo-ruvllm**Run local LLMs (Ollama, etc.) with smart routing
**ruflo-goals**Break big goals into plans and track progress
Code Quality & Testing
PluginWhat it does
**ruflo-testgen**Find missing tests and generate them automatically
**ruflo-browser**Automate browser testing with Playwright
**ruflo-jujutsu**Analyze git diffs, score risk, suggest reviewers
**ruflo-docs**Generate and maintain documentation automatically
**agentic-qe-fleet**External, maintained by Agentic QE: 11 QE agents, test generation, coverage, chaos and TDD skills, the agentic-qe MCP server, and a guard for AQE learning data (/plugin install agentic-qe-fleet@ruflo). Install it from one marketplace only, agentic-qe or ruflo: enabled from both, its mod and commands load twice
Security & Compliance
PluginWhat it does
**ruflo-security-audit**Scan for vulnerabilities and CVEs
**ruflo-aidefence**Block prompt injection, detect PII, safety scanning
Architecture & Methodology
PluginWhat it does
**ruflo-adr**Track architecture decisions with a living record
**ruflo-ddd**Scaffold domain-driven design — contexts, aggregates, events
**ruflo-sparc**Guided 5-phase development methodology with quality gates
**ruflo-metaharness**Grade your agent setup, scan tool configs for security risks, and track changes over time (guide)
**ruflo-arena**Competitive ruliology — pit agent strategies against each other in tournaments, hill-climb and co-evolve the winners (ADR-147/148)
DevOps & Observability
PluginWhat it does
**ruflo-migrations**Manage database schema changes safely
**ruflo-observability**Structured logs, traces, and metrics in one place
**ruflo-cost-tracker**Track token usage, set budgets, get cost alerts
Extensibility
PluginWhat it does
**ruflo-agent**Run agents — local WASM sandbox (rvagent) + Anthropic Claude Managed Agents (cloud), with opt-in bounded dynamic workflows, gated session controls and verified advisory learning
**ruflo-plugin-creator**Scaffold, validate, and publish your own plugins
Domain-Specific
PluginWhat it does
**ruflo-iot-cognitum**IoT device management — trust scoring, anomaly detection, fleets
**ruflo-neural-trader**neural-trader — AI trading with 4 agents, backtesting, 112+ tools
**ruflo-market-data**Ingest market data, vectorize OHLCV, detect patterns
CLI Install

macOS / Linux / WSL / Git-Bash:

# One-line install (POSIX shells only — see Windows note below)
curl -fsSL https://cdn.jsdelivr.net/gh/ruvnet/ruflo@main/scripts/install.sh | bash

All platforms (including native Windows PowerShell / cmd):

# Interactive setup wizard — runs identically on every platform
npx ruflo@latest init wizard

# Quick non-interactive init
# npx ruflo@latest init

# Or install globally
npm install -g ruflo@latest

💡 Windows users: the curl ... | bash form needs a POSIX shell (Git-Bash, WSL, MSYS). The npx ruflo@latest init wizard line works natively in PowerShell and cmd. If you hit an 'bash' is not recognized error, use the npx line instead — both end up running the same init flow.

MCP Server
# Add Ruflo as an MCP server in Claude Code
claude mcp add claude-flow -- npx ruflo@latest mcp start

What You Get

CapabilityDescription
100+ AgentsSpecialized agents for coding, testing, security, docs, architecture
Comms LayerZero-trust federation — agents across machines/orgs discover, authenticate, and exchange work securely
Swarm CoordinationHierarchical, mesh, and adaptive topologies with consensus
Self-LearningSONA neural patterns, ReasoningBank, trajectory learning
Vector MemoryHNSW-indexed AgentDB — measured ~1.9x faster at N=20k, ~3.2x–4.7x at N=5k vs brute force (recall@10 ~0.99); ANN wins above the crossover, ties/loses at small N. See audit + scripts/benchmark-intelligence.mjs
Background Workers12 auto-triggered workers (audit, optimize, testgaps, etc.)
Plugin Marketplace33 native Claude Code plugins + 21 npm plugins
Multi-ProviderClaude, GPT, Gemini, Cohere, Ollama with smart routing
SecurityAIDefence, input validation, CVE remediation, path traversal prevention
Agent FederationCross-installation agent collaboration with zero-trust security
MetaHarnessAudit your AI agent setup before you ship. Grade readiness (1-100), scan tool configs for security issues, snapshot the whole project to catch regressions over time, and find templates that match your repo. ruflo eject turns a ruflo project into a standalone agent toolkit with its own name. Full guide.
Learning from experience

Useful trajectories and task feedback can inform future work. Results depend on the configured memory, learning components and quality of feedback. Learning plugin.

Agent Federation — Slack for Agents

Slack gave teams channels. Federation gives agents the same thing — shared workspaces across trust boundaries, where agents on different machines, orgs, or cloud regions can discover each other, prove who they are, and collaborate on tasks.

The difference: some channels are trusted, some aren't. @claude-flow/plugin-agent-federation handles that automatically. Your agents join a federation, get verified via mTLS + ed25519, and start exchanging work — with PII stripped before anything leaves your node and every message auditable. Untrusted agents can still participate at lower privilege: they see discovery info, not your memory. As they prove reliable, trust upgrades. If they misbehave, they get downgraded instantly — no human in the loop required.

You don't configure handshakes or manage certificates. You federation init, federation join, and your agents start talking. The protocol handles identity, the PII pipeline handles data safety, and the audit trail handles compliance.

📘 Full user guide: docs/federation/ — setup, MCP tools, trust levels, circuit breaker, and the (opt-in) WireGuard mesh layer that ties packet-layer reachability to federation trust. ADR-111 deep-dive at docs/federation/phase7-mesh-bringup.md.

Federation capabilities

CapabilityHow it works
🔒Zero-trust federationRemote agents start untrusted. Identity proven via mTLS + ed25519 challenge-response. No API keys, no shared secrets.
🛡️PII-gated data flow14-type detection pipeline scans every outbound message. Per-trust-level policies: BLOCK, REDACT, HASH, or PASS. Adaptive calibration reduces false positives.
📊Behavioral trust scoringFormula (0.4×success + 0.2×uptime + 0.2×threat + 0.2×integrity) continuously evaluates peers. Upgrades require history; downgrades are instant.
📋Compliance built-inHIPAA, SOC2, GDPR audit trails as compliance modes. Every federation event produces a structured record searchable via HNSW.
🤝9 MCP tools + 10 CLI commandsFull lifecycle: federation_init, federation_send, federation_trust, federation_audit, and more.

Example: two teams sharing fraud signals without sharing customer data

# Team A: initialize federation and generate keypair
npx claude-flow@latest federation init

# Team A: join Team B's federation endpoint
npx claude-flow@latest federation join wss://team-b.example.com:8443

# Team A: send a task — PII is stripped automatically before it leaves
npx claude-flow@latest federation send --to team-b --type task-request \
  --message "Analyze transaction patterns for account anomalies"

# Team A: check peer trust levels and session health
npx claude-flow@latest federation status

See issue #1669 for the complete architecture, trust model, and implementation roadmap.

# Claude Code plugin
/plugin install ruflo-federation@ruflo

# Or via CLI
npx claude-flow@latest plugins install @claude-flow/plugin-agent-federation

Claude Code: With vs Without Ruflo

CapabilityClaude Code Alone+ Ruflo
Agent CollaborationIsolated, no shared contextSwarms with shared memory and consensus
CoordinationManual orchestrationQueen-led hierarchy (Raft, Byzantine, Gossip)
MemorySession-onlyHNSW vector memory with sub-ms retrieval
LearningStatic behaviorSONA self-learning with pattern matching
Task RoutingYou decideIntelligent routing (89% accuracy)
Background WorkersNone12 auto-triggered workers
LLM ProvidersAnthropic only5 providers with failover
SecurityStandardCVE-hardened with AIDefence

Architecture overview

User --> Claude Code / CLI
          |
          v
    Orchestration Layer
    (MCP Server, Router, 27 Hooks)
          |
          v
    Swarm Coordination
    (Queen, Topology, Consensus)
          |
          v
    100+ Specialized Agents
    (coder, tester, reviewer, architect, security...)
          |
          v
    Memory & Learning
    (AgentDB, HNSW, SONA, ReasoningBank)
          |
          v
    LLM Providers
    (Claude, GPT, Gemini, Cohere, Ollama)

Documentation

Four docs for four audiences:

DocWhen to read it
StatusSee what currently works — capability counts, test baselines, recent fixes, what's next. The is-it-ready doc.
User GuideDaily reference — every command, every config flag, every plugin. The how-do-I doc.
MetaHarness GuideHow to grade your agent setup, scan tool configs for security, detect changes between runs, and eject a project into a standalone agent toolkit. The audit-my-setup doc.
Benchmarksv3.8.0 SOTA matrix vs LangGraph / AutoGen / CrewAI on darwin-arm64 + linux-x64. ruflo wins cold start, single turn, RSS by 1.3×–1953×. The is-it-fast doc.
VerificationCryptographically prove your installed bytes match the signed witness — ruflo verify. The trust-but-verify doc.
Team Gateway ChecklistBefore-merge gates, dual-mode handoff, memory namespace sharing, and witness manifest entry per merge. The safer-team-workflows doc.

Benchmark internals (for reproduction): sota-workload-spec.md · SOTA-PROGRESS.md · raw matrix JSON: darwin · linux

User Guide section index:

SectionTopics
Quick StartInstallation, prerequisites, install profiles
Core FeaturesMCP tools, agents, memory, neural learning
Intelligence & LearningHooks, workers, SONA, model routing
Swarm & CoordinationTopologies, consensus, hive mind
SecurityAIDefence, CVE remediation, validation
EcosystemRuVector, agentic-flow, Flow Nexus
ConfigurationEnvironment variables, config schema
Plugin MarketplaceBrowse and install plugins

Support

ResourceLink
DocumentationUser Guide
Issues & BugsGitHub Issues
Enterpriseruv.io
CommunityAgentics Foundation Discord
Powered byCognitum.one

License

MIT - RuvNet

Frequently asked questions

What is io.github.ruvnet/claude-flow?

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

How do I install io.github.ruvnet/claude-flow?

It runs on your machine. In Claude Code: claude mcp add claude-flow -e 'ANTHROPIC_API_KEY=<your anthropic_api_key>' -e 'CLAUDE_FLOW_MODE=<CLAUDE_FLOW_MODE>' -e 'CLAUDE_FLOW_MEMORY_PATH=<CLAUDE_FLOW_MEMORY_PATH>' -e 'CLAUDE_FLOW_MAX_AGENTS=<CLAUDE_FLOW_MAX_AGENTS>' -e 'CLAUDE_FLOW_PORT=<CLAUDE_FLOW_PORT>' -e 'GITHUB_TOKEN=<your github_token>' -e 'FLOW_NEXUS_API_KEY=<your flow_nexus_api_key>' -- npx -y claude-flow@2.0.0-alpha.107. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.ruvnet/claude-flow need an API key?

Yes. It expects ANTHROPIC_API_KEY, GITHUB_TOKEN, FLOW_NEXUS_API_KEY, which you set in its configuration.

Is io.github.ruvnet/claude-flow open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.ruvnet/claude-flow?

It is published by ruvnet. AI.tn lists it but does not maintain or endorse it.

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