Can OpenClaw Run Local AI Models?
Yes. OpenClaw supports local LLMs through Ollama and other backends.
What Is Local LLM?
A local LLM runs on your own hardware instead of calling cloud APIs like OpenAI or Anthropic. Your computer does the AI processing — no data leaves your machine.
Why Use Local Models?
🔒 Privacy
Data never leaves your machine. Sensitive conversations stay local.
💸 No API Costs
Pay once for hardware, not per-request. Unlimited usage.
🌍 Offline
Works without internet. Great for air-gapped systems.
⚡ Fast
No network latency. Instant responses on powerful hardware.
Tradeoffs vs Cloud APIs
| Factor | Local LLM | Cloud API |
|---|---|---|
| Cost | One-time hardware | Per-request |
| Capability | Smaller models | GPT-4, Claude 3.5 |
| Speed | Depends on hardware | Fast (cloud GPUs) |
| Privacy | Maximum | Data sent to cloud |
Supported Local Backends
Ollama
Easiest to use. Pull and run models with one command.
ollama pull llama3.2
LM Studio
Desktop app with model management. OpenAI-compatible API.
llama.cpp
Pure C++ for maximum efficiency. For advanced users.
LocalAI
Self-hosted API server. Docker-friendly.
Hardware Considerations
Mac with Apple Silicon
Excellent. Great performance for local models.
NVIDIA GPU
Best for larger models. 8GB+ VRAM recommended.
CPU Only
Works for small models. Expect slower responses.
Best Use Cases for Local LLM
- • Personal assistant with privacy
- • Coding assistance (smaller models are great)
- • Offline chatbots
- • Development and testing
- • Cost-sensitive applications
Ready to try local models?
Set up Ollama or browse recommended models.