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Claude Code is Anthropic’s agentic coding tool that can read, modify, and execute code in your working directory. 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. Claude Code with Ollama

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Install

Install Claude Code: 
curl -fsSL https://claude.ai/install.sh | bash

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Usage with Ollama

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Quick setup

ollama launch claude

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Run directly with a model

ollama launch claude --model kimi-k2.5:cloud
  • 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.

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Non-interactive (headless) mode

Run Claude Code without interaction for use in Docker, CI/CD, or scripts: 
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. Claude Code can search the web through Ollama’s web search API. See the web search documentation for setup and usage.

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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>

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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

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Telegram

Chat with Claude Code from Telegram by connecting a bot to your session. Install the Telegram plugin, create a bot via @BotFather, then launch with the channel flag: 
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 or pass --dangerously-skip-permissions in isolated environments. See the plugin README for full setup instructions including pairing and access control.

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Manual setup

Claude Code connects to Ollama using the Anthropic-compatible API.
  1. Set the environment variables:
export ANTHROPIC_AUTH_TOKEN=ollama
export ANTHROPIC_API_KEY=""
export ANTHROPIC_BASE_URL=http://localhost:11434
  1. Run Claude Code with an Ollama model:
claude --model qwen3.5
Or run with environment variables inline: 
ANTHROPIC_AUTH_TOKEN=ollama ANTHROPIC_BASE_URL=http://localhost:11434 ANTHROPIC_API_KEY="" claude --model glm-5:cloud
Note: Claude Code requires a large context window. We recommend at least 64k tokens. See the context length documentation for how to adjust context length in Ollama.