Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"ruflo": {
"command": "npx",
"args": [
"-y",
"ruflo",
"mcp",
"start"
]
}
}
}Run this in your terminal
claude mcp add ruflo -- npx -y ruflo mcp startPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"ruflo": {
"command": "npx",
"args": [
"-y",
"ruflo",
"mcp",
"start"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"ruflo": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"ruflo",
"mcp",
"start"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 10, 2026
The registry name was verified with the GitHub account ruvnet, which owns the repo
Code last changed today
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 2 of 2 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed today, and the latest version (3.75.0) reached the registry today.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Context7, Metabase, Codebase Memory
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Lets AI clients search, explore, query, and visualize data in a Metabase instance.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
An agent meta-harness for Claude Code and Codex.
[📖 RuFlo Explained — Build an AI Team That Plans, Remembers, Tests, and Improves](../docs/ruflo-explained.md) 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.
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 406 MCP tools or 61 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 byCognitum.Oneagentic architecture, running a supercharged Rust-based AI engine, embeddings, memory, and plugin system.
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 |
# Add the marketplace
/plugin marketplace add ruvnet/ruflo
/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.
🔌 All 48 plugins
| 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 |
| ruflo-console | Cockpit inside Claude Code, and the /ruflo command for ruflo mods |
| ruflo-mods | In-process Claude Code mod — routing, learning signals, and policy checks |
| ruflo-ai-team | Tenant-isolated team that divides work and returns evidence |
| ruflo-agntcy | AGNTCY/Outshift transport and intent-scoped tool authorization |
| ruflo-bbs-federation | AgentBBS rooms so agents on different hosts can coordinate |
| ruflo-chatgpt-federation | ChatGPT federation publisher with its own signing keys |
| ruflo-x-gateway | Signed federation messages, channels, and work claims |
| ruflo-business-pods | Business-domain pod templates and a dry-run tick runner |
| 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 |
| 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 |
| ruflo-deepseek-harness | Agents, commands, and skills for DeepSeek-backed workflows |
| 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-rure | Static analysis of a local JS/Electron app you are authorized to study, with file and line evidence |
| 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 |
| ruflo-protector | Optional watchdog for unattended agents — learn, notify, or enforce |
| 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](../plugins/ruflo-metaharness/RE