OpenClaw — Personal AI Assistant on Your Devices
OpenClaw is a local-first personal AI assistant with 343K+ GitHub stars. Deploy on your own devices, connect 20+ messaging platforms (WhatsApp, Telegram, Slack, Discord, iMessage, Teams), voice contro
What it is
OpenClaw is a local-first personal AI assistant that runs on your own devices. It connects to over 20 messaging platforms (WhatsApp, Telegram, Slack, Discord, iMessage, Teams), supports voice control, and integrates with smart home systems. All processing happens locally, so your conversations and data stay on your hardware.
It targets privacy-conscious users and developers who want an always-available AI assistant without relying on cloud services for processing.
How it saves time or tokens
OpenClaw consolidates your AI interactions across multiple platforms into a single local assistant. Instead of using different AI tools for different messaging platforms, you have one assistant that works everywhere. The local-first architecture means no recurring cloud API costs for basic operations -- the LLM runs on your hardware.
How to use
- Install OpenClaw:
npm install -g openclaw@latest
- Run the onboarding wizard:
openclaw onboard --install-daemon
- Start the assistant:
openclaw start
- Connect your messaging platforms through the configuration interface.
- Send messages to OpenClaw from any connected platform.
Example
| Platform | How you interact |
|---|---|
| Send messages to the OpenClaw contact | |
| Telegram | Chat with the OpenClaw bot |
| Slack | Message in a dedicated channel |
| Discord | Use the OpenClaw bot |
| Voice | Speak to the local voice interface |
| Smart home | Control devices via natural language |
One assistant, accessible from all your communication channels.
Related on TokRepo
- AI tools for automation -- personal automation tools
- AI tools for self-hosted -- self-hosted AI applications
Common pitfalls
- Running a local LLM requires adequate hardware. For basic chat, a laptop with 16GB RAM suffices. For faster responses with larger models, a GPU is recommended.
- Platform integrations may require API keys or authentication tokens from each messaging service. Some platforms (WhatsApp) have more complex setup requirements than others.
- The daemon must be running for the assistant to respond. Set it up as a system service for always-on availability.
Frequently Asked Questions
For the core AI functionality with local models, no. OpenClaw can run fully offline. However, messaging platform integrations (WhatsApp, Telegram, Slack) require internet access to receive and send messages. Smart home integrations may require local network access.
OpenClaw supports WhatsApp, Telegram, Slack, Discord, iMessage, Microsoft Teams, and many more. The exact list depends on your version and configuration. Each platform requires its own authentication setup, and some may have restrictions on automated messaging.
Yes. OpenClaw supports both local models (via Ollama or similar) and cloud APIs (OpenAI, Anthropic). You can configure which model to use and switch between local and cloud as needed. Local models preserve privacy; cloud models may provide better quality for complex tasks.
OpenClaw is open source and free to self-host. You pay only for any cloud LLM API usage if you choose to use cloud models. Running with local models on your own hardware has no recurring costs. Some premium features or managed hosting options may be available separately.
OpenClaw includes a local voice interface that uses speech-to-text and text-to-speech models. You can speak commands and hear responses. The voice processing runs locally, so your speech data is not sent to external services. Voice quality depends on the TTS and STT models you configure.
Citations (3)
- OpenClaw GitHub— OpenClaw personal AI assistant
- Ollama Official— Ollama for local LLM serving
- Ink & Switch Local-First— Local-first software principles
Related on TokRepo
Source & Thanks
Created by Peter Steinberger and the OpenClaw community. Licensed under MIT. openclaw/openclaw — 343,000+ GitHub stars Sponsored by OpenAI, Vercel, Blacksmith, and Convex.
Discussion
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