OpenClaw
Open-source personal AI assistant that runs on your own machine behind one Gateway and talks to you over WhatsApp, Telegram, Slack, Discord, iMessage and 20+ other channels.
Tags
Description
A local Gateway is the control plane for sessions, tools, events and channel connections; a Control UI, CLI and TUI connect to it, and companion apps add voice, camera, screen and device actions. Models and agent harnesses (Claude, Codex, local models) are swappable plugins; tools, skills and plugins extend it, with skills and plugins published on ClawHub. Install with curl -fsSL https://openclaw.ai/install.sh | bash or npm install -g openclaw@latest, then openclaw onboard --install-daemon.
Security note from the README: tools run on the host for the main session unless you configure sandboxing, and inbound messages should be treated as untrusted input. Developed by the OpenClaw Foundation, an independent 501(c)(3).
Agent access
Related
- ClawHub: Public registry for OpenClaw skills (SKILL.md bundles) and plugins, with versioning, vector search, moderation and a CLI for publishing.
- Hermes Agent: Nous Research's self-improving open-source agent: terminal UI plus messaging gateway, agent-curated memory and skills it writes and refines from experience.
- Pi: Minimal, extensible coding-agent harness and TypeScript toolkit (unified LLM API, agent core, TUI) from Earendil; customize with extensions, skills and prompt templates.
- Claude Code: Anthropic's agentic coding tool that reads your codebase, edits files, runs commands and integrates with dev tools; available in terminal, IDE, desktop and browser.
- OpenAI Codex CLI: OpenAI's lightweight open-source coding agent that runs in your terminal.
Guides & comparisons
- OpenClaw vs Hermes Agent vs Pi: open-source agents you run yourself (Comparison): Three fast-moving open-source agent runtimes compared: OpenClaw (gateway-first personal assistant), Hermes Agent (self-improving agent with memory, skills and cron) and Pi (minimal, extensible coding harness). Covers interfaces, models, memory, skills, MCP, automation, safety defaults and license.
Sources
Machine-readable
- JSON
- Markdown
- Source file on GitHub (edit via pull request)