AI TOOL DETAILS

Ollama Code

Ollama Code adds local-model chat to a VS Code workflow for developers who do not want a recurring coding-assistant fee. It relies on Ollama rather than bundling weights; the extension license, model license and hardware needs should be checked separately.

Ollama Code

Free
Ollama Code product preview
Product image: cgaspard and repository contributors · MIT License · Original image; layout scaled to fit. Official Ollama Code project screenshot, shown for product identification; it is not an AltStack installation or test result. Full notice.Logo: cgaspard and repository contributors · MIT License · Original image; layout scaled to fit. Official project identity asset used only to identify this independent listing; no sponsorship or endorsement is implied. Full notice.

What does it cost?

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

The MIT extension is free. A local Ollama service and compatible model are required; model weights carry their own license and compute/storage requirements. The extension does not include hosted AI credits or require a paid API. Application license: MIT. This does not grant the license for separately downloaded model weights; check a model's license and compatibility independently.

Provider pricing checked 3 Nov 2026.

Model license and local hardware

Local inference can avoid a paid model API when this app is connected to a compatible local model. The app license does not license model weights. One example is Qwen2.5-Coder-7B-Instruct-GGUF, whose separate weight license is Apache-2.0; compatibility and download requirements depend on the app’s supported runtime. Other models may have different terms. Model downloads, storage and local hardware are separate costs.

Model license checked 3 Nov 2026. Read this example model license

Installation and setup

Follow the publisher’s current installation or quickstart guide for the edition and device you want to use. Tool-specific installation steps have not yet been checked by AltStack.

  1. Open the official website or source repository below.
  2. Check its supported devices and installation requirements, along with the pricing shown on this page.
  3. Follow the provider’s instructions, then try a small non-sensitive sample before using important files.

Self-hosting & quickstart specs

License
MIT
Deployment
Self-hosting listed; deployment method requires provider confirmation
Free edition / costs
Free MIT extension; Ollama model required. The MIT extension is free. A local Ollama service and compatible model are required; model weights carry their own license and compute/storage requirements. The extension does not include hosted AI credits or require a paid API. Pricing evidence.
Devices / hardware
Windows, macOS, Linux. Check the linked provider instructions for versions and prerequisites.

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

Ollama Code 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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