AI TOOL DETAILS

Captain Claw

The project documents an Ollama lane for local model use; desktop hardware and model downloads remain the user’s responsibility.

Captain Claw

Free local app · model and hardware separate
Captain Claw product preview
Product image: Stevica Kuharski · MIT · Original image; layout scaled to fit. Project demo network map; displayed nodes and activity are demo content, not AltStack measurements. Full notice.Logo: Stevica Kuharski · MIT · Original image; layout scaled to fit. Provider asset identifies captain-claw; no endorsement is implied. Full notice.

What does it cost?

The listed option is free to use. Hosting or model usage may still cost money.

Captain Claw is MIT-licensed. Local Ollama inference avoids a per-request provider API bill when a compatible model is selected. Optional hosted models, connectors, and any external services have separate terms and charges. No model weights are bundled. A compatible local model such as Ollama's qwen2.5-coder:7b is listed under Apache-2.0 at 4.7GB; confirm model compatibility and its license separately. Hardware, model download/storage, and electricity remain user costs. Optional hosted or API inference may be billed.

Provider pricing checked 1 Nov 2026.

Installation and setup

Install on your computer · Instructions checked 2026-11-01

  1. Check the official README and release notes for the current operating-system package and configuration steps.
  2. Install Captain Claw from the project’s official release or source-build instructions.
  3. Start Ollama locally and select a compatible model; the project’s optional cloud providers are a separate route.
  4. Test with a sample task and narrow file permissions before granting access to personal folders.

The MIT application is free. A local model uses your hardware and separately licensed weights; optional provider inference may be billed.

Self-hosting & quickstart specs

License
MIT
Deployment
Local desktop application
Free edition / costs
Free local application · model/hardware costs separate. Captain Claw is MIT-licensed. Local Ollama inference avoids a per-request provider API bill when a compatible model is selected. Optional hosted models, connectors, and any external services have separate terms and charges. No weights are bundled. The official Ollama qwen2.5-coder:7b listing states Apache-2.0 and 4.7GB; verify compatibility and model licensing separately. Local hardware, storage, download, and electricity still have costs. Optional remote inference can be billed. Pricing evidence.
Devices / hardware
The MIT application is free. A local model uses your hardware and separately licensed weights; optional provider inference may be billed.

No one-line command has been verified for Captain Claw; follow its official installation instructions instead of guessing a Docker image or installer.

Captain Claw provider setup documentation

What can you use it for?

Source code and self-hosting

Read the repository for the license, installation steps, and operating costs.

Source repositoryView the full software profile

Learn how to use this type of tool

Read a practical guide before choosing a plan or setting up a workflow.

How to use an AI coding tool and check its work

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