claude-flow

<div align="center"> [](https://flo.ruv.io/) [](https://flo.ruv.io/) [](https://goal.ruv.io/) [](https://goal.ruv.io/agents) [](https://github.com/ruvnet/claude-flow) [](https://opensource.org/licenses/MIT) [](https://github.com/ruvnet/claude-flow) [](https://www.npmjs.com/package/@claude-flow/codex) [](https://github.com/ruvnet/ruvector) # Ruflo **Multi-agent AI orchestration for Claude Code** </div> Orchestrate 100+ specialized AI agents across machines, teams, and trust boundaries. Ruflo adds coordinated swarms, self-learning memory, federated comms, and enterprise security to Claude Code — so agents don't just run, they collaborate. ### Why Ruflo? > Claude Flow is now Ruflo — named by [`rUv`](https://ruv.io), 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`](https://cognitum.one/?RuFlo) agentic architecture, running a supercharged Rust based AI engine, embeddings, memory, and plugin system. ### What Ruflo Does One `npx ruvflo 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. ``` Self-Learning / Self-Optimizing Agent Architecture User --> Ruflo (CLI/MCP) --> Router --> Swarm --> Agents --> Memory --> LLM Providers ^ | +---- Learning Loop <-------+ ``` > **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. ---  ## Quick Start There are **two different install paths** with very different surface areas. Pick based on what you need (#1744): | | **Claude Code Plugin** | **CLI install (`npx ruflo init`)** | |---|---|---| | What it gives you | Slash commands + a few skills + agent definitions per-plugin | Full Ruflo loop — 98 agents, 60+ commands, 30 skills, MCP server, hooks, daemon | | Files in your workspace | **Zero** | `.claude/`, `.claude-flow/`, `CLAUDE.md`, helpers, settings | | MCP server registered | **No** (`memory_store`, `swarm_init`, etc. unavailable to Claude) | Yes | | Hooks installed | No | Yes | | Best for | Try a single plugin's commands without committing to the full install | Production use — everything works as documented | ### Path A — Claude Code Plugins (lite, slash commands only) ```bash # 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-autopilot@ruflo /plugin install ruflo-federation@ruflo ``` This adds slash commands and agent definitions only. The Ruflo MCP server is NOT registered, so `memory_store`, `swarm_init`, `agent_spawn`, etc. won't be callable from Claude. For the full loop, use Path B below. <details> <summary><strong>🔌 All 32 plugins</strong></summary> #### Core & Orchestration | Plugin | What 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 | Plugin | What 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`](https://npmjs.com/package/ruvector) — GPU-accelerated search, Graph RAG, 103 tools | | **ruflo-knowledge-graph** | Build and traverse entity relationship maps | #### Intelligence & Learning | Plugin | What it does | |--------|-------------| | **ruflo-intelligence** | Agents learn from past successes and get smarter | | **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 | Plugin | What 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 | #### Security & Compliance | Plugin | What it does | |--------|-------------| | **ruflo-security-audit** | Scan for vulnerabilities and CVEs | | **ruflo-aidefence** | Block prompt injection, detect PII, safety scanning | #### Architecture & Methodology | Plugin | What 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 | #### DevOps & Observability | Plugin | What 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 | Plugin | What it does | |--------|-------------| | **ruflo-wasm** | Run sandboxed WebAssembly agents | | **ruflo-plugin-creator** | Scaffold, validate, and publish your own plugins | #### Domain-Specific | Plugin | What it does | |--------|-------------| | **ruflo-iot-cognitum** | IoT device management — trust scoring, anomaly detection, fleets | | **ruflo-neural-trader** | [`neural-trader`](https://npmjs.com/package/neural-trader) — AI trading with 4 agents, backtesting, 112+ tools | | **ruflo-market-data** | Ingest market data, vectorize OHLCV, detect patterns | </details> ### CLI Install ```bash # One-line install curl -fsSL https://cdn.jsdelivr.net/gh/ruvnet/ruflo@main/scripts/install.sh | bash # Or via npx (interactive setup) npx ruflo@latest init wizard # Quick non-interactive init # npx ruflo@latest init # Or install globally npm install -g ruflo@latest ``` ### MCP Server ```bash # Add Ruflo as an MCP server in Claude Code (canonical form, matches USERGUIDE.md) claude mcp add ruflo -- npx ruflo@latest mcp start ``` --- ## What You Get | Capability | Description | |------------|-------------| | 🤖 **100+ Agents** | Specialized agents for coding, testing, security, docs, architecture | | 📡 **Comms Layer** | Zero-trust federation — agents across machines/orgs discover, authenticate, and exchange work securely | | 🐝 **Swarm Coordination** | Hierarchical, mesh, and adaptive topologies with consensus | | 🧠 **Self-Learning** | SONA neural patterns, ReasoningBank, trajectory learning | | 💾 **Vector Memory** | HNSW-indexed AgentDB with 150x-12,500x faster search | | ⚡ **Background Workers** | 12 auto-triggered workers (audit, optimize, testgaps, etc.) | | 🧩 **Plugin Marketplace** | 32 native Claude Code plugins + 21 npm plugins | | 🔌 **Multi-Provider** | Claude, GPT, Gemini, Cohere, Ollama with smart routing | | 🛡️ **Security** | AIDefence, input validation, CVE remediation, path traversal prevention | | 🌐 **Agent Federation** | Cross-installation agent collaboration with zero-trust security | | 💬 **[Web UI Beta](https://flo.ruv.io/)** | Multi-model chat at flo.ruv.io with parallel MCP tool calling and an in-browser WASM tool gallery | | 🎯 **[RuFlo Research](https://goal.ruv.io/)** | GOAP A\* planner at goal.ruv.io — plain-English goals → executable agent plans, with a live agent dashboard at [/agents](https://goal.ruv.io/agents) | <p align="center"> <a href="https://flo.ruv.io/"> <img src="v3/docs/assets/ruVocal.png" alt="RuFlo Web UI executing parallel MCP tool calls at flo.ruv.io — ruflo__memory_store and ruflo__memory_search firing in a single model turn with the 'Step 1 — 2 tools completed' parallel-execution indicator, thinking process panel visible, Qwen 3.6 Max as the active model. Multi-agent AI chat with Model Context Protocol (MCP) tool calling, persistent vector memory via AgentDB + HNSW, swarm coordination, and 6 frontier models including Claude Sonnet 4.6, Gemini 2.5 Pro, and OpenAI through OpenRouter." width="100%" /> </a> </p> ### Web UI (Beta) — self-hostable, hosted demo at [flo.ruv.io](https://flo.ruv.io/) **RuFlo's web UI is a multi-model AI chat with built-in Model Context Protocol (MCP) tool calling.** Talk to Qwen, Claude, Gemini, or OpenAI while RuFlo invokes the same MCP tools the CLI uses — agent orchestration, persistent memory, swarm coordination, code review, GitHub ops — directly from chat. No install, no API key needed to try it. | | What it is | Why it matters | |---|------------|----------------| | 🧠 | **Any model, local or remote** | 6 curated frontier models out-of-the-box — Qwen 3.6 Max (default), Claude Sonnet 4.6, Claude Haiku 4.5, Gemini 2.5 Pro, Gemini 2.5 Flash, OpenAI — via OpenRouter. Add your own: any OpenAI-compatible endpoint (vLLM, Ollama, LM Studio, Together, Groq, self-hosted). | | 🦾 | **ruvLLM self-learning AI** | Native support for [ruvLLM](https://github.com/ruvnet/RuVector/tree/main/examples/ruvLLM) (lives in `ruvnet/RuVector/examples/ruvLLM`) — RuFlo's self-improving local model layer. Routes to MicroLoRA adapters, learns from your trajectories via SONA, and stays on your machine. Pair with the cloud models or run fully offline. | | 🛠️ | **~210 tools, ready to call** | 5 server groups (Core, Intelligence, Agents, Memory, DevTools) plus an 18-tool gallery that runs entirely in your browser — works offline. | | 🔌 | **Bring your own MCP servers** | Click the **MCP (n)** pill in the chat input → *Add Server* and paste any MCP endpoint (HTTP, SSE, or stdio). Your tools join RuFlo's native ones in the same parallel-execution flow. Run a local MCP server on `localhost:3000` and it just works. | | ⚡ | **Tools run in parallel** | One model response can fire 4–6+ tools at the same time. The UI shows them as cards with a *Step 1 — 2 tools completed* badge so you can see exactly what ran. | | 💾 | **Memory that sticks** | Say *"remember my favorite color is indigo"* and ask weeks later — RuFlo recalls it. Backed by AgentDB + HNSW vector search (≥150× faster than brute force). | | 📘 | **Built-in capabilities tour** | Click the question-mark icon in the sidebar — a "RuFlo Capabilities" modal opens with the full tool list, model strengths, architecture, and keyboard shortcuts. | | 🏠 | **Self-hostable** | Web UI is shipped as Docker (`ruflo/src/ruvocal/Dockerfile`) with embedded Mongo. Deploy to your own Cloud Run / Fly / Kubernetes / docker-compose. The hosted [flo.ruv.io](https://flo.ruv.io/) demo is one option; running your own is fully supported. | | 🚀 | **Zero install to try** | Open the hosted URL, pick a model, type a question. That's the whole onboarding. | **Try the hosted demo:** [https://flo.ruv.io/](https://flo.ruv.io/) — no account, no API key. **Run your own:** the source lives in [`ruflo/src/ruvocal/`](ruflo/src/ruvocal/) with a multi-stage Dockerfile (`INCLUDE_DB=true` builds in MongoDB) and a `cloudbuild.yaml` for Google Cloud Run. See [ADR-033](ruflo/docs/adr/ADR-033-RUVOCAL-WASM-MCP-INTEGRATION.md) for the architecture and [issue #1689](https://github.com/ruvnet/ruflo/issues/1689) for the roadmap. <p align="center"> <a href="https://goal.ruv.io/agents"> <img src="v3/docs/assets/goal.png" alt="goal.ruv.io/agents — RuFlo Goal-Oriented Action Planning (GOAP) UI for autonomous AI agents. Visual goal decomposition, A* search through state spaces, multi-agent task assignment, and live agent telemetry." width="100%" /> </a> </p> ### Goal Planner UI — autonomous agents at [goal.ruv.io](https://goal.ruv.io/) **Turn high-level goals into executable agent plans.** `goal.ruv.io` is RuFlo's hosted Goal-Oriented Action Planning (GOAP) front-end — describe an outcome in plain English and watch RuFlo decompose it into preconditions, actions, and an A* path through state space, then dispatch the work to live agents at [`/agents`](https://goal.ruv.io/agents). | | What it is | Why it matters | |---|------------|----------------| | 🎯 | **Plain-English goals** | Type *"ship the auth refactor with tests and a PR"* — RuFlo extracts the success criteria, the constraints, and the implicit preconditions. No JSON, no DSL. | | 🧭 | **GOAP A\* planner** | Classic gaming-AI planning ported to software work: state-space search through actions with preconditions/effects to find the shortest viable path. Replans on the fly when state changes. | | 🤖 | **Live agent dashboard** | [goal.ruv.io/agents](https://goal.ruv.io/agents) shows every spawned agent — role, current step, memory namespace, token budget, status. Click in to inspect trajectories, kill runaway workers, or reassign. | | 🌳 | **Visual plan tree** | Goals render as collapsible action trees with progress, blocked branches, and rollbacks highlighted. See *exactly* why an agent picked a path — no opaque chain-of-thought. | | ♻️ | **Adaptive replanning** | When an action fails or new info arrives, the planner re-runs A\* from the current state instead of restarting. Failures become learning, not loops. | | 🧠 | **Shared memory + SONA** | Plans, trajectories, and outcomes flow into AgentDB. Future plans retrieve past solutions via HNSW — the planner gets smarter with every run. | | 🔗 | **Wired to MCP tools** | Every action node maps to a tool call (RuFlo's ~210 MCP tools, your custom servers, or shell). The planner schedules them in parallel where the dependency graph allows. | | 🚀 | **Zero install to try** | Open [goal.ruv.io](https://goal.ruv.io/), describe a goal, watch it run. Source lives in [`v3/goal_ui/`](v3/goal_ui/) — Vite + Supabase, self-hostable. | **Try it:** [https://goal.ruv.io/](https://goal.ruv.io/) for goals · [https://goal.ruv.io/agents](https://goal.ruv.io/agents) for live agents. **Run your own:** clone the `goal` branch and `cd v3/goal_ui && npm install && npm run dev`. ### Agent Federation — Slack for Agents ``` Your Agent --> [ Remove secrets ] --> [ Sign message ] --> [ Encrypted channel ] Emails, SSNs, Proves it came No one reads it keys stripped from you in transit | v Their Agent <-- [ Block attacks ] <-- [ Check identity ] <------+ Stops prompt Rejects forgeries injection Audit trail on both sides. Trust builds over time. Bad behavior = instant downgrade. ``` 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`](https://github.com/ruvnet/ruflo/issues/1669) 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. <details> <summary><strong>Federation capabilities</strong></summary> | | Capability | How it works | |---|---|---| | 🔒 | **Zero-trust federation** | Remote agents start untrusted. Identity proven via mTLS + ed25519 challenge-response. No API keys, no shared secrets. | | 🛡️ | **PII-gated data flow** | 14-type detection pipeline scans every outbound message. Per-trust-level policies: BLOCK, REDACT, HASH, or PASS. Adaptive calibration reduces false positives. | | 📊 | **Behavioral trust scoring** | Formula (`0.4×success + 0.2×uptime + 0.2×threat + 0.2×integrity`) continuously evaluates peers. Upgrades require history; downgrades are instant. | | 📋 | **Compliance built-in** | HIPAA, SOC2, GDPR audit trails as compliance modes. Every federation event produces a structured record searchable via HNSW. | | 🤝 | **9 MCP tools + 10 CLI commands** | Full lifecycle: `federation_init`, `federation_send`, `federation_trust`, `federation_audit`, and more. | </details> <details> <summary><strong>Example: two teams sharing fraud signals without sharing customer data</strong></summary> ```bash # 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 ``` </details> See [issue #1669](https://github.com/ruvnet/ruflo/issues/1669) for the complete architecture, trust model, and implementation roadmap. ```bash # Claude Code plugin /plugin install ruflo-federation@ruflo # Or via CLI npx claude-flow@latest plugins install @claude-flow/plugin-agent-federation ``` <details> <summary><strong>Claude Code: With vs Without Ruflo</strong></summary> | Capability | Claude Code Alone | + Ruflo | |------------|-------------------|---------| | Agent Collaboration | Isolated, no shared context | Swarms with shared memory and consensus | | Coordination | Manual orchestration | Queen-led hierarchy (Raft, Byzantine, Gossip) | | Memory | Session-only | HNSW vector memory with sub-ms retrieval | | Learning | Static behavior | SONA self-learning with pattern matching | | Task Routing | You decide | Intelligent routing (89% accuracy) | | Background Workers | None | 12 auto-triggered workers | | LLM Providers | Anthropic only | 5 providers with failover | | Security | Standard | CVE-hardened with AIDefence | </details> <details> <summary><strong>Architecture overview</strong></summary> ``` 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) ``` </details> --- ## Documentation Three docs for three audiences: | Doc | When to read it | |-----|-----------------| | **[Status](docs/STATUS.md)** | See what currently works — capability counts, test baselines, recent fixes, what's next. The *is-it-ready* doc. | | **[User Guide](docs/USERGUIDE.md)** | Daily reference — every command, every config flag, every plugin. The *how-do-I* doc. | | **[Verification](verification.md)** | Cryptographically prove your installed bytes match the signed witness — `ruflo verify`. The *trust-but-verify* doc. | User Guide section index: | Section | Topics | |---------|--------| | [Quick Start](docs/USERGUIDE.md#quick-start) | Installation, prerequisites, install profiles | | [Core Features](docs/USERGUIDE.md#-core-features) | MCP tools, agents, memory, neural learning | | [Intelligence & Learning](docs/USERGUIDE.md#-intelligence--learning) | Hooks, workers, SONA, model routing | | [Swarm & Coordination](docs/USERGUIDE.md#-swarm--coordination) | Topologies, consensus, hive mind | | [Security](docs/USERGUIDE.md#%EF%B8%8F-security) | AIDefence, CVE remediation, validation | | [Ecosystem](docs/USERGUIDE.md#-ecosystem--integrations) | RuVector, agentic-flow, Flow Nexus | | [Configuration](docs/USERGUIDE.md#%EF%B8%8F-configuration--reference) | Environment variables, config schema | | [Plugin Marketplace](https://ruvnet.github.io/ruflo) | Browse and install plugins | --- ## Support | Resource | Link | |----------|------| | Documentation | [User Guide](docs/USERGUIDE.md) | | Issues & Bugs | [GitHub Issues](https://github.com/ruvnet/claude-flow/issues) | | Enterprise | [ruv.io](https://ruv.io) | | Community | [Agentics Foundation Discord](https://discord.com/invite/dfxmpwkG2D) | | Powered by | [Cognitum.one](https://cognitum.one) | ## License MIT - [RuvNet](https://github.com/ruvnet)