Sync ollama docs from 9330bb91 on 2026-04-12

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The Librarian
2026-04-12 04:00:07 +00:00
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@@ -15,13 +15,29 @@ Ollama handles everything automatically:
1. **Install** — If OpenClaw isn't installed, Ollama prompts to install it via npm
2. **Security** — On the first launch, a security notice explains the risks of tool access
3. **Model** — Pick a model from the selector (local or cloud)
4. **Onboarding** — Ollama configures the provider, installs the gateway daemon, and sets your model as the primary
4. **Onboarding** — Ollama configures the provider, installs the gateway daemon, sets your model as the primary, and installs the web search and fetch plugin
5. **Gateway** — Starts in the background and opens the OpenClaw TUI
<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>
<Note>Previously known as Clawdbot. `ollama launch clawdbot` still works as an alias.</Note>
## Web search and fetch
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.
```bash
ollama launch openclaw
```
Web search and fetch is enabled automatically when launching OpenClaw through Ollama. To install the plugin directly:
```bash
openclaw plugins install @ollama/openclaw-web-search
```
<Note>Web search for local models requires `ollama signin`.</Note>
## Configure without launching
To change the model without starting the gateway and TUI:
@@ -43,15 +59,27 @@ If the gateway is already running, it restarts automatically to pick up the new
**Cloud models**:
- `kimi-k2.5:cloud` — Multimodal reasoning with subagents
- `minimax-m2.5:cloud` — Fast, efficient coding and real-world productivity
- `glm-5:cloud` — Reasoning and code generation
- `qwen3.5:cloud` — Reasoning, coding, and agentic tool use with vision
- `glm-5.1:cloud` — Reasoning and code generation
- `minimax-m2.7:cloud` — Fast, efficient coding and real-world productivity
**Local models:**
- `glm-4.7-flash` — Reasoning and code generation locally (~25 GB VRAM)
- `gemma4` — Reasoning and code generation locally (~16 GB VRAM)
- `qwen3.5` — Reasoning, coding, and visual understanding locally (~11 GB VRAM)
More models at [ollama.com/search](https://ollama.com/search?c=cloud).
## Non-interactive (headless) mode
Run OpenClaw without interaction for use in Docker, CI/CD, or scripts:
```bash
ollama launch openclaw --model kimi-k2.5:cloud --yes
```
The `--yes` flag auto-pulls the model, skips selectors, and requires `--model` to be specified.
## Connect messaging apps
```bash