### Optional: ruOS Desktop

**Connect ruOS to ChatGPT or Claude via MCP:**
```text
https://ruos.cognitum.one/mcp
```

```bash
npx ruvector
```
# Ruflo
[English](README.md) · [简体中文](README.zh-CN.md)
[](docs/ruflo-explained.md)
**[📖 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.