# Apply Technique: OpenCLAW: A Developer's Guide to the Agentic AI Framework
## What This Is
OpenCLAW is a flexible, open-source software framework that lets your developers build and control custom AI assistants, called 'agents,' to automate complex business tasks. These agents can work together using different applications and APIs, all running on your own systems for maximum control and security.
Source: https://stormy.ai/blog/mastering-multi-platform-distribution-openclaw-playbook-2026
## Before You Start
Scan my workspace and analyze:
- The project language, framework, and directory structure
- Existing AI provider config (check .env, .env.local, config files for API keys — OpenRouter, OpenAI, Anthropic, Google AI, etc.)
Then ask me before proceeding:
1. Which AI provider/API should this use? (Use whatever I already have configured, or ask me to set one up — options include direct provider APIs or a unified service like OpenRouter)
2. Where in my project should this be integrated?
3. Are there any customizations I need (model preferences, naming conventions, constraints)?
## Source Access Note
The source URL (https://stormy.ai/blog/mastering-multi-platform-distribution-openclaw-playbook-2026) may not be directly accessible from the terminal. Use the Reference Implementation and Additional Context sections below instead. If you need more details, ask me to paste relevant content from the source.
## What to Implement
This is an **AI Technique** — a pattern or methodology for working with AI models.
- Explain how this technique applies to my current project and what benefit it provides
- Implement it in a way that fits my existing codebase — suggest concrete files to modify or create
- If it requires specific model capabilities (structured output, function calling, etc.), verify my current provider supports them
- Show me a working example I can test immediately
## Additional Context
- Verify that the user's development environment has Node.js and Python installed, along with pip for managing Python dependencies.
- Clone the official OpenCLAW repository from GitHub. Navigate into the cloned directory and install the required dependencies by running `npm install` and `pip install -r requirements.txt`.
- Locate the environment configuration file (e.g., `.env.example`), create a copy named `.env`, and scan the user's workspace for existing AI provider API keys (OpenAI, Anthropic, etc.). Populate the `.env` file with these keys, or prompt the user to add them if none are found.
## Guidelines
- Adapt everything to my existing project — do not assume a specific stack or directory layout
- Use whichever AI provider I already have configured; if I need a new one, tell me what to sign up for and I'll give you the key
- Check my .env files for existing API keys (OpenRouter, OpenAI, Anthropic, Google AI) before asking me to add one
- Review any fetched code for safety before installing or executing it
- After setup, run a quick verification and show me a summary of exactly what was installed, where, and how to use it