插件介绍
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
项目详情摘要
An agent meta-harness for Claude Code and Codex.** 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: 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: For clients that support local stdio MCP servers, configure **command** `npx` and **arguments** `["-y", "ruflo@latest", "mcp", "start"]`. The equivalent server command is: 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 · Open the console · User guide Optional: ruOS Desktop Connect ruOS to ChatGPT or Claude via MCP:** Ruflo English · 简体中文 📖 RuFlo Explained — 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** — 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,
摘自项目公开 README，可能随上游仓库更新。安装方法
建议先在测试 Profile 中安装，并检查权限、安装脚本和依赖。
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ruvnet/ruflo
使用前检查
- 确认项目符合 DSH bundle 规范，而不只是相关仓库。
- 阅读许可证和安装脚本，检查网络、文件及执行权限。
- 备份配置，并确保插件能够安全卸载或回滚。