OpenClaw: What It Is and How to Use It (2026 Guide)

OpenClaw: What It Is and How to Use It (2026 Guide)

OpenClaw went from 9,000 to over 60,000 GitHub stars in a matter of days after going viral in late January 2026, hit 100,000 by February, and by mid-2026 had crossed 300,000 - one of the most-starred open-source projects on GitHub, by some counts the most-starred in its history. (Exact figures vary by source and move fast, so verify on the repo.) When GitHub itself hosts an "OpenClaw: After Hours" night at HQ, the thing has left hobby territory.

Here is the decode for builders who already live in Claude Code and Cursor: OpenClaw is not another chatbot and not another IDE agent. It is a personal AI assistant you run on your own hardware, acting as a local gateway between AI models and the apps you already use. That one design choice - it runs on your devices, not someone's cloud - is the whole story.

What is OpenClaw?

OpenClaw is an open-source, self-hosted personal AI assistant created by Peter Steinberger, founder of PSPDFKit. It runs entirely on your own devices and operates as a local gateway connecting AI models to your tools and messaging apps - more than 50 integrations including WhatsApp, Telegram, Slack, Discord, Signal, and iMessage.

The reason it caught fire is positioning. Most AI assistants are a website you visit or an app you rent. OpenClaw is software you own, holding your context on your machine, reachable from the messaging apps you already check all day.

How OpenClaw works: the local gateway

OpenClaw sits between the AI model and your life as a gateway you control. You message it through an app you already use; it routes the request to a model, executes through its connected integrations, and replies in the same thread.

   YOU                OPENCLAW (on your device)            MODELS
 ┌──────┐          ┌───────────────────────────┐       ┌─────────┐
 │ Slack│          │  local gateway            │       │ Claude  │
 │ iMsg │◄────────►│   • holds your context    │◄─────►│ GPT     │
 │ WApp │  message │   • routes to a model     │       │ local   │
 │ TG   │          │   • runs 50+ integrations │       │ LLMs    │
 └──────┘          └─────────────┬─────────────┘       └─────────┘
                                 │
                                 v
                     your tools, files, calendars,
                     messages - on hardware you own

Three properties make it different from a cloud assistant:

• You host it. Context and credentials live on your machine, not a vendor's. That is the privacy and control pitch in one line.
• It meets you where you already are. Reaching it through WhatsApp or iMessage instead of yet another tab is why people actually keep using it.
• It is a hub, not a feature. Connecting one local gateway to 50+ services makes it an orchestration layer over your digital life, not a single-purpose bot.

OpenClaw vs Claude Code: different jobs

Same era, opposite design centers. Claude Code is a single-user coding agent in your terminal. OpenClaw is a personal life-and-ops assistant in your messaging apps. They are complements, not competitors.

        CLAUDE CODE                        OPENCLAW
   ┌────────────────────┐          ┌────────────────────────┐
   │ you -> terminal    │          │ you -> WhatsApp / iMsg  │
   │ deep coding work   │          │ personal ops + tasks    │
   │ Anthropic-hosted   │          │ self-hosted, your box   │
   │ session memory     │          │ persistent, local       │
   └────────────────────┘          └────────────────────────┘
     heads-down building             always-on assistant

Use Claude Code when you are building software and want a tight feedback loop. Use OpenClaw when you want a standing assistant that lives in your messages and acts across your apps. If you have read our personal AI agent army piece, OpenClaw is that idea shipped as one popular, self-hosted package.

Who OpenClaw is for

Good fit if you:

• Want an AI assistant you fully own and can run offline-capable on your own box
• Already live in WhatsApp, Telegram, Slack, or iMessage and want one agent across them
• Care about keeping context and credentials off a vendor's servers
• Are comfortable self-hosting and wiring up integrations

Think twice if you:

• Want zero-setup convenience - self-hosting is real work and real maintenance
• Need enterprise governance, audit logs, and a support contract out of the box
• Are mainly looking for a coding agent (Claude Code or Cursor fit better)
• Cannot commit to keeping a self-hosted service patched and secure

How to get started with OpenClaw

1. Read the repo first. Start at the OpenClaw GitHub and read the current README - this project moves fast, so the docs there beat any third-party guide.
2. Pick your host. Decide where it runs - a spare machine, a home server, or a VPS you control. The whole value is that you own the box.
3. Connect a model. Wire up the model provider you want (hosted or local). Mind your token budget here; a personal assistant that runs all day is a recurring cost.
4. Add one integration. Start with a single messaging app you actually use, prove the loop end to end, then expand. Do not connect all 50 on day one.
5. Scope permissions tightly. It can touch your messages, files, and accounts. Grant the minimum, and treat credentials like production secrets.
6. Set a real first task. Give it something concrete - triage a channel, summarize a thread, run a recurring check - and watch what it actually does before you trust it with more.

A caution worth stating plainly: a self-hosted agent connected to your personal messaging and accounts is powerful and a real attack surface. Keep it patched, scope its access, and do not point it at sensitive accounts until you trust your setup.

Go deeper with our courses:

• AI Agent 101 Course - learn the agent loop, tool calling, and orchestration so you understand what OpenClaw is doing under the hood instead of treating it as magic
• Claude Code 101 Course - the single-player coding-agent side, for when the job is building software rather than personal ops

If you want to build and self-host agents alongside a community pushing the same tools in real projects, join AI Builder Club.

Frequently Asked Questions

What is OpenClaw?

OpenClaw is an open-source, self-hosted personal AI assistant created by PSPDFKit founder Peter Steinberger. It runs on your own devices and acts as a local gateway connecting AI models to 50+ integrations, including WhatsApp, Telegram, Slack, Discord, Signal, and iMessage.

Is OpenClaw free?

Yes. OpenClaw is open source and free to self-host. You still pay for whatever AI model you connect it to (hosted API tokens or the hardware to run a local model), so budget for ongoing model costs.

How many GitHub stars does OpenClaw have?

By mid-2026 it had crossed 300,000 stars - one of the most-starred open-source projects on GitHub, and by some counts the most-starred in its history. It hit 100,000 by February 2026 after going viral in late January, one of the fastest growth curves GitHub has seen. Exact counts vary by source and move fast, so verify on the repo.

What is the difference between OpenClaw and Claude Code?

Claude Code is a vendor-hosted, single-user coding agent in your terminal. OpenClaw is a self-hosted personal assistant that lives in your messaging apps and acts across your tools. Different surfaces and different jobs - they complement each other rather than compete.

Is OpenClaw safe to use?

It is open source and runs on hardware you control, which is good for privacy, but a self-hosted agent connected to your personal messages and accounts is a real attack surface. Scope its permissions tightly, keep it patched, and avoid pointing it at sensitive accounts until you trust your setup.

Who created OpenClaw?

Peter Steinberger, the founder of PSPDFKit, created OpenClaw. It was first released in November 2025 and went viral in late January 2026. Steinberger later joined OpenAI, and the project moved to foundation-style, community-driven governance to keep developing.

Related Content

• Crabbox: Isolated Cloud Sandboxes for Parallel Coding Agents - Steinberger's newer project, for verifying the work of many agents at once.
• Personal AI Agent Army - The pattern OpenClaw popularized: standing, self-hosted agents that work across your apps.
• AI Agent Reliability and Cost Control - Keep an always-on assistant from quietly running up your model bill.
• Hermes: Self-Hosted, Never Forgets - Another self-hosted, autonomous-agent take to compare against.
• Harness Engineering: What OpenAI and Anthropic Changed - The engine thinking underneath any agent you run.
• Claude Code Guide - The single-player coding-agent side of your stack.

Start Here

Spin OpenClaw up on a machine you control, connect exactly one model and one messaging app, and give it a single recurring task this week. Watch what it does end to end before you expand. Owning the box is the point - so is scoping what it can touch.

For self-hosting walkthroughs, integration teardowns, and a community running these agents in real life, join the AI Builder Club - come build something you own.

Join AI Builder Club