claude-flow

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.

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.

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.

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.

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Your agent cockpit. Track workflows, agents, models, tokens and cost beside Claude Code. The animation shows startup checks and a sample workflow, not a live session.

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 separate workflow animation uses sample data; 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 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	Only if ruflo-core is installed (it ships its own .mcp.json) — most other plugins don't	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)

# 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.

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 — 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-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

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
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

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-agent	Run agents — local WASM sandbox (rvagent) + Anthropic Claude Managed Agents (cloud)
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 — 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

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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 — 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 Workers	12 auto-triggered workers (audit, optimize, testgaps, etc.)
Plugin Marketplace	33 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
MetaHarness	Audit 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.