Claude Skill
fastclaw-ai/fastclaw
FastClaw 是一个用 Go 编写的高性能开源 OpenClaw 替代方案,通过并发任务编排为 AI 代理工作流提供更快的执行速度和更高的效率。
概览
仓库信息
安装这个 Skill
git clone https://github.com/fastclaw-ai/fastclaw.gitRegistry 信息
项目简介
FastClaw 是一个用 Go 语言编写的高性能开源 OpenClaw 替代方案,旨在通过 Go 的并发模型实现更快的执行速度和更高的效率,适用于 AI 代理工作流的可扩展任务编排。
Faster and better openclaw alternative
要点
- 使用 Go 语言编写,具备高并发和高性能
- 作为 OpenClaw 的即插即用替代方案,速度更快
- 轻量级架构,资源利用高效
- 开源且社区活跃开发中
使用场景
- 加速 AI 代理任务执行流水线
- 在现有代理编排设置中替代 OpenClaw
- 构建可扩展的并发代理工作流
- 优化资源受限的部署环境
README 摘要
<div align="center"> # FastClaw A lightweight AI Agent runtime written in Go. [](https://go.dev) **Single binary - Any LLM - Multi-agent - Sandbox - Cloud-ready** [Quick Start](#quick-start) - [Architecture](#architecture) - [Features](#features) - [License](#license) </div> --- <p align="center"> <img src="previews/admin.png" alt="FastClaw admin dashboard" width="900"> <br> <em>Platform admin: agents, models, skills, users, API keys</em> </p> <p align="center"> <img src="previews/agent.png" alt="FastClaw agent management" width="900"> <br> <em>Per-agent management: chat, customize, scoped models / skills / channels / scheduler</em> </p> ## What is FastClaw? FastClaw is an **Agent Factory** — it creates, manages, and runs AI agents. Each agent has its own personality (SOUL.md), memory, skills, and tools. FastClaw handles the LLM communication, tool execution, sandbox isolation, and session management. ```bash # Install (drops the binary into ~/.local/bin and adds it to PATH) curl -fsSL https://raw.githubusercontent.com/fastclaw-ai/fastclaw/main/install.sh | bash ``` ## Quick Start ### 1. First Run ```bash fastclaw # Opens setup wizard → configure LLM provider → creates default agent. # Foreground mode; ^C to stop. Use `fastclaw daemon start` to run in # the background, or `fastclaw daemon install` to register a # launchd / systemd service. ``` ### 2. Dashboard Open `http://localhost:18953` and login with your admin token. - **Agents** — Create and manage agents, each with its own personality and model - **Skills** — Install shared skills from ClawHub or GitHub - **Models** — Configure LLM providers (OpenAI, Anthropic, Ollama, OpenRouter, etc.) - **API Keys** — Issue progr
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