Ollama Launch Claude: Run Claude Code Locally

Wondering what ollama launch claude actually does? The quick version is just below: it’s the official Ollama subcommand that configures and starts Claude Code running against your local Ollama models — one command, no manual config-file surgery. I’ve been routing coding agents to local models all year to cut API bills, and this is now the cleanest path there is, so in this guide I’ll cover exactly what the command does (per the official Ollama CLI docs), the flags worth knowing, and when a local model is genuinely enough.

Ollama launch claude: what the command actually does

Ollama’s CLI has a subcommand called launch, and the official documentation describes it as “an interactive way to configure and start integrations with external applications to use Ollama models”. In plain English: instead of hand-editing config files to point a coding agent at your local Ollama daemon, you run one command and it wires everything up and starts the tool.

The docs list five supported integrations:

Command	Tool	What the docs call it
ollama launch claude	Claude Code	“Anthropic’s agentic coding tool”
ollama launch opencode	OpenCode	“Open-source coding assistant”
ollama launch codex	Codex	“OpenAI’s coding assistant”
ollama launch vscode	VS Code	“Microsoft’s IDE with built-in AI chat”
ollama launch droid	Droid	“Factory’s AI coding agent”

And it keeps growing: per the Ollama v0.32.11 release notes on GitHub (14 August 2026), ollama launch dsh now supports DeepSeek Harness and ollama launch muse supports Muse Code. So the pattern is clearly Ollama’s chosen front door for every major coding agent.

Run it bare — just ollama launch — and you get an interactive picker instead of naming the integration up front.

How to use ollama launch claude (flags and workflow)

The three forms you’ll actually use, straight from the official CLI docs:

# interactive picker
ollama launch

# configure + start Claude Code on Ollama
ollama launch claude

# same, but choose the model explicitly
ollama launch claude --model qwen3.5

Two flags matter:

• --model — specify which Ollama model the integration uses. The docs’ example is qwen3.5; any model you’ve pulled works.
• --config — configure the integration’s settings without starting it (the docs show the pattern as ollama launch droid --config). Handy when you’re scripting a machine setup and don’t want the tool popping open.

My honest workflow advice: treat this as a cost lever, not a full replacement. Local models through Ollama are brilliant for high-volume, routine, or private work — drafting, summarising, boilerplate, anything you’d feel silly paying frontier-model prices for. For genuinely hard reasoning, hosted frontier models still win. Most people I work with land on a hybrid: local for the 80% of grunt work, hosted for the 20% that needs the big guns. I’ve covered similar local-model setups in Hermes Agent with Ollama local models and Claude Code desktop with DeepSeek if you’re weighing up which agent to point at your local stack.

Ollama launch claude vs manual setup: why bother with the command

You could always point tools at Ollama’s local endpoint by hand. The reason the launch subcommand matters is friction — and friction is what kills local-model adoption in practice:

	Manual setup	ollama launch claude
Steps	Find the config, set endpoints/env vars, pick a model, start the tool	One command (add --model if you’re fussy)
Knowledge needed	Where each tool keeps its settings	None — it’s the same pattern for every supported tool
Reconfiguring later	Re-edit files	Re-run with --config
Switching agents	Learn a new config format each time	Swap the integration name: claude, opencode, codex, dsh, muse…

That last row is the strategic bit. Because the launch pattern is identical across agents, you can trial Claude Code, OpenCode, DeepSeek Harness and Muse Code against the same local models in an afternoon and keep whichever fits your workflow — something I’d have needed a weekend of config-wrangling for a year ago. If you want to see which combinations are actually earning their keep for SEO teams right now, that’s a running conversation in the Boardroom.

The bottom line on ollama launch claude

One command wires Claude Code into your local Ollama models: ollama launch claude, add --model to pick the brain, add --config to set it up without starting it. It’s free to run, it turns local-model experimentation from a chore into a habit, and the supported-tool list keeps expanding — OpenCode, Codex, VS Code, Droid, plus DeepSeek Harness and Muse Code as of the August releases. Use it to push your routine agent work onto free local inference and save the paid tokens for work that deserves them. If you want the fast track — the exact models, agents and prompts we use for AI SEO — join us in the AI Profit Boardroom, or book a free SEO strategy session and I’ll help you plan your setup.

FAQ: ollama launch claude

What does ollama launch claude do?

Per the official Ollama CLI docs, the launch subcommand provides an interactive way to configure and start integrations with external applications so they use Ollama models. ollama launch claude does that for Claude Code, Anthropic’s agentic coding tool.

Is ollama launch claude free?

The command and Ollama itself are free. Running local models costs nothing per token — the trade-off is your own hardware doing the inference. Claude Code pointed at Anthropic’s hosted models still bills as normal; this command is how you point it at local models instead.

How do I choose which model Claude Code uses with Ollama?

Use the --model flag. The official docs give the example ollama launch claude --model qwen3.5. Any model you’ve pulled into Ollama can be specified.

What other tools does ollama launch support?

The official docs list OpenCode, Claude Code, Codex, VS Code and Droid. The v0.32.11 release notes (14 August 2026) also added ollama launch dsh for DeepSeek Harness and ollama launch muse for Muse Code.

Can I configure the integration without starting it?

Yes — add the --config flag (the docs show ollama launch droid --config as the pattern). That writes the integration settings without launching the tool.

Is a local model as good as the hosted Claude models?

No — frontier hosted models are stronger. Local models via Ollama are best for routine, high-volume or private work where free and offline beats maximum capability, and many people run a hybrid: local for drafts, hosted for the hard stuff.

Related reading

• Hermes Agent with Ollama local models
• Claude Code desktop with DeepSeek
• Muse Glimmer on Ollama

Last updated September 2026. This is the living guide to ollama launch claude — it gets updated as the tools change.