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title: Claude Code
---
Claude Code is Anthropic's agentic coding tool that can read, modify, and execute code in your working directory.
[Claude Code](https://code.claude.com/docs/en/overview) is an agentic coding tool that reads your codebase, edits files, and runs commands.
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`.
Ollama connects Claude Code to local and cloud models through its Anthropic-compatible API.
![Claude Code with Ollama](https://files.ollama.com/claude-code.png)
## Get started
## Install
Launch Claude Code with Ollama:
Install [Claude Code](https://code.claude.com/docs/en/overview):
```shell
ollama launch claude
```
## Capabilities
<div className="capability-list capability-list-full">
<div className="capability-list-grid">
<div className="capability-list-item">
<div className="capability-list-icon"><Icon icon="comment" /></div>
<div>
<div className="capability-list-heading">Chat</div>
<div className="capability-list-copy">Ask questions about a repository or task</div>
</div>
</div>
<div className="capability-list-item">
<div className="capability-list-icon"><Icon icon="terminal" /></div>
<div>
<div className="capability-list-heading">Command line</div>
<div className="capability-list-copy">Run commands with Claude Code's permission flow</div>
</div>
</div>
<div className="capability-list-item">
<div className="capability-list-icon"><Icon icon="code" /></div>
<div>
<div className="capability-list-heading">Tool calling</div>
<div className="capability-list-copy">Use tools with compatible models</div>
</div>
</div>
<div className="capability-list-item">
<div className="capability-list-icon"><Icon icon="file-pen" /></div>
<div>
<div className="capability-list-heading">File edits</div>
<div className="capability-list-copy">Read and edit files in your project</div>
</div>
</div>
<div className="capability-list-item">
<div className="capability-list-icon"><Icon icon="users" /></div>
<div>
<div className="capability-list-heading">Subagents</div>
<div className="capability-list-copy">Split work across tasks</div>
</div>
</div>
<div className="capability-list-item">
<div className="capability-list-icon"><Icon icon="globe" /></div>
<div>
<div className="capability-list-heading">Web search</div>
<div className="capability-list-copy">Search the web through Ollama</div>
</div>
</div>
<div className="capability-list-item">
<div className="capability-list-icon"><Icon icon="file-text" /></div>
<div>
<div className="capability-list-heading">Web fetch</div>
<div className="capability-list-copy">Fetch and summarize web pages</div>
</div>
</div>
<div className="capability-list-item">
<div className="capability-list-icon"><Icon icon="image" /></div>
<div>
<div className="capability-list-heading">Vision</div>
<div className="capability-list-copy">Send images and screenshots</div>
</div>
</div>
<div className="capability-list-item">
<div className="capability-list-icon"><Icon icon="brain" /></div>
<div>
<div className="capability-list-heading">Thinking</div>
<div className="capability-list-copy">Use thinking controls with compatible models</div>
</div>
</div>
</div>
</div>
## Models
Choose a model with enough context for your repository.
<CardGroup cols={2}>
<Card title="Cloud models" icon="cloud" href="https://ollama.com/search?c=cloud">
Use larger models without downloading them.
</Card>
<Card title="Local models" icon="hard-drive" href="https://ollama.com/search?c=tools">
Choose a model and set a 64k+ context window.
</Card>
</CardGroup>
<Note>For larger repositories, set the [context length](/context-length) to 64k or higher.</Note>
## More features
### Run without interaction
Use `--yes` for scripts, Docker, or CI:
```shell
ollama launch claude --model gemma4:cloud --yes -- -p "how does this repository work?"
```
The `--yes` flag skips selectors, pulls the model when needed, and requires `--model`. Arguments after `--` are passed directly to Claude Code.
### Web search
Use Ollama's web search API from Claude Code.
See [Web search](/capabilities/web-search) for setup and usage.
### Scheduled tasks with `/loop`
Use `/loop` inside Claude Code to run a prompt or slash command on a schedule:
```text
/loop <interval> <prompt or /command>
```
Examples:
```text
/loop 30m Check my open PRs and summarize their status
/loop 1h Research the latest AI news and summarize key developments
/loop 15m Check for new GitHub issues and triage by priority
```
### Telegram
Connect a Telegram bot to your Claude Code session. Install the [Telegram plugin](https://github.com/anthropics/claude-plugins-official), create a bot with [@BotFather](https://t.me/BotFather), then launch Claude Code:
```shell
ollama launch claude -- --channels plugin:telegram@claude-plugins-official
```
Claude Code prompts for permission on most actions. To allow the bot to work autonomously, configure [permission rules](https://code.claude.com/docs/en/permissions) or pass `--dangerously-skip-permissions` in an isolated environment.
See the [plugin README](https://github.com/anthropics/claude-plugins-official/tree/main/external_plugins/telegram) for setup instructions.
## Manual setup
<p className="manual-step-title">1. Install Claude Code</p>
<CodeGroup>
@@ -24,95 +171,7 @@ irm https://claude.ai/install.ps1 | iex
</CodeGroup>
## Usage with Ollama
### Quick setup
```shell
ollama launch claude
```
### Run directly with a model
```shell
ollama launch claude --model kimi-k2.5:cloud
```
## Recommended Models
- `kimi-k2.5:cloud`
- `glm-5:cloud`
- `minimax-m2.7:cloud`
- `qwen3.5:cloud`
- `glm-4.7-flash`
- `qwen3.5`
Cloud models are also available at [ollama.com/search?c=cloud](https://ollama.com/search?c=cloud).
## Non-interactive (headless) mode
Run Claude Code without interaction for use in Docker, CI/CD, or scripts:
```shell
ollama launch claude --model kimi-k2.5:cloud --yes -- -p "how does this repository work?"
```
The `--yes` flag auto-pulls the model, skips selectors, and requires `--model` to be specified. Arguments after `--` are passed directly to Claude Code.
## Web search
Claude Code can search the web through Ollama's web search API. See the [web search documentation](/capabilities/web-search) for setup and usage.
## Scheduled Tasks with `/loop`
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.
```
/loop <interval> <prompt or /command>
```
### Examples
**Check in on your PRs**
```
/loop 30m Check my open PRs and summarize their status
```
**Automate research tasks**
```
/loop 1h Research the latest AI news and summarize key developments
```
**Automate bug reporting and triaging**
```
/loop 15m Check for new GitHub issues and triage by priority
```
**Set reminders**
```
/loop 1h Remind me to review the deploy status
```
## Telegram
Chat with Claude Code from Telegram by connecting a bot to your session. Install the [Telegram plugin](https://github.com/anthropics/claude-plugins-official), create a bot via [@BotFather](https://t.me/BotFather), then launch with the channel flag:
```shell
ollama launch claude -- --channels plugin:telegram@claude-plugins-official
```
Claude Code will prompt for permission on most actions. To allow the bot to work autonomously, configure [permission rules](https://code.claude.com/docs/en/permissions) or pass `--dangerously-skip-permissions` in isolated environments.
See the [plugin README](https://github.com/anthropics/claude-plugins-official/tree/main/external_plugins/telegram) for full setup instructions including pairing and access control.
## Manual setup
Claude Code connects to Ollama using the Anthropic-compatible API.
1. Set the environment variables:
<p className="manual-step-title">2. Set the environment variables</p>
```shell
export ANTHROPIC_AUTH_TOKEN=ollama
@@ -120,7 +179,7 @@ export ANTHROPIC_API_KEY=""
export ANTHROPIC_BASE_URL=http://localhost:11434
```
2. Run Claude Code with an Ollama model:
<p className="manual-step-title">3. Run Claude Code</p>
```shell
claude --model qwen3.5
@@ -129,8 +188,5 @@ claude --model qwen3.5
Or run with environment variables inline:
```shell
ANTHROPIC_AUTH_TOKEN=ollama ANTHROPIC_BASE_URL=http://localhost:11434 ANTHROPIC_API_KEY="" claude --model glm-5:cloud
ANTHROPIC_AUTH_TOKEN=ollama ANTHROPIC_BASE_URL=http://localhost:11434 ANTHROPIC_API_KEY="" claude --model kimi-k2.7-code:cloud
```
**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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If you'd rather drive Hermes's own wizard instead of `ollama launch hermes`, install it directly:
```bash
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
```
Hermes launches the setup wizard automatically. Choose **Quick setup**:
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title: Overview
---
Ollama integrates with a wide range of tools.
Use Ollama from coding agents, personal assistants, and editors.
## Coding Agents
Run `ollama launch` to see the latest integrations you can run from the terminal.
Coding assistants that can read, modify, and execute code in your projects.
## Code in the terminal
- [Claude Code](/integrations/claude-code)
- [Codex App](/integrations/codex-app)
- [Codex CLI](/integrations/codex)
- [Copilot CLI](/integrations/copilot-cli)
- [Cline CLI](/integrations/cline-cli)
- [OpenCode](/integrations/opencode)
- [Droid](/integrations/droid)
- [Goose](/integrations/goose)
- [Oh My Pi](/integrations/oh-my-pi)
- [Pi](/integrations/pi)
- [Pool](/integrations/pool)
## Assistants
<CardGroup cols={2}>
<Card title="Claude Code" icon="/images/launch-icons/claude-code.svg" href="/integrations/claude-code">
Terminal coding agent with tools, vision, web search, and long context.
</Card>
AI assistants that help with everyday tasks.
<Card title="OpenCode" icon="/images/launch-icons/opencode.svg" href="/integrations/opencode">
Open-source coding agent that edits, runs, and iterates on code.
</Card>
</CardGroup>
- [OpenClaw](/integrations/openclaw)
- [Hermes Agent](/integrations/hermes)
- [Hermes Desktop](/integrations/hermes-desktop)
## Connect an assistant
## IDEs & Editors
Assistants with memory, skills, and messaging app access.
Native integrations for popular development environments.
<CardGroup cols={2}>
<Card title="OpenClaw" icon="/images/launch-icons/openclaw.svg" href="/integrations/openclaw">
Personal assistant for messaging apps and everyday tasks.
</Card>
- [VS Code](/integrations/vscode)
- [Cline](/integrations/cline)
- [Roo Code](/integrations/roo-code)
- [JetBrains](/integrations/jetbrains)
- [Xcode](/integrations/xcode)
- [Zed](/integrations/zed)
<Card title="Hermes Agent" icon="/images/launch-icons/hermes-agent.svg" href="/integrations/hermes">
Open-source agent with self-improving skills, memory, and messaging.
</Card>
</CardGroup>
## Chat & RAG
## Work in your editor
Chat interfaces and retrieval-augmented generation platforms.
Use Ollama models inside your editor.
- [Onyx](/integrations/onyx)
## Automation
Workflow automation platforms with AI integration.
- [n8n](/integrations/n8n)
## Notebooks
Interactive computing environments with AI capabilities.
- [marimo](/integrations/marimo)
<CardGroup cols={2}>
<Card title="VS Code" icon="/images/launch-icons/vscode.svg" href="/integrations/vscode">
Select Ollama models from the Copilot Chat model picker in VS Code.
</Card>
</CardGroup>
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title: OpenCode
---
OpenCode is an open-source AI coding assistant that runs in your terminal.
[OpenCode](https://opencode.ai) is an open-source coding agent that runs in your terminal, reads your project, edits files, and runs commands.
## Install
Ollama configures OpenCode to use local and cloud models.
Install the [OpenCode CLI](https://opencode.ai):
## Get started
```bash
curl -fsSL https://opencode.ai/install | bash
```
Launch OpenCode with Ollama:
<Note>OpenCode 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>
## Usage with Ollama
### Quick setup
```bash
```shell
ollama launch opencode
```
To configure without launching:
## Capabilities
<div className="capability-list capability-list-full">
<div className="capability-list-grid">
<div className="capability-list-item">
<div className="capability-list-icon"><Icon icon="comment" /></div>
<div>
<div className="capability-list-heading">Chat</div>
<div className="capability-list-copy">Ask questions about a repository or task</div>
</div>
</div>
<div className="capability-list-item">
<div className="capability-list-icon"><Icon icon="terminal" /></div>
<div>
<div className="capability-list-heading">Command line</div>
<div className="capability-list-copy">Run commands from your working directory</div>
</div>
</div>
<div className="capability-list-item">
<div className="capability-list-icon"><Icon icon="code" /></div>
<div>
<div className="capability-list-heading">File edits</div>
<div className="capability-list-copy">Read and edit files in your project</div>
</div>
</div>
<div className="capability-list-item">
<div className="capability-list-icon"><Icon icon="users" /></div>
<div>
<div className="capability-list-heading">Subagents</div>
<div className="capability-list-copy">Split work across tasks</div>
</div>
</div>
<div className="capability-list-item">
<div className="capability-list-icon"><Icon icon="file-text" /></div>
<div>
<div className="capability-list-heading">Web fetch</div>
<div className="capability-list-copy">Fetch and summarize web pages</div>
</div>
</div>
<div className="capability-list-item">
<div className="capability-list-icon"><Icon icon="image" /></div>
<div>
<div className="capability-list-heading">Vision</div>
<div className="capability-list-copy">Send images and screenshots</div>
</div>
</div>
</div>
</div>
## Models
Choose a model with enough context for your repository.
<CardGroup cols={2}>
<Card title="Cloud models" icon="cloud" href="https://ollama.com/search?c=cloud">
Use larger models without downloading them.
</Card>
<Card title="Local models" icon="hard-drive" href="https://ollama.com/search?c=tools">
Choose a model and set a 64k+ context window.
</Card>
</CardGroup>
<Note>OpenCode requires a context length of 64k or higher. See [Context length](/context-length) for more information.</Note>
## Manual setup
<p className="manual-step-title">1. Install OpenCode</p>
<CodeGroup>
```shell macOS / Linux
curl -fsSL https://opencode.ai/install | bash
```
```powershell Windows
npm install -g opencode-ai
```
</CodeGroup>
<p className="manual-step-title">2. Configure Ollama as a provider</p>
Add an Ollama provider to `opencode.json`:
```json
{
"$schema": "https://opencode.ai/config.json",
"provider": {
"ollama": {
"npm": "@ai-sdk/openai-compatible",
"name": "Ollama",
"options": {
"baseURL": "http://localhost:11434/v1"
},
"models": {
"qwen3.5": {
"name": "qwen3.5"
}
}
}
}
}
```
<p className="manual-step-title">3. Run OpenCode</p>
```shell
opencode
```
To configure OpenCode with Ollama without starting an interactive session:
```shell
ollama launch opencode --config
```
<Note>`ollama launch opencode` passes its configuration to OpenCode inline via the `OPENCODE_CONFIG_CONTENT` environment variable. OpenCode deep-merges its config sources on startup, so anything you declare in `~/.config/opencode/opencode.json` is still respected and available inside OpenCode. Models declared only in `opencode.json` won't appear in `ollama launch`'s model-selection menu.</Note>
### Configuration precedence
`ollama launch opencode` starts OpenCode with an inline config for the selected Ollama model. It does not overwrite `~/.config/opencode/opencode.json`; existing OpenCode settings still apply.
Models defined only in `opencode.json` do not appear in the `ollama launch` model picker.
See OpenCode's [config precedence](https://opencode.ai/docs/config/#precedence-order).