Metadata-Version: 2.4
Name: openclaw
Version: 2026.3.3
Summary: OpenClaw — open-source agent orchestration plugin for CMDOP
Project-URL: Homepage, https://cmdop.com
Project-URL: Documentation, https://cmdop.com/docs/sdk/python/
Project-URL: Repository, https://github.com/commandoperator/cmdop-sdk-python
Project-URL: Bug Tracker, https://github.com/commandoperator/cmdop-sdk-python/issues
License: MIT
Keywords: agent,automation,cmdop,open-source,openclaw,orchestration
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.9
Requires-Dist: cmdop
Requires-Dist: pydantic>=2.0
Description-Content-Type: text/markdown

# OpenClaw — Extensible Open-Source AI Agent Orchestration for Python

[![PyPI](https://img.shields.io/pypi/v/openclaw.svg)](https://pypi.org/project/openclaw/) [![Python](https://img.shields.io/pypi/pyversions/openclaw.svg)](https://pypi.org/project/openclaw/) [![license](https://img.shields.io/pypi/l/openclaw.svg)](https://github.com/commandoperator/cmdop-sdk-python/blob/main/LICENSE)

![CMDOP Architecture](https://cmdop.com/images/architecture/vs-personal-agent.png)

OpenClaw delivers an extensible automation framework for open-source agent orchestration and an AI plugin system in Python. Unlike LangChain, CrewAI, AutoGen, and Semantic Kernel, OpenClaw prioritizes modularity. Construct adaptable AI workflows, manage plugin dependencies, and deploy sophisticated agent networks with our Python library.

## Features

- Orchestrate complex workflows using our open-source agent orchestration engine.
- Develop custom tools via our flexible AI plugin system in Python.
- Integrate existing AI models into our extensible automation framework.
- Manage agent lifecycles with OpenClaw's resource management tools.
- Extend agent capabilities using community-built plugins.

## Use Cases

- Build and register custom plugins for agent behavior
- Chain AI tasks in sequential pipelines with context passing
- Extend CMDOP with community-built orchestration logic

## Installation

```bash
pip install openclaw
```

## Quick Start

```python
from openclaw2 import OpenClaw

client = OpenClaw.remote(api_key="cmdop_live_xxx")

results = client.pipeline([
    "Summarize the current state of the server",
    "Create an optimization plan based on the summary",
    "Write a brief report",
])
print(results[-1])

class LoggerPlugin:
    name = "logger"
    def install(self, c): print(f"Plugin installed on {c}")

client.use(LoggerPlugin())
```

## CLI

No SDK needed? Connect via standalone binary:

```bash
curl -fsSL cmdop.com/install-cli.sh | bash
cmdok ssh
```

![cmdok ssh](https://raw.githubusercontent.com/commandoperator/cmdop-sdk-js/main/assets/cmdok-ssh.gif)

## Links

- [CMDOP Homepage](https://cmdop.com)
- [Documentation](https://cmdop.com/docs/sdk/python/)
- [openclaw on PyPI](https://pypi.org/project/openclaw/)
- [GitHub](https://github.com/commandoperator/cmdop-sdk-python)
