Lesson 20: Agent Frameworks — OpenClaw, LangChain, and Others
The options for building an agent: from simplest to most complex. Which to choose based on your level.
The options for building an agent: from simplest to most complex. Which to choose based on your level.
We introduce OpenClaw, its philosophy, minimum requirements, and why it’s ideal for getting started.
Practical installation guide for Mac, Linux, and Windows (WSL). From zero to your first ‘hello’ with your agent.
We connect OpenClaw to an LLM: choosing a model, getting a free API key, and configuring openclaw.json.
Create a Telegram bot, connect it to OpenClaw, and talk to your agent from your phone.
Write an effective system prompt that defines how your agent behaves, speaks, and thinks.
The most useful skills to start with: web search, file reading, and real-time information sources.
Set up automatic tasks so your agent does things without you asking: briefings, alerts, monitoring.
When it makes sense to have more than one agent, how to organise them, and how to combine expensive and cheap models intelligently.