OpenClaw
Fundamentals

The clearest breakdown of what OpenClaw is, how it works, and why it's becoming the default AI agent framework for serious builders in 2025.

A comprehensive look at OpenClaw as a framework — what it provides, what it doesn't, and where it sits in the wider AI agent ecosystem.

Why does an AI agent framework share a name with a 1990s platformer? The surprising origin story that most guides skip entirely.

OpenClaw's open-source status, what the license actually allows, and the real implications for builders using it commercially or in production.

A deep dive into OpenClaw's core architecture — gateway, agent runtime, memory layers, and skill execution — with diagrams and real config examples.

How to design and run multi-agent pipelines in OpenClaw — coordination patterns, failure handling, and the setups that work in production.

Everything the OpenClaw API exposes — endpoints, auth, rate limits, and the patterns experienced builders use to build on top of it programmatically.

The fastest path from zero to a working OpenClaw agent — step-by-step, with no assumed knowledge and troubleshooting at every stage.

Ten copy-paste-ready OpenClaw configurations, each solving a real automation problem — from research pipelines to social media agents.

A full walkthrough of OpenClaw from install to advanced config — the one resource builders bookmark and return to as their stack grows.

From trading bots to job application automation — 12 real-world OpenClaw deployments with configs, results, and honest assessments.

How to use OpenClaw's browser automation capabilities to scrape, fill forms, and navigate the web fully on autopilot — with real examples.

Configure OpenClaw for multi-step autonomous research — combining web search, summarisation, and structured output for serious knowledge work.

Step-by-step guide to building a trading bot with OpenClaw — market data ingestion, decision logic, execution, and important risk controls.

The memory system is the single most important configuration in OpenClaw — here's exactly how it works and the settings that actually matter.

What memory.md actually does, how OpenClaw reads it on startup, and the structure experienced builders use to make agents genuinely persistent.

Add retrieval-augmented generation to your OpenClaw agents — vector stores, chunking strategies, and the configs that deliver accurate results.

OpenClaw itself is free and open-source, but running it isn't zero cost. Here's the complete breakdown of what you'll actually spend.

Which LLM gives you the best performance-per-dollar with OpenClaw? Real benchmark data and the configurations that keep costs under control.

Run a fully functional OpenClaw setup at zero API cost — combining free tiers from Kimi, Groq, and OpenRouter with smart model routing.