claw0

claw0 is an open-source, educational AI agent and gateway harness created by shareAI-lab. Rather than functioning purely as a standalone production coding assistant, it is structured as a progressive implementation guide designed to take developers from a basic LLM API loop to a modular, production-ready AI agent gateway in Python. Under the hood, claw0 breaks down agentic development into 10 self-contained, progressive sections across roughly 7,000 lines of Python. Each section is a runnable standalone file introducing a distinct architectural concept—such as basic agent loops, session state management, and command routing—while retaining backward compatibility with previous steps. Day-to-day use involves executing the Python session scripts, configuring environment keys via a standard `.env` file, and interacting with terminal-based agent sessions. What distinguishes claw0 is its explicit role as a pedagogical reference implementation for the larger OpenClaw agent architecture. Instead of hiding harness mechanics behind prepackaged binaries, claw0 exposes session management mechanisms (including interactive session switching commands like `/switch`), workspace sandboxing, and loop handling in clear Python code. claw0 is released as an open-source repository on GitHub with trilingual documentation (English, Chinese, and Japanese). It requires standard Python dependencies and developer-supplied LLM API credentials.

Tags: agent harness, AI, ai agent, cli, developer tools, OpenSource

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Key features

  • Progressive 10-section architecture — Implements 10 standalone, executable Python stages teaching agent gateway design from basic loops to complex gateways. - Session management — Includes interactive session switching and session label prefix matching directly via terminal commands like /switch. - Isolated workspace structure — Organizes agent-driven actions and code modifications within dedicated workspace folders. - Self-contained execution — Ensures every milestone is encapsulated in single, runnable Python files for rapid inspection and debugging. - Trilingual documentation — Provides co-located documentation and code walkthroughs in English, Simplified Chinese, and Japanese.

Use cases

Use Case: Learning Agent Gateway Architecture Developers looking to understand the inner workings of coding agents can step through claw0's 10 Python stages sequentially to study agent loop design, state isolation, and harness routing from scratch.

Use Case: Prototyping Custom CLI Agent Harnesses Engineers building proprietary or specialized terminal agent loops can use claw0's modular codebase as a minimal foundation for custom session routing and command handlers.

Use Case: Onboarding to OpenClaw Codebase Contributors and engineers preparing to work on production-grade OpenClaw systems can run claw0 locally to build familiarity with the core gateway concepts and session models.

Who it is for

claw0 is designed for AI engineers and backend developers who want to understand, build, or customize terminal agent harnesses and gateways at the code level. It is not intended for end users seeking an out-of-the-box, closed-source CLI assistant with polished GUI/IDE extensions.

Install guide

Installation Clone the repository and install the required Python dependencies: bash git clone https://github.com/shareAI-lab/claw0.git cd claw0 pip install -r requirements.txt

First Run Configure your environment variables by copying the template: bash cp .env.example .env # Edit .env with your LLM API keys and model configuration

Example Session Run the initial agent loop script to start an interactive terminal session: bash # Execute a specific section (e.g., section 1 agent loop) python sessions/s01.py # Switch sessions during execution /switch <session_label>

Part of CLI Coding Agents

Categories: AI Coding Agents, Developer Tools, Education

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