What is OpenClaw? Complete Introduction
OpenClaw is an open-source autonomous AI agent platform that runs locally on your own machine and connects to more than 20 messaging platforms. It gives you a personal AI assistant that can think, remember, and take action — while keeping all your data under your control.
In Asian communities, OpenClaw has an affectionate nickname: "Raising Lobsters" (養龍蝦). The project's mascot is a lobster named Molty. The name comes from OpenClaw's "Claw" (as in a lobster's claw), symbolizing powerful and flexible grasping and manipulation capabilities.
- GitHub Stars: 250,000+
- ClawHub Marketplace: 13,000+ skills
- Supported Messaging Platforms: 20+
- Supported LLMs: Claude, GPT, Gemini, DeepSeek, Ollama, and more
- Created by: Peter Steinberger
Why Choose OpenClaw?
In 2026, with AI tools popping up everywhere, OpenClaw stands out for three key reasons:
- Fully Local Execution: Your conversation history, memory data, and configuration files are all stored locally. Nothing is uploaded to third-party servers.
- Cross-Platform Integration: A single AI agent can simultaneously connect to WhatsApp, Telegram, Discord, Slack, LINE, Signal, iMessage, Matrix, and more.
- Skill Ecosystem: Through the ClawHub marketplace, you can install over 13,000 community-developed skills — from auto-reply to smart home control and everything in between.
The History of OpenClaw: From Clawdbot to Today
OpenClaw's development has gone through three major phases:
Phase 1: Clawdbot (Early 2024)
Peter Steinberger initially built a personal project called Clawdbot, aimed at letting AI converse through instant messaging apps. The functionality was quite basic at this stage — it only supported Telegram and could call a single LLM.
Phase 2: Moltbot (Mid 2024)
As the community grew rapidly, the project was renamed Moltbot (inspired by the lobster's molting process). This release introduced the memory system and multi-platform support, laying the foundation for the four-layer architecture.
Phase 3: OpenClaw (Early 2025 to Present)
The project was officially renamed OpenClaw and gained the ClawHub skill marketplace, sandboxed execution environments, and a comprehensive security architecture. By late 2025 it surpassed 200K GitHub Stars, making it one of the fastest-growing open-source AI projects.
In February 2026, creator Peter Steinberger joined OpenAI, though OpenClaw continues as a thriving open-source project maintained by its community and core contributors.
Four-Layer Architecture Overview
OpenClaw uses a clean four-layer architecture where each layer has a distinct responsibility:
┌─────────────────────────────────────────┐
│ Layer 1: Gateway │
│ Port 18789 — Receives all messages │
├─────────────────────────────────────────┤
│ Layer 2: Reasoning Layer │
│ Connects to LLMs, handles intent │
│ recognition and response generation │
├─────────────────────────────────────────┤
│ Layer 3: Memory System │
│ WAL + Markdown Compaction for │
│ long-term memory management │
├─────────────────────────────────────────┤
│ Layer 4: Skills / Execution Layer │
│ Runs skills in sandboxed containers │
└─────────────────────────────────────────┘
Layer 1: Gateway
The Gateway is OpenClaw's front door, listening on port 18789 by default. It receives incoming messages from all connected messaging platforms, normalizes them into an internal standard format, and passes them to the Reasoning Layer for processing.
The Gateway's port 18789 is OpenClaw's largest attack surface. As of early 2026, over 30,000 instances have been compromised because their Gateway was exposed to the public internet (bound to 0.0.0.0). Always bind to 127.0.0.1. See Security Best Practices for details.
Layer 2: Reasoning Layer
The Reasoning Layer is OpenClaw's brain. It sends user messages to the configured LLM (such as Claude Opus 4.6 or GPT-5.2 Codex), receives responses, and decides on the next action — whether that is replying directly, invoking a skill, or querying memory.
Layer 3: Memory System
The Memory System uses a hybrid approach combining WAL (Write-Ahead Log) with Markdown Compaction. Short-term memory is written quickly via WAL, while long-term memory is periodically compacted into structured Markdown files for efficient context management.
Layer 4: Skills / Execution Layer
All skills run inside a sandboxed environment to prevent malicious code from affecting the host system. Skills can access the network, a restricted portion of the filesystem, and external APIs, but all access is governed by strict permission controls.
Want to learn more about the architecture? Head to the Architecture Overview page.
Security Overview
Security is a critical concern when running OpenClaw. Here are the most significant security incidents to date:
| Incident | Description |
|---|---|
| CVE-2026-25253 | Gateway remote code execution vulnerability affecting versions prior to v3.x |
| ClawHavoc | 2,400+ malicious skills were planted in ClawHub, later fully removed |
| Port 18789 Exposure | 30,000+ instances compromised due to misconfiguration |
Security is not optional. Every user should read the Security Best Practices and the Skill Audit Checklist before getting started.
Who Should Use OpenClaw?
| User Type | Why It Fits |
|---|---|
| Developers | Build custom skills, deeply customize behavior, integrate into existing workflows |
| Privacy-Conscious Users | Fully local execution — data never leaves your machine |
| Community Managers | One AI agent managing communities across multiple messaging platforms |
| Automation Enthusiasts | Combine skills to build complex automation pipelines |
| Enterprise IT Teams | Deploy on internal networks with enterprise-grade security settings |
If all you need is a simple chatbot, a commercial solution (such as ChatGPT's off-the-shelf apps) may be a better fit. OpenClaw's strength lies in deep customization and multi-platform integration — it is more like an AI agent you can raise and train over time than a disposable tool.
Next Steps
Ready to get started? Follow this sequence to have your first OpenClaw instance running in about 30 minutes:
- Installation Guide — Install OpenClaw on your system
- First Setup — Complete the initial configuration
- Connect Messaging Platforms — Connect your first messaging platform
- Choose an AI Model — Configure your LLM provider
- SOUL.md Personality Config — Craft your AI's personality
Join over 250,000 developers and start building your own AI agent today.