---
title: "Does OpenClaw work completely offline with local LLMs?"  
description: "Does OpenClaw work completely offline with local LLMs?"  
author: "Yash Srivastava"  
published: 2026-06-29  
updated: 2026-06-30  
canonical: https://answers.mindstick.com/qa/116887/does-openclaw-work-completely-offline-with-local-llms  
category: "technology"  
tags: ["openclaw", "artificial intelligence", "ai model", "automation"]  
reading_time: 3 minutes  

---

# Does OpenClaw work completely offline with local LLMs?

## Answers

### Answer by Anubhav Sharma

> Yes. **OpenClaw can work completely offline with local LLMs**, provided you configure it to use a locally hosted model instead of a cloud API.

The typical setup looks like this:

```plaintext
OpenClaw
    │
    ▼
Local model server (Ollama / LM Studio / vLLM / llama.cpp, etc.)
    │
    ▼
Local LLM (Qwen, Llama, Gemma, Mistral, etc.)
```

With this configuration:

- All LLM inference happens on your own machine.
- No prompts or responses are sent to OpenAI, Anthropic, or other cloud providers.
- You don't need API keys for inference.
- It continues working even if your internet connection is disconnected (assuming your tasks themselves don't require the internet). ([OpenClaw Docs](https://clawdocs.org/guides/local-models))

However, "completely offline" depends on what you're asking OpenClaw to do:

| Feature | Works offline? |
| --- | --- |
| Chat with local LLM | Yes |
| Local file operations | Yes |
| Code generation | Yes |
| Running local scripts | Yes |
| Local automation | Yes |
| Web browsing | Needs internet |
| Sending emails | Needs internet |
| Slack/Discord/Telegram integrations | Need internet |
| Searching the web | Needs internet |

So the **agent itself** can be fully offline, but any task that inherently depends on online services will not function until connectivity is restored. ([OpenClaw News](https://openclawnews.online/article/openclaw-offline-mode-guide))

### Supported local backends

OpenClaw supports several local inference servers, including:

- **LM Studio** (recommended for beginners)
- **Ollama**
- **vLLM**
- **SGLang**
- **MLX** (Apple Silicon)
- Any OpenAI-compatible local server

All of these expose a local HTTP endpoint that OpenClaw connects to.

### Things to keep in mind

Running locally has trade-offs:

## Advantages

- Complete privacy
- No per-token costs
- Works without internet
- Full control over your models

## Trade-offs

- Performance depends on your hardware.
- Smaller local models may not match the reasoning ability of top cloud models like GPT or Claude.
- Large models require substantial RAM/VRAM for good speed. Community reports suggest that a GPU with ample VRAM (for example, 24 GB) provides a much better experience than CPU-only setups. ([Reddit](https://www.reddit.com/r/openclaw/comments/1s1deun/openclaw_with_local_llm/?utm_source=chatgpt.com))

If you're planning to build a **100% local AI assistant** with OpenClaw, a common stack is:

- OpenClaw
- Ollama
- A local model such as Qwen, Llama, Gemma, or Mistral
- Local tools (filesystem, terminal, code execution)

This setup can operate entirely on your machine without relying on cloud AI services.


---

Original Source: https://answers.mindstick.com/qa/116887/does-openclaw-work-completely-offline-with-local-llms

Copyright © MindStick Software Pvt. Ltd. This Markdown version is provided for developers, AI systems, and offline reading.