By abdhenni
Self-learning neural intelligence with SONA patterns, trajectory learning, and intelligent model routing
Uses power tools
Uses Bash, Write, or Edit tools
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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 โ so agents don't just run, they collaborate.
Claude Flow is now Ruflo โ 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.
One init gives Claude Code a nervous system: agents self-organize into swarms, learn from every task, remember across sessions, and โ with federation โ 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.

Install Ruflo as a native Claude Code plugin -- adds skills, commands, agents, and MCP tools directly:
# 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
| Plugin | What it does |
|---|---|
| ruflo-core | Foundation โ 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 |
| Plugin | What it does |
|---|---|
| ruflo-agentdb | Fast vector database for agent memory |
| ruflo-rag-memory | Smart retrieval โ hybrid search, graph hops, diversity ranking |
| ruflo-rvf | Save and restore agent memory across sessions |
| ruflo-ruvector | ruvector โ GPU-accelerated search, Graph RAG, 103 tools |
| ruflo-knowledge-graph | Build and traverse entity relationship maps |
| 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 |
| 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 |
| Plugin | What it does |
|---|---|
| ruflo-security-audit | Scan for vulnerabilities and CVEs |
| ruflo-aidefence | Block prompt injection, detect PII, safety scanning |
npx claudepluginhub abdhenni/ruflo --plugin ruflo-intelligenceCross-installation agent federation with zero-trust security, peer discovery, consensus-based task routing, and per-call budget circuit breaker (ADR-097)
Test gap detection, coverage analysis, and automated test generation
Market data ingestion โ feed normalization, OHLCV vectorization, and HNSW-indexed pattern matching
Knowledge graph construction โ entity extraction, relation mapping, and pathfinder graph traversal
Advanced git workflows with diff analysis, risk scoring, and reviewer recommendations
Ultra-compressed communication mode. Cuts 65% of output tokens (measured) while keeping full technical accuracy by speaking like a caveman.
Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
Multi-model consensus engine integrating OpenAI Codex CLI, Gemini CLI, and Claude CLI for collaborative code review and problem-solving.
Unified capability management center for Skills, Agents, and Commands.
Standalone image generation plugin using Nano Banana MCP server. Generates and edits images, icons, diagrams, patterns, and visual assets via Gemini image models. No Gemini CLI dependency required.
Write feature specs, plan roadmaps, and synthesize user research faster. Keep stakeholders updated and stay ahead of the competitive landscape.