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AutoClaw is a hyper-lightweight AI agent designed to live inside Docker containers. Unlike heavy, GUI-dependent agents, AutoClaw is built for headless, massive-scale concurrency.
| Date | Stars |
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| 2026-07-31 | 259 |
| 2026-08-06 | 259 |
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# AutoClaw 🦞
[](https://www.npmjs.com/package/autoclaw)
[](https://www.npmjs.com/package/autoclaw)
[](https://github.com/tsingliuwin/autoclaw)
[](https://github.com/tsingliuwin/autoclaw/blob/main/LICENSE)
[](http://makeapullrequest.com)
**The Engineering-First Headless Agent Framework: Stable, Scalable Automation for the Post-Vision Era.**
English | [简体中文](./README.zh-CN.md)
---
🔗 **GitHub Repository**: [https://github.com/tsingliuwin/autoclaw](https://github.com/tsingliuwin/autoclaw)
---
AutoClaw is a high-stability, open-source automation framework specifically engineered for **headless systems**.
Unlike "screen-seeing" agents (such as OpenClaw) that rely on visual interpretation, AutoClaw is built on a foundation of precise command-driven execution. This makes it significantly more **stable**, **robust from an engineering perspective**, and **easier to scale** across complex environments—whether it's a local server, a CI/CD pipeline, or thousands of containerized nodes.
## Why AutoClaw?
- 🐳 **Docker Native**: Built to run safely inside containers. Minimal footprint (Node.js/Alpine friendly).
- 🚀 **Better Engineering**: Operates via precise system APIs and shell commands rather than unstable visual recognition, ensuring deterministic outcomes.
- 🛡️ **Superior Stability**: Immune to issues like UI rendering, screen resolution, or network lag that plague vision-based agents.
- 📈 **Massive Scalability**: Low resource consumption allows orchestrating thousands of instances (e.g., in K8s) for true automation swarms.
- 🔌 **Swarm Ready**: Stateless design allows for easy orchestration via K8s, Docker Swarm, or simple shell loops.
- 🧩 **Extensible Integrations**: Built-in support for Web Search (Tavily), Email (SMTP), and Notification Webhooks (Feishu, DingTalk, WeCom).
## Features
- 📜 **Headless Execution**: No browsers, no GUIs. Pure terminal efficiency.
- 🤖 **Non-Interactive Mode**: Intelligent flag handling (`-y`, `--no-interactive`) for zero-touch automation.
- 📂 **Universal Control**: From simple file I/O to complex system administration.
- 🧠 **Context Aware**: Detects container environments and provides accurate system time for relative date queries.
- 🌐 **Web Search**: Integrated with Tavily for real-time information retrieval.
- 🕒 **Time Accuracy**: Built-in tool to get precise system date and time for correct temporal context.
- 📧 **Communication**: Send emails and push notifications to chat groups automatically.
## Tech Stack
- **Runtime**: Node.js
- **Language**: TypeScript
- **Framework**: Commander.js
- **UI**: Inquirer (interactivity), Chalk (styling), Ora (spinners)
- **AI**: OpenAI SDK (Compatible with DeepSeek, LocalLLM, etc.)
## Installation
### User Installation
Install globally via npm:
```bash
npm install -g autoclaw
```
### Development Installation
1. Clone the repository:
```bash
git clone https://github.com/tsingliuwin/autoclaw.git
cd autoclaw
```
2. Install dependencies:
```bash
npm install
```
3. Build the project:
```bash
npm run build
```
4. Link globally (optional):
```bash
npm link
```
## Quick Start
1. **Setup**: Run the interactive setup wizard to configure your API keys and integrations.
```bash
autoclaw setup
```
2. **Run**: Start the agent in interactive mode.
```bash
autoclaw
```
## Usage
### Interactive Mode
Simply run `autoclaw` to enter the chat loop.
```bash
autoclaw
> List all TypeScript files in the src folder.
```
### Headless Mode (One-Shot)
Run a single command and exit.
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:22b3f4dc6e864046, llm:description: 'AutoClaw is a hyper-lightweight AI agent designed to live inside Docker containers... built for headless, massive-scale concurrency.'