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agentic-aiagentic-frameworkagentic-ragagentic-workflow

๐ŸŒŠ 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

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description README.md

Ruflo animated neon sign

An agent meta-harness for Claude Code and Codex.

npm version (ruflo) MIT License Star on GitHub

Ecosystem npm downloads: 12.52M over 12 months through October 4, 2026
Claude Code Codex Plugin

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 ยท Open the console ยท User guide

Optional: ruOS Desktop

ruOS โ€” A desktop that runs itself

Connect ruOS to ChatGPT or Claude via MCP:

https://ruos.cognitum.one/mcp

RuVector: Give your agents memory. Local vector search, persistent context, graph relationships and feedback learning. Explore RuVector.

npx ruvector

Ruflo

English ยท ็ฎ€ไฝ“ไธญๆ–‡

RuFlo Explained โ€” build an AI team that plans, remembers, tests, and improves

๐Ÿ“– RuFlo Explained โ€” 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 โ€” 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 โ€” with federation โ€” securely talk to agents on other machines without leaking data. You keep writing code. Ruflo handles the coordination.

Ruflo trajectory learning: branching memory paths, outcome feedback, contrastive AI and local learning. No LLM required for local vector retrieval and contrastive updates; agent execution may still use an LLM.

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.

Architecture in text

User โ†’ Ruflo (CLI/MCP) โ†’ Router โ†’ Swarm โ†’ Agents โ†’ Memory โ†’ 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 โ€” the hooks system automatically routes tasks, learns from successful patterns, and coordinates agents in the background.

๐Ÿ“– Background โ€” where the name comes from

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 working until 3am. Underneath, powered by Cognitum.One agentic architecture, running a supercharged Rust-based AI engine, embeddings, memory, and plugin system.


Mission control: inspect agent work

An animated recording of the ruflo console inside Claude Code: the boot (the neon sign and every area checked), then the Workflows page on a sample run: phases and agents with model, tokens and time; drilling from a run into one agent's activity, log and result; search; failure triage; cost; replay and compare; the control tab with a confirm card; and the mission autopilot panel

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 โ†’ 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.