{"id":45905059,"url":"https://github.com/ruvnet/ruflo","last_synced_at":"2026-05-30T20:00:57.641Z","repository":{"id":298234495,"uuid":"995029641","full_name":"ruvnet/ruflo","owner":"ruvnet","description":"🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features    enterprise-grade architecture, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration","archived":false,"fork":false,"pushed_at":"2026-05-29T17:04:28.000Z","size":525742,"stargazers_count":56342,"open_issues_count":577,"forks_count":6406,"subscribers_count":379,"default_branch":"main","last_synced_at":"2026-05-29T17:05:32.687Z","etag":null,"topics":["agentic-ai","agentic-framework","agentic-rag","agentic-workflow","agents","ai-agent","ai-assistant","ai-coding","ai-skills","autonomous-agents","claude-code","codex","mcp-server","multi-agent","multi-agent-systems","npm","skills","swarm","swarm-intelligence","typescript"],"latest_commit_sha":null,"homepage":"https://Cognitum.One","language":"TypeScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ruvnet.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":".github/CODEOWNERS","security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":"AGENTS.md","dco":null,"cla":null}},"created_at":"2025-06-02T21:24:20.000Z","updated_at":"2026-05-29T17:04:40.000Z","dependencies_parsed_at":"2025-08-21T20:19:24.361Z","dependency_job_id":"824ef6fa-c5a0-401a-a8c6-2e9d86a8a802","html_url":"https://github.com/ruvnet/ruflo","commit_stats":null,"previous_names":["ruvnet/claude-code-flow","ruvnet/claude-flow","ruvnet/ruflo"],"tags_count":1492,"template":false,"template_full_name":null,"purl":"pkg:github/ruvnet/ruflo","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ruvnet%2Fruflo","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ruvnet%2Fruflo/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ruvnet%2Fruflo/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ruvnet%2Fruflo/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ruvnet","download_url":"https://codeload.github.com/ruvnet/ruflo/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ruvnet%2Fruflo/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33707328,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-05-30T02:00:06.278Z","response_time":92,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["agentic-ai","agentic-framework","agentic-rag","agentic-workflow","agents","ai-agent","ai-assistant","ai-coding","ai-skills","autonomous-agents","claude-code","codex","mcp-server","multi-agent","multi-agent-systems","npm","skills","swarm","swarm-intelligence","typescript"],"created_at":"2026-02-28T02:00:33.176Z","updated_at":"2026-05-30T20:00:57.630Z","avatar_url":"https://github.com/ruvnet.png","language":"TypeScript","funding_links":[],"categories":["Tooling 🧰","🤖 AI \u0026 Machine Learning","TypeScript","AI开源项目","Multi-Agent Systems","Containerised MCP Servers","AI \u0026 ML (20)","Agent Orchestration","The latest additions 🎉","AI Agent Frameworks \u0026 SDKs","Frameworks \u0026 Libraries","Web \u0026 Search","AI Coding Agents","Companion Apps \u0026 GUIs","Comparison Matrix","Multi-Agent Orchestration"],"sub_categories":["Orchestrators","AI Agent","Parallel Processing","AI \u0026 Machine Learning","Multi-Agent Collaboration Systems","Multi-Agent Orchestration","Claude Code","Quick Setup with cc-safe-setup","Automate repo work"],"readme":"\u003cdiv align=\"center\"\u003e\n\n[![Ruflo Banner](ruflo/assets/ruflo-small.jpeg)](https://cognitum.one/agentic-engineering)\n\n[![Try the UI Beta — flo.ruv.io](https://img.shields.io/badge/_Try_the_UI_Beta-flo.ruv.io-6366f1?style=for-the-badge\u0026logoColor=white\u0026logo=svelte)](https://flo.ruv.io/)\n[![Goal Planner — goal.ruv.io](https://img.shields.io/badge/_Goal_Planner-goal.ruv.io-8b5cf6?style=for-the-badge\u0026logoColor=white\u0026logo=react)](https://goal.ruv.io/)\n[![Live Agents — goal.ruv.io/agents](https://img.shields.io/badge/_Live_Agents-goal.ruv.io%2Fagents-10b981?style=for-the-badge\u0026logoColor=white\u0026logo=react)](https://goal.ruv.io/agents)\n\n[![npm version (ruflo)](https://img.shields.io/npm/v/ruflo?label=ruflo\u0026style=for-the-badge\u0026logo=npm\u0026color=cb3837)](https://www.npmjs.com/package/ruflo)\n[![Ecosystem downloads](https://img.shields.io/badge/ecosystem%20downloads-22.2M%2B-blue?style=for-the-badge\u0026logo=npm)](https://github.com/ruvnet/ruflo/blob/main/data/clone-data.proof.json)\n[![Git clones (14d)](https://img.shields.io/badge/git%20clones%2014d-115k-blueviolet?style=for-the-badge\u0026logo=github)](https://github.com/ruvnet/ruflo/blob/main/data/clone-data.ledger.json)\n\n[![Star on GitHub](https://img.shields.io/github/stars/ruvnet/claude-flow?style=for-the-badge\u0026logo=github\u0026color=gold)](https://github.com/ruvnet/claude-flow)\n[![MIT License](https://img.shields.io/badge/License-MIT-yellow?style=for-the-badge)](https://opensource.org/licenses/MIT)\n[![Claude Code](https://img.shields.io/badge/Claude%20Code-Plugin-D97757?style=for-the-badge\u0026logoColor=white\u0026logo=anthropic)](https://github.com/ruvnet/claude-flow)\n[![Codex Plugin](https://img.shields.io/badge/Codex-Plugin-412991?style=for-the-badge\u0026logoColor=white\u0026logo=data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCI%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%2BPC9zdmc%2B)](https://www.npmjs.com/package/@claude-flow/codex)\n[![🕸️ RuVector Graph Ai](https://img.shields.io/badge/RuVector_Agentic-DB-06b6d4?style=for-the-badge\u0026logoColor=white\u0026logo=graphql)](https://github.com/ruvnet/ruvector)\n\n[![RuFlo Agentic Appliance](v3/docs/assets/RuFlo-agentic-appliance.png)](https://cognitum.one/appliance)\n\n[![ruFlo Summit — Budapest, June 2–3, 2026](v3/docs/assets/ruFlo-Summit.jpg)](https://github.com/ruvnet/ruflo/issues/1967)\n\n# Ruflo\n\n**Multi-agent AI orchestration for Claude Code**\n\n\u003c/div\u003e\n\nOrchestrate 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.\n\n### Why Ruflo?\n\n\u003e 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.\n\n\n### What Ruflo Does\n\nOne `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.\n\n```\nSelf-Learning / Self-Optimizing Agent Architecture\n\nUser --\u003e Ruflo (CLI/MCP) --\u003e Router --\u003e Swarm --\u003e Agents --\u003e Memory --\u003e LLM Providers\n                          ^                           |\n                          +---- Learning Loop \u003c-------+\n```\n\n\u003e **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.\n\n---\n\n![Ruflo Plugins](./ruflo-plugins.gif)\n\n## Quick Start\n\nThere are **two different install paths** with very different surface areas. Pick based on what you need (#1744):\n\n| | **Claude Code Plugin** | **CLI install (`npx ruflo init`)** |\n|---|---|---|\n| 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 |\n| Files in your workspace | **Zero** | `.claude/`, `.claude-flow/`, `CLAUDE.md`, helpers, settings |\n| MCP server registered | **No** (`memory_store`, `swarm_init`, etc. unavailable to Claude) | Yes |\n| Hooks installed | No | Yes |\n| Best for | Try a single plugin's commands without committing to the full install | Production use — everything works as documented |\n\n### Path A — Claude Code Plugins (lite, slash commands only)\n\n```bash\n# Add the marketplace\n/plugin marketplace add ruvnet/ruflo\n\n# Install core + any plugins you need\n/plugin install ruflo-core@ruflo\n/plugin install ruflo-swarm@ruflo\n/plugin install ruflo-rag-memory@ruflo\n/plugin install ruflo-neural-trader@ruflo\n```\n\nThis 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.\n\n\u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003e🔌 All 33 plugins\u003c/strong\u003e\u003c/summary\u003e\n\n#### Core \u0026 Orchestration\n\n| Plugin | What it does |\n|--------|-------------|\n| [**ruflo-core**](plugins/ruflo-core/README.md) | Foundation — server, health checks, plugin discovery |\n| [**ruflo-swarm**](plugins/ruflo-swarm/README.md) | Coordinate multiple agents as a team |\n| [**ruflo-autopilot**](plugins/ruflo-autopilot/README.md) | Let agents run autonomously in a loop |\n| [**ruflo-loop-workers**](plugins/ruflo-loop-workers/README.md) | Schedule background tasks on a timer |\n| [**ruflo-workflows**](plugins/ruflo-workflows/README.md) | Reusable multi-step task templates |\n| [**ruflo-federation**](plugins/ruflo-federation/README.md) | Agents on different machines collaborate securely |\n\n#### Memory \u0026 Knowledge\n\n| Plugin | What it does |\n|--------|-------------|\n| [**ruflo-agentdb**](plugins/ruflo-agentdb/README.md) | Fast vector database for agent memory |\n| [**ruflo-rag-memory**](plugins/ruflo-rag-memory/README.md) | Smart retrieval — hybrid search, graph hops, diversity ranking |\n| [**ruflo-rvf**](plugins/ruflo-rvf/README.md) | Save and restore agent memory across sessions |\n| [**ruflo-ruvector**](plugins/ruflo-ruvector/README.md) | [`ruvector`](https://npmjs.com/package/ruvector) — GPU-accelerated search, Graph RAG, 103 tools |\n| [**ruflo-knowledge-graph**](plugins/ruflo-knowledge-graph/README.md) | Build and traverse entity relationship maps |\n\n#### Intelligence \u0026 Learning\n\n| Plugin | What it does |\n|--------|-------------|\n| [**ruflo-intelligence**](plugins/ruflo-intelligence/README.md) | Agents learn from past successes and get smarter |\n| [**ruflo-graph-intelligence**](plugins/ruflo-graph-intelligence/) | Sublinear graph reasoning — PageRank, delta updates, complexity-aware execution (ADR-123) |\n| [**ruflo-daa**](plugins/ruflo-daa/README.md) | Dynamic agent behavior and cognitive patterns |\n| [**ruflo-ruvllm**](plugins/ruflo-ruvllm/README.md) | Run local LLMs (Ollama, etc.) with smart routing |\n| [**ruflo-goals**](plugins/ruflo-goals/README.md) | Break big goals into plans and track progress |\n\n#### Code Quality \u0026 Testing\n\n| Plugin | What it does |\n|--------|-------------|\n| [**ruflo-testgen**](plugins/ruflo-testgen/README.md) | Find missing tests and generate them automatically |\n| [**ruflo-browser**](plugins/ruflo-browser/README.md) | Automate browser testing with Playwright |\n| [**ruflo-jujutsu**](plugins/ruflo-jujutsu/README.md) | Analyze git diffs, score risk, suggest reviewers |\n| [**ruflo-docs**](plugins/ruflo-docs/README.md) | Generate and maintain documentation automatically |\n\n#### Security \u0026 Compliance\n\n| Plugin | What it does |\n|--------|-------------|\n| [**ruflo-security-audit**](plugins/ruflo-security-audit/README.md) | Scan for vulnerabilities and CVEs |\n| [**ruflo-aidefence**](plugins/ruflo-aidefence/README.md) | Block prompt injection, detect PII, safety scanning |\n\n#### Architecture \u0026 Methodology\n\n| Plugin | What it does |\n|--------|-------------|\n| [**ruflo-adr**](plugins/ruflo-adr/README.md) | Track architecture decisions with a living record |\n| [**ruflo-ddd**](plugins/ruflo-ddd/README.md) | Scaffold domain-driven design — contexts, aggregates, events |\n| [**ruflo-sparc**](plugins/ruflo-sparc/README.md) | Guided 5-phase development methodology with quality gates |\n\n#### DevOps \u0026 Observability\n\n| Plugin | What it does |\n|--------|-------------|\n| [**ruflo-migrations**](plugins/ruflo-migrations/README.md) | Manage database schema changes safely |\n| [**ruflo-observability**](plugins/ruflo-observability/README.md) | Structured logs, traces, and metrics in one place |\n| [**ruflo-cost-tracker**](plugins/ruflo-cost-tracker/README.md) | Track token usage, set budgets, get cost alerts |\n\n#### Extensibility\n\n| Plugin | What it does |\n|--------|-------------|\n| [**ruflo-agent**](plugins/ruflo-agent/README.md) | Run agents — local WASM sandbox (rvagent) + Anthropic Claude Managed Agents (cloud) |\n| [**ruflo-plugin-creator**](plugins/ruflo-plugin-creator/README.md) | Scaffold, validate, and publish your own plugins |\n\n#### Domain-Specific\n\n| Plugin | What it does |\n|--------|-------------|\n| [**ruflo-iot-cognitum**](plugins/ruflo-iot-cognitum/README.md) | IoT device management — trust scoring, anomaly detection, fleets |\n| [**ruflo-neural-trader**](plugins/ruflo-neural-trader/README.md) | [`neural-trader`](https://npmjs.com/package/neural-trader) — AI trading with 4 agents, backtesting, 112+ tools |\n| [**ruflo-market-data**](plugins/ruflo-market-data/README.md) | Ingest market data, vectorize OHLCV, detect patterns |\n\n\u003c/details\u003e\n\n### CLI Install\n\n**macOS / Linux / WSL / Git-Bash:**\n\n```bash\n# One-line install (POSIX shells only — see Windows note below)\ncurl -fsSL https://cdn.jsdelivr.net/gh/ruvnet/ruflo@main/scripts/install.sh | bash\n```\n\n**All platforms (including native Windows PowerShell / cmd):**\n\n```bash\n# Interactive setup wizard — runs identically on every platform\nnpx ruflo@latest init wizard\n\n# Quick non-interactive init\n# npx ruflo@latest init\n\n# Or install globally\nnpm install -g ruflo@latest\n```\n\n\u003e 💡 **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.\n\n### MCP Server\n\n```bash\n# Add Ruflo as an MCP server in Claude Code (canonical form, matches USERGUIDE.md)\nclaude mcp add ruflo -- npx ruflo@latest mcp start\n```\n\n---\n\n## What You Get\n\n| Capability | Description |\n|------------|-------------|\n| 🤖 **100+ Agents** | Specialized agents for coding, testing, security, docs, architecture |\n| 📡 **Comms Layer** | Zero-trust federation — agents across machines/orgs discover, authenticate, and exchange work securely |\n| 🐝 **Swarm Coordination** | Hierarchical, mesh, and adaptive topologies with consensus |\n| 🧠 **Self-Learning** | SONA neural patterns, ReasoningBank, trajectory learning |\n| 💾 **Vector Memory** | HNSW-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](docs/reviews/intelligence-system-audit-2026-05-29.md) + [`scripts/benchmark-intelligence.mjs`](scripts/benchmark-intelligence.mjs) |\n| ⚡ **Background Workers** | 12 auto-triggered workers (audit, optimize, testgaps, etc.) |\n| 🧩 **Plugin Marketplace** | 32 native Claude Code plugins + 21 npm plugins |\n| 🔌 **Multi-Provider** | Claude, GPT, Gemini, Cohere, Ollama with smart routing |\n| 🛡️ **Security** | AIDefence, input validation, CVE remediation, path traversal prevention |\n| 🌐 **Agent Federation** | Cross-installation agent collaboration with zero-trust security |\n| 💬 **[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 |\n| 🎯 **[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) |\n\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://flo.ruv.io/\"\u003e\n    \u003cimg 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%\" /\u003e\n  \u003c/a\u003e\n\u003c/p\u003e\n\n### Web UI (Beta) — self-hostable, hosted demo at [flo.ruv.io](https://flo.ruv.io/)\n\n**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.\n\n| | What it is | Why it matters |\n|---|------------|----------------|\n| 🧠 | **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). |\n| 🦾 | **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. |\n| 🛠️ | **~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. |\n| 🔌 | **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. |\n| ⚡ | **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. |\n| 💾 | **Memory that sticks** | Say *\"remember my favorite color is indigo\"* and ask weeks later — RuFlo recalls it. Backed by AgentDB + HNSW vector search (measured ~1.9x–4.7x faster than brute force above the crossover, recall@10 ~0.99). |\n| 📘 | **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. |\n| 🏠 | **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. |\n| 🚀 | **Zero install to try** | Open the hosted URL, pick a model, type a question. That's the whole onboarding. |\n\n**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.\n\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://goal.ruv.io/agents\"\u003e\n    \u003cimg 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%\" /\u003e\n  \u003c/a\u003e\n\u003c/p\u003e\n\n### Goal Planner UI — autonomous agents at [goal.ruv.io](https://goal.ruv.io/)\n\n**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).\n\n| | What it is | Why it matters |\n|---|------------|----------------|\n| 🎯 | **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. |\n| 🧭 | **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. |\n| 🤖 | **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. |\n| 🌳 | **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. |\n| ♻️ | **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. |\n| 🧠 | **Shared memory + SONA** | Plans, trajectories, and outcomes flow into AgentDB. Future plans retrieve past solutions via HNSW — the planner gets smarter with every run. |\n| 🔗 | **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. |\n| 🚀 | **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. |\n\n**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 \u0026\u0026 npm install \u0026\u0026 npm run dev`.\n\n### Agent Federation — Slack for Agents\n\n```\nYour Agent --\u003e [ Remove secrets ] --\u003e [ Sign message ] --\u003e [ Encrypted channel ]\n                 Emails, SSNs,        Proves it came       No one reads it\n                 keys stripped         from you              in transit\n                                                                |\n                                                                v\nTheir Agent \u003c-- [ Block attacks ] \u003c-- [ Check identity ] \u003c------+\n                 Stops prompt          Rejects forgeries\n                 injection\n\n                          Audit trail on both sides.\n                  Trust builds over time. Bad behavior = instant downgrade.\n```\n\nSlack 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.\n\nThe 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.\n\nYou 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.\n\n\u003e **📘 Full user guide:** [`docs/federation/`](./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`](./docs/federation/phase7-mesh-bringup.md).\n\n\u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eFederation capabilities\u003c/strong\u003e\u003c/summary\u003e\n\n| | Capability | How it works |\n|---|---|---|\n| 🔒 | **Zero-trust federation** | Remote agents start untrusted. Identity proven via mTLS + ed25519 challenge-response. No API keys, no shared secrets. |\n| 🛡️ | **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. |\n| 📊 | **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. |\n| 📋 | **Compliance built-in** | HIPAA, SOC2, GDPR audit trails as compliance modes. Every federation event produces a structured record searchable via HNSW. |\n| 🤝 | **9 MCP tools + 10 CLI commands** | Full lifecycle: `federation_init`, `federation_send`, `federation_trust`, `federation_audit`, and more. |\n\n\u003c/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eExample: two teams sharing fraud signals without sharing customer data\u003c/strong\u003e\u003c/summary\u003e\n\n```bash\n# Team A: initialize federation and generate keypair\nnpx claude-flow@latest federation init\n\n# Team A: join Team B's federation endpoint\nnpx claude-flow@latest federation join wss://team-b.example.com:8443\n\n# Team A: send a task — PII is stripped automatically before it leaves\nnpx claude-flow@latest federation send --to team-b --type task-request \\\n  --message \"Analyze transaction patterns for account anomalies\"\n\n# Team A: check peer trust levels and session health\nnpx claude-flow@latest federation status\n```\n\n\u003c/details\u003e\n\nSee [issue #1669](https://github.com/ruvnet/ruflo/issues/1669) for the complete architecture, trust model, and implementation roadmap.\n\n```bash\n# Claude Code plugin\n/plugin install ruflo-federation@ruflo\n\n# Or via CLI\nnpx claude-flow@latest plugins install @claude-flow/plugin-agent-federation\n```\n\n\u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eClaude Code: With vs Without Ruflo\u003c/strong\u003e\u003c/summary\u003e\n\n| Capability | Claude Code Alone | + Ruflo |\n|------------|-------------------|---------|\n| Agent Collaboration | Isolated, no shared context | Swarms with shared memory and consensus |\n| Coordination | Manual orchestration | Queen-led hierarchy (Raft, Byzantine, Gossip) |\n| Memory | Session-only | HNSW vector memory with sub-ms retrieval |\n| Learning | Static behavior | SONA self-learning with pattern matching |\n| Task Routing | You decide | Intelligent routing (89% accuracy) |\n| Background Workers | None | 12 auto-triggered workers |\n| LLM Providers | Anthropic only | 5 providers with failover |\n| Security | Standard | CVE-hardened with AIDefence |\n\n\u003c/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003e\u003cstrong\u003eArchitecture overview\u003c/strong\u003e\u003c/summary\u003e\n\n```\nUser --\u003e Claude Code / CLI\n          |\n          v\n    Orchestration Layer\n    (MCP Server, Router, 27 Hooks)\n          |\n          v\n    Swarm Coordination\n    (Queen, Topology, Consensus)\n          |\n          v\n    100+ Specialized Agents\n    (coder, tester, reviewer, architect, security...)\n          |\n          v\n    Memory \u0026 Learning\n    (AgentDB, HNSW, SONA, ReasoningBank)\n          |\n          v\n    LLM Providers\n    (Claude, GPT, Gemini, Cohere, Ollama)\n```\n\n\u003c/details\u003e\n\n---\n\n## Documentation\n\nFour docs for four audiences:\n\n| Doc | When to read it |\n|-----|-----------------|\n| **[Status](docs/STATUS.md)** | See what currently works — capability counts, test baselines, recent fixes, what's next. The *is-it-ready* doc. |\n| **[User Guide](docs/USERGUIDE.md)** | Daily reference — every command, every config flag, every plugin. The *how-do-I* doc. |\n| **[Benchmarks](https://gist.github.com/ruvnet/298f8c668c8859b369f91734a0e9cbbe)** | v3.8.0 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. |\n| **[Verification](verification.md)** | Cryptographically prove your installed bytes match the signed witness — `ruflo verify`. The *trust-but-verify* doc. |\n| **[Team Gateway Checklist](docs/TEAM-GATEWAY-CHECKLIST.md)** | Before-merge gates, dual-mode handoff, memory namespace sharing, and witness manifest entry per merge. The *safer-team-workflows* doc. |\n\nBenchmark internals (for reproduction): [`sota-workload-spec.md`](https://github.com/ruvnet/ruflo/blob/perf/sota-comparator-benchmarks/docs/benchmarks/sota-workload-spec.md) · [`SOTA-PROGRESS.md`](https://github.com/ruvnet/ruflo/blob/perf/sota-comparator-benchmarks/docs/benchmarks/SOTA-PROGRESS.md) · [raw matrix JSON: darwin](https://github.com/ruvnet/ruflo/blob/perf/sota-comparator-benchmarks/docs/benchmarks/sota-matrix.json) · [linux](https://github.com/ruvnet/ruflo/blob/perf/sota-comparator-benchmarks/docs/benchmarks/sota-matrix-linux.json)\n\nUser Guide section index:\n\n| Section | Topics |\n|---------|--------|\n| [Quick Start](docs/USERGUIDE.md#quick-start) | Installation, prerequisites, install profiles |\n| [Core Features](docs/USERGUIDE.md#-core-features) | MCP tools, agents, memory, neural learning |\n| [Intelligence \u0026 Learning](docs/USERGUIDE.md#-intelligence--learning) | Hooks, workers, SONA, model routing |\n| [Swarm \u0026 Coordination](docs/USERGUIDE.md#-swarm--coordination) | Topologies, consensus, hive mind |\n| [Security](docs/USERGUIDE.md#%EF%B8%8F-security) | AIDefence, CVE remediation, validation |\n| [Ecosystem](docs/USERGUIDE.md#-ecosystem--integrations) | RuVector, agentic-flow, Flow Nexus |\n| [Configuration](docs/USERGUIDE.md#%EF%B8%8F-configuration--reference) | Environment variables, config schema |\n| [Plugin Marketplace](https://ruvnet.github.io/ruflo) | Browse and install plugins |\n\n---\n\n## Support\n\n| Resource | Link |\n|----------|------|\n| Documentation | [User Guide](docs/USERGUIDE.md) |\n| Issues \u0026 Bugs | [GitHub Issues](https://github.com/ruvnet/claude-flow/issues) |\n| Enterprise | [ruv.io](https://ruv.io) |\n| Community | [Agentics Foundation Discord](https://discord.com/invite/dfxmpwkG2D) |\n| Powered by | [Cognitum.one](https://cognitum.one) |\n\n## License\n\nMIT - [RuvNet](https://github.com/ruvnet)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fruvnet%2Fruflo","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fruvnet%2Fruflo","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fruvnet%2Fruflo/lists"}