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Update cloud and local model recommendations to match current models.go: add qwen3.5:cloud and glm-5.1:cloud, replace glm-4.7-flash with gemma4 and qwen3.5 as local options. Add documentation for Hermes Agent by Nous Research, covering installation, Ollama setup via custom endpoint, messaging configuration, and recommended models.
97 lines
2.9 KiB
Plaintext
97 lines
2.9 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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- `qwen3.5:cloud` — Reasoning, coding, and agentic tool use with vision
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- `glm-5.1:cloud` — Reasoning and code generation
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- `minimax-m2.7:cloud` — Fast, efficient coding and real-world productivity
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**Local models:**
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- `gemma4` — Reasoning and code generation locally (~16 GB VRAM)
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- `qwen3.5` — Reasoning, coding, and visual understanding locally (~11 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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