AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
io.github.ruvnet/claude-flow MCP Server
This MCP server is described as an AI orchestration solution using “hive-mind swarms” and neural networks, and it provides 87 MCP tools for enterprise development workflows. The server’s identity is listed as io.github.ruvnet/claude-flow, with focus areas that include agentic systems and multi-agent coordination.
🛠️ Key Features
AI orchestration using hive-mind swarms
Neural networks
87 MCP tools
Topics include multi-agent, swarm intelligence, and autonomous agents
🚀 Use Cases
Enterprise development workflows that require MCP tool access
Multi-agent systems and agentic workflows
Agentic coordination across “skills” and multi-agent setups
⚡ Developer Benefits
Provides a large set of MCP tools (87)
Integrates with ecosystems referenced by topics (e.g., npm, TypeScript)
Supports “agentic workflow” and multi-agent system development concepts
⚠️ Limitations
Source data does not specify tool names, configuration, authentication, or supported platforms beyond described topics
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.
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.
📖 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.
The ruflo console inside Claude Code: swarm topology, claims, approvals, missions, events and more
The /ruflo console running in Claude Code (Claude on the left third, the cockpit on the right two thirds; drag the divider to resize): agents spawned and tasks created from the prompt show up live in the swarm, claims and memory views. npx ruflo init, restart Claude Code, then /ruflo.
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):
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
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)
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-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.
# 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):
bash
# 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
bash
# Add Ruflo as an MCP server in Claude Code
claude mcp add claude-flow -- 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 — 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
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.
Agent Federation — Slack for Agents
code
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 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
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.
Example: two teams sharing fraud signals without sharing customer data
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
See issue #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
Claude Code: With vs Without Ruflo
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
Architecture overview
code
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)
How 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.
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.