Claude Skill
mosaxiv/clawlet
Clawlet 是一个使用 Go 语言构建的高效超轻量级个人 AI 助手。专为高性能个人辅助和任务自动化设计，资源占用极低。
概览
仓库信息
安装这个 Skill
docker run -v ~/.clawlet:/root/.clawlet --rm clawlet onboardRegistry 信息
docker run -v ~/.clawlet:/root/.clawlet --rm clawlet onboarddocker run -v ~/.clawlet:/root/.clawlet clawlet gatewaydocker run -v ~/.clawlet:/root/.clawlet --rm clawlet agent -m "Hello"docker run -v ~/.clawlet:/root/.clawlet --rm clawlet status
项目简介
Clawlet 是一个使用 Go 语言构建的超轻量级高效个人 AI 助手，专为高性能个人辅助任务设计。
Ultra-lightweight and efficient personal AI assistant
要点
- 超轻量级架构
- 高效率与高性能
- 使用 Go 编程语言构建
- 个人 AI 助手功能
- OpenClaw 集成
使用场景
- 个人生产力辅助
- 轻量级 AI 任务自动化
- 高效个人助手应用
- 基于 Go 的 AI 工具开发
- 最小资源 AI 解决方案
README 摘要
<div align="center"> <img src="clawlet.png" alt="clawlet" width="500"> <h1>Clawlet</h1> <h3>Ultra-lightweight and efficient personal AI assistant</h3> </div> **Clawlet** is a lightweight personal AI agent with hybrid semantic memory search — a single static binary with no runtime and no CGO. Bundled SQLite + sqlite-vec. Drop it on any machine and memory search just works. This project is inspired by **OpenClaw** and **nanobot**. ## Install Download from [GitHub Releases](https://github.com/mosaxiv/clawlet/releases/latest). macOS (Apple Silicon): ```bash curl -L https://github.com/mosaxiv/clawlet/releases/latest/download/clawlet_Darwin_arm64.tar.gz | tar xz mv clawlet ~/.local/bin/ ``` ## Quick Start ```bash # Initialize clawlet onboard \ --openrouter-api-key "sk-or-..." \ --model "openrouter/anthropic/claude-sonnet-4.5" # Check effective configuration clawlet status # Chat clawlet agent -m "What is 2+2?" ``` ## Configuration (`~/.clawlet/config.json`) Config file: `~/.clawlet/config.json` ### Supported providers clawlet currently supports these LLM providers: - **OpenAI** (`openai/<model>`, API key: `env.OPENAI_API_KEY`) - **OpenAI Codex (OAuth)** (`openai-codex/<model>`, no API key; login: `clawlet provider login openai-codex`) - **OpenRouter** (`openrouter/<provider>/<model>`, API key: `env.OPENROUTER_API_KEY`) - **Anthropic** (`anthropic/<model>`, API key: `env.ANTHROPIC_API_KEY`) - **Gemini** (`gemini/<model>`, API key: `env.GEMINI_API_KEY` or `env.GOOGLE_API_KEY`) - **Local (Ollama / vLLM / OpenAI-compatible local endpoint)** (`ollama/<model>` or `local/<model>`, default base URL: `http://localhost:11434/v1`, API key optional) Minimal config (OpenRouter): ```json { "env": { "OPENROUTER_API_KEY": "sk-or-..." }, "agents": { "defaults":