Sync ollama docs from 8f45236d on 2026-03-12
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@@ -4,7 +4,7 @@ title: Claude Code
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Claude Code is Anthropic's agentic coding tool that can read, modify, and execute code in your working directory.
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Open models can be used with Claude Code through Ollama's Anthropic-compatible API, enabling you to use models such as `glm-4.7`, `qwen3-coder`, `gpt-oss`.
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Open models can be used with Claude Code through Ollama's Anthropic-compatible API, enabling you to use models such as `qwen3.5`, `glm-5:cloud`, `kimi-k2.5:cloud`.
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@@ -32,13 +32,57 @@ irm https://claude.ai/install.ps1 | iex
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ollama launch claude
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```
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To configure without launching:
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### Run directly with a model
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```shell
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ollama launch claude --config
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ollama launch claude --model kimi-k2.5:cloud
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```
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### Manual setup
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## Recommended Models
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- `kimi-k2.5:cloud`
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- `glm-5:cloud`
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- `minimax-m2.5:cloud`
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- `qwen3.5:cloud`
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- `glm-4.7-flash`
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- `qwen3.5`
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Cloud models are also available at [ollama.com/search?c=cloud](https://ollama.com/search?c=cloud).
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## Scheduled Tasks with `/loop`
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The `/loop` command runs a prompt or slash command on a recurring schedule inside Claude Code. This is useful for automating repetitive tasks like checking PRs, running research, or setting reminders.
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```
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/loop <interval> <prompt or /command>
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```
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### Examples
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**Check in on your PRs**
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```
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/loop 30m Check my open PRs and summarize their status
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```
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**Automate research tasks**
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```
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/loop 1h Research the latest AI news and summarize key developments
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```
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**Automate bug reporting and triaging**
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```
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/loop 15m Check for new GitHub issues and triage by priority
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```
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**Set reminders**
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```
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/loop 1h Remind me to review the deploy status
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```
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## Manual setup
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Claude Code connects to Ollama using the Anthropic-compatible API.
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@@ -53,23 +97,14 @@ export ANTHROPIC_BASE_URL=http://localhost:11434
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2. Run Claude Code with an Ollama model:
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```shell
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claude --model gpt-oss:20b
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claude --model qwen3.5
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```
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Or run with environment variables inline:
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```shell
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ANTHROPIC_AUTH_TOKEN=ollama ANTHROPIC_BASE_URL=http://localhost:11434 ANTHROPIC_API_KEY="" claude --model qwen3-coder
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ANTHROPIC_AUTH_TOKEN=ollama ANTHROPIC_BASE_URL=http://localhost:11434 ANTHROPIC_API_KEY="" claude --model glm-5:cloud
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```
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**Note:** Claude Code requires a large context window. We recommend at least 64k tokens. See the [context length documentation](/context-length) for how to adjust context length in Ollama.
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## Recommended Models
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- `qwen3-coder`
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- `glm-4.7`
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- `gpt-oss:20b`
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- `gpt-oss:120b`
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Cloud models are also available at [ollama.com/search?c=cloud](https://ollama.com/search?c=cloud).
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@@ -13,6 +13,7 @@ Coding assistants that can read, modify, and execute code in your projects.
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- [OpenCode](/integrations/opencode)
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- [Droid](/integrations/droid)
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- [Goose](/integrations/goose)
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- [Pi](/integrations/pi)
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## Assistants
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@@ -4,47 +4,65 @@ title: OpenClaw
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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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## Install
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Install [OpenClaw](https://openclaw.ai/)
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```bash
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npm install -g openclaw@latest
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```
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Then run the onboarding wizard:
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```bash
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openclaw onboard --install-daemon
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```
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<Note>OpenClaw requires a larger context window. It is recommended to use a context window of at least 64k tokens. See [Context length](/context-length) for more information.</Note>
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## Usage with Ollama
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### Quick setup
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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, and sets your model as the primary
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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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This configures OpenClaw to use Ollama and starts the gateway.
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If the gateway is already running, no changes need to be made as the gateway will auto-reload the changes.
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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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To configure without launching:
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```shell
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```bash
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ollama launch openclaw --config
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```
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## Recommended Models
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To use a specific model directly:
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- `qwen3-coder`
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- `glm-4.7`
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- `gpt-oss:20b`
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- `gpt-oss:120b`
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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-m2.5: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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## 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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Cloud models are also available at [ollama.com/search?c=cloud](https://ollama.com/search?c=cloud).
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@@ -0,0 +1,57 @@
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---
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title: Pi
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---
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Pi is a minimal AI agent toolkit with plugin support.
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## Install
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Install [Pi](https://github.com/badlogic/pi-mono):
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```bash
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npm install -g @mariozechner/pi-coding-agent
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```
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## Usage with Ollama
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### Quick setup
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```bash
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ollama launch pi
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```
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To configure without launching:
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```shell
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ollama launch pi --config
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```
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### Manual setup
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Add a configuration block to `~/.pi/agent/models.json`:
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```json
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{
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"providers": {
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"ollama": {
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"baseUrl": "http://localhost:11434/v1",
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"api": "openai-completions",
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"apiKey": "ollama",
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"models": [
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{
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"id": "qwen3-coder"
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}
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]
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}
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}
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}
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```
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Update `~/.pi/agent/settings.json` to set the default provider:
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```json
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{
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"defaultProvider": "ollama",
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"defaultModel": "qwen3-coder"
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}
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```
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