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95 lines
2.7 KiB
Plaintext
95 lines
2.7 KiB
Plaintext
---
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title: OpenClaw
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---
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OpenClaw is a personal AI assistant that runs on your own devices. It bridges messaging services (WhatsApp, Telegram, Slack, Discord, iMessage, and more) to AI coding agents through a centralized gateway.
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## Quick start
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```bash
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ollama launch openclaw
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```
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Ollama handles everything automatically:
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1. **Install** — If OpenClaw isn't installed, Ollama prompts to install it via npm
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2. **Security** — On the first launch, a security notice explains the risks of tool access
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3. **Model** — Pick a model from the selector (local or cloud)
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4. **Onboarding** — Ollama configures the provider, installs the gateway daemon, sets your model as the primary, and installs the web search and fetch plugin
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5. **Gateway** — Starts in the background and opens the OpenClaw TUI
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<Note>OpenClaw requires a larger context window. It is recommended to use a context window of at least 64k tokens if using local models. See [Context length](/context-length) for more information.</Note>
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<Note>Previously known as Clawdbot. `ollama launch clawdbot` still works as an alias.</Note>
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## Web search and fetch
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OpenClaw ships with a web search and fetch plugin that gives local or cloud models the ability to search the web and extract readable page content.
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```bash
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ollama launch openclaw
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```
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Web search and fetch is enabled automatically when launching OpenClaw through Ollama. To install the plugin directly:
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```bash
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openclaw plugins install @ollama/openclaw-web-search
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```
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<Note>Web search for local models requires `ollama signin`.</Note>
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## Configure without launching
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To change the model without starting the gateway and TUI:
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```bash
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ollama launch openclaw --config
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```
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To use a specific model directly:
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```bash
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ollama launch openclaw --model kimi-k2.5:cloud
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```
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If the gateway is already running, it restarts automatically to pick up the new model.
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## Recommended models
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**Cloud models**:
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- `kimi-k2.5:cloud` — Multimodal reasoning with subagents
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- `minimax-m2.7:cloud` — Fast, efficient coding and real-world productivity
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- `glm-5:cloud` — Reasoning and code generation
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**Local models:**
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- `glm-4.7-flash` — Reasoning and code generation locally (~25 GB VRAM)
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More models at [ollama.com/search](https://ollama.com/search?c=cloud).
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## Non-interactive (headless) mode
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Run OpenClaw without interaction for use in Docker, CI/CD, or scripts:
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```bash
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ollama launch openclaw --model kimi-k2.5:cloud --yes
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```
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The `--yes` flag auto-pulls the model, skips selectors, and requires `--model` to be specified.
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## Connect messaging apps
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```bash
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openclaw configure --section channels
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```
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Link WhatsApp, Telegram, Slack, Discord, or iMessage to chat with your local models from anywhere.
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## Stopping the gateway
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```bash
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openclaw gateway stop
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```
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