What Is OpenClaw?
OpenClaw is an open-source AI agent that controls your computer — it browses, clicks, types, and runs workflows like a human would. No API limits. No vendor lock-in.
It's not a chatbot. It's a worker. OpenClaw runs on your machine, uses your tools, and executes real tasks through actual browser and desktop control.
The Core Idea
OpenClaw gives AI models the ability to use your computer. Instead of chatting through a web interface, OpenClaw agents open browsers, navigate apps, fill forms, extract data, and chain actions across tools — the same way a human operator would. Unlike no-code automation platforms that connect APIs with fixed triggers, OpenClaw uses vision and reasoning to handle messy, real-world tasks. Need to pull data from a PDF that doesn't have an API? Check a dashboard that requires login? Make a judgment call between two options? OpenClaw handles it. The architecture is simple: skills (single capabilities) combine into workflows. You define what you want done. The agent figures out how. Your data stays local. Your model choice stays yours. Learn more about [how skills work](/openclaw/skills-guide) or see [real use cases in production](/openclaw/use-cases).
What Makes OpenClaw Different
Six capabilities that separate it from chatbots and no-code tools.
Local Execution
Runs on your machine or your VPS. Your data never leaves your infrastructure. No third-party servers see your business logic. You own everything.
Model Agnostic
Use OpenAI, Anthropic, local models via Ollama, or any OpenAI-compatible API. Swap models without rewriting workflows. Pick the best model for each task.
Computer Use
Real browser control, keyboard input, mouse clicks. OpenClaw operates applications the way you would — no API required. If you can click it, OpenClaw can automate it.
Skill System
Modular capabilities you compose. One skill = one thing. Chain them into workflows. Reuse across projects. Check the [skills guide](/openclaw/skills-guide) to see what's available.
Memory
Agents remember context across sessions. Customer history, project state, preferences — all persisted and queryable. Your agent gets smarter over time.
Multi-Agent
Run multiple agents for complex workflows. Specialists for different domains, coordinated by a controller. Scale without bottlenecks.
GitHub Stars
Most popular open-source AI agent framework
Contributors
Active community building and extending
Skills Available
Pre-built capabilities ready to deploy
Integrations
Connect to tools you already use
Common Use Cases
See [all use cases](/openclaw/use-cases) for the full list.
OpenClaw FAQ
Ready to run your own agent?
Get OpenClaw set up in about an hour with our workshop. Step-by-step, no guesswork.
Get the Free Course
The full OpenClaw course covers multi-agent setup, automation, skills, and making money with AI agents.