🌊 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 https://Cognitum.One
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ruv f8ab5a3255 fix(witness): #2021 — refresh stale markers, regen signed manifest, add fast drift CI guard
#2021 (HIGH) fired after the alpha.43 release chain: bumping
`@claude-flow/cli`'s `@claude-flow/memory` pin from alpha.14 → 16
removed the literal string `"@claude-flow/memory": "^3.0.0-alpha.14"`
from `v3/@claude-flow/cli/package.json`, which was the marker for
fix `#1825`. The scheduled cron started reporting `regressed=1` on
all 3 OS manifests.

Three additional ADR markers were ALSO regressed (pre-existing,
not part of #2021's scope) — `ADR-104-transport`, `ADR-107-tls-pinning`,
`ADR-104-stream-mux` — all pointing at
`v3/@claude-flow/plugin-agent-federation/dist/plugin.js`. Those
symbols (`loadQuicTransport`, `agentic-flow/transport/loader`)
moved to `dist/transport/midstream-aware-loader.js` in an earlier
refactor; the markers never followed. Cleaning them up while in here
since they're the same drift class and the new CI guard would block
publish on them anyway.

## Marker fixes (verification/{macos,linux,windows}/manifest.md.json)

  #1825              v3/@claude-flow/cli/package.json
                       marker: "@claude-flow/memory": "^3.0.0-alpha.14"
                            →  "@claude-flow/memory": "^3.0.0-alpha.
                       (version-agnostic prefix — survives future bumps)

  ADR-104-transport  was: dist/plugin.js  marker: agentic-flow/transport/loader
                     now: dist/transport/midstream-aware-loader.js  marker: loadQuicTransport

  ADR-107-tls-pinning  was: dist/plugin.js  marker: loadQuicTransport
                       now: dist/transport/midstream-aware-loader.js  marker: loadQuicTransport

  ADR-104-stream-mux  was: dist/plugin.js  marker: loadQuicTransport
                      now: dist/transport/midstream-aware-loader.js  marker: loadQuicTransport

Re-signed all 3 OS manifests via plugins/ruflo-core/scripts/witness/regen.mjs.
History.jsonl appended for each OS.

## Final manifest state (local verify, built tree)

  macos:   pass=113 drift=0 regressed=0 missing=0  exit=0
  linux:   pass=113 drift=0 regressed=0 missing=0  exit=0
  windows: pass=113 drift=0 regressed=0 missing=0  exit=0

## New CI guard: witness-marker-drift-smoke (#2021)

The slow `witness-verify` job catches drift but runs cross-platform
matrix + dist builds — direct pushes to main (e.g. release chains)
can land before it surfaces a regression. The scheduled 12h cron
then files HIGH-severity issues post-merge.

scripts/smoke-witness-marker-drift.mjs is a fast static-only smoke:
  - No build step
  - No cryptographic signature check (drift is a markers-vs-source
    gap, not an integrity gap — separate concern)
  - No native deps
  - For every fix in verification/<os>/manifest.md.json:
      - If cited file exists AND marker string is missing → exit 1
      - If cited file doesn't exist → skip (that's #1880's territory,
        handled by witness-verify-precondition-smoke)

Wired into witness-verify's `needs:` so drift blocks publish.
Validated with negative test: broke #1825 marker locally, smoke
exited 1 and named the regressed id correctly; restored, smoke
returned to exit 0.

Co-Authored-By: RuFlo <ruv@ruv.net>
2026-05-16 19:20:26 -04:00
.agents docs(skill): verification-quality — document the actual CI guards + fix branding 2026-05-11 10:15:12 -04:00
.claude fix(hooks): #2017 — defensive pre-bash + new CI gate against silent-swallow shape 2026-05-15 22:29:21 -04:00
.claude-plugin feat(ruflo-agent): rename ruflo-wasm → ruflo-agent + Claude Managed Agents (cloud) runtime — ADR-115 (proposed→accepted, implemented) (#1929) 2026-05-12 10:24:03 -04:00
.githooks [feat] Complete agentic-flow integration with execution layer fixes 2025-10-10 23:28:11 +00:00
.github fix(witness): #2021 — refresh stale markers, regen signed manifest, add fast drift CI guard 2026-05-16 19:20:26 -04:00
bin feat: Ruflo v3.5.0 — first major stable release with full agentic-flow integration 2026-02-27 22:37:14 +00:00
docs feat(ruflo-agent): rename ruflo-wasm → ruflo-agent + Claude Managed Agents (cloud) runtime — ADR-115 (proposed→accepted, implemented) (#1929) 2026-05-12 10:24:03 -04:00
plugin fix(#1921): plugin hooks use a resilient shim, not bare npx @alpha per fire (#1923) 2026-05-12 00:51:18 -04:00
plugins fix(browser): #2015 round 2 — strip bogus --kind flag, ship alpha.42 2026-05-16 09:02:08 -04:00
ruflo release(alpha.43+44): pin neural→sona@0.1.5, republish modules w/ standalone READMEs, add npm download badges everywhere (#2022) 2026-05-16 16:46:34 -04:00
scripts fix(witness): #2021 — refresh stale markers, regen signed manifest, add fast drift CI guard 2026-05-16 19:20:26 -04:00
tests feat(ADR-057): RVF native storage with security hardening (#1244) 2026-02-27 21:46:53 -05:00
v3 release(alpha.43+44): pin neural→sona@0.1.5, republish modules w/ standalone READMEs, add npm download badges everywhere (#2022) 2026-05-16 16:46:34 -04:00
verification fix(witness): #2021 — refresh stale markers, regen signed manifest, add fast drift CI guard 2026-05-16 19:20:26 -04:00
.gitignore security: untrack .env files + broaden .gitignore to block .env.* 2026-05-04 23:44:43 -04:00
.npmignore chore(repo): archive legacy v2/ codebase under archive/v2/ 2026-05-05 22:02:21 -04:00
agentdb.rvf feat(mcp): ADR-112 — 285/285 tool descriptions have 'Use when …' guidance + CI guard + #1892 statusline (#1897) 2026-05-11 00:29:58 -04:00
agentdb.rvf.lock feat(mcp): ADR-112 — 285/285 tool descriptions have 'Use when …' guidance + CI guard + #1892 statusline (#1897) 2026-05-11 00:29:58 -04:00
AGENTS.md Checkpoint: File edits 2026-02-07 18:18:17 +00:00
CHANGELOG.md feat: Ruflo v3.5.0 — first major stable release with full agentic-flow integration 2026-02-27 22:37:14 +00:00
CLAUDE.local.md Checkpoint: File edits 2026-02-02 04:19:59 +00:00
CLAUDE.md feat: lean CLAUDE.md generator with SendMessage-first coordination 2026-04-29 19:29:02 -04:00
LICENSE fix(memory): support namespace in delete command (#981) 2026-01-22 11:27:16 -05:00
package-lock.json fix(#1916): register agent_logs + hive worker resolution + all 20 dangling CLI↔MCP tools — published 3.7.0-alpha.26 (#1924) 2026-05-12 00:40:47 -04:00
package.json release(alpha.43+44): pin neural→sona@0.1.5, republish modules w/ standalone READMEs, add npm download badges everywhere (#2022) 2026-05-16 16:46:34 -04:00
pnpm-lock.yaml fix(skills): prune duplicate skill sources to fix truncation (closes #1834) (#1836) 2026-05-07 12:57:36 -04:00
README.md release(alpha.43+44): pin neural→sona@0.1.5, republish modules w/ standalone READMEs, add npm download badges everywhere (#2022) 2026-05-16 16:46:34 -04:00
ruflo-plugins.gif fix: rename plugin commands to avoid built-in conflicts; bump default Opus to 4.7 (#1678) 2026-04-30 10:56:47 -04:00
SECURITY.md docs: update SECURITY.md contact email 2026-03-19 15:49:54 +00:00
tsconfig.json checkpoint: File edit: 2026-01-04 17:23:57 +00:00

Ruflo Banner

Try the UI Beta — flo.ruv.io Goal Planner — goal.ruv.io Live Agents — goal.ruv.io/agents

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Star on GitHub MIT License Claude Code Codex Plugin 🕸️ RuVector Graph Ai

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Ruflo

Multi-agent AI orchestration for Claude Code

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, 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.

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.


Ruflo Plugins

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)

# 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.

🔌 All 32 plugins

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-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-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 (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 Multi-model chat at flo.ruv.io with parallel MCP tool calling and an in-browser WASM tool gallery
🎯 RuFlo Research GOAP A* planner at goal.ruv.io — plain-English goals → executable agent plans, with a live agent dashboard at /agents

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.

Web UI (Beta) — self-hostable, hosted demo at 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 (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 46+ 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 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/ — no account, no API key. Run your own: the source lives in 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 for the architecture and issue #1689 for the roadmap.

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.

Goal Planner UI — autonomous agents at 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.

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 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, describe a goal, watch it run. Source lives in v3/goal_ui/ — Vite + Supabase, self-hostable.

Try it: https://goal.ruv.io/ for goals · 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 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
# 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.

# 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
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)

Documentation

Three docs for three audiences:

Doc When to read it
Status See what currently works — capability counts, test baselines, recent fixes, what's next. The is-it-ready doc.
User Guide Daily reference — every command, every config flag, every plugin. The how-do-I doc.
Verification Cryptographically prove your installed bytes match the signed witness — ruflo verify. The trust-but-verify doc.

User Guide section index:

Section Topics
Quick Start Installation, prerequisites, install profiles
Core Features MCP tools, agents, memory, neural learning
Intelligence & Learning Hooks, workers, SONA, model routing
Swarm & Coordination Topologies, consensus, hive mind
Security AIDefence, CVE remediation, validation
Ecosystem RuVector, agentic-flow, Flow Nexus
Configuration Environment variables, config schema
Plugin Marketplace Browse and install plugins

Support

Resource Link
Documentation User Guide
Issues & Bugs GitHub Issues
Enterprise ruv.io
Community Agentics Foundation Discord
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License

MIT - RuvNet