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GraftCode

Select a compatible local model to use the agent without an AI API subscription.

GraftCode

Free local app · model and hardware separate
GraftCode product preview
Product image: GraftCode contributors · MIT · Original image; layout scaled to fit. Project coding-session screenshot; no AltStack code execution or model-quality claim is implied. Full notice.Logo: GraftCode contributors · MIT · Original image; layout scaled to fit. Provider asset identifies graftcode; 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.

The MIT app itself is free. Local model inference uses the user’s hardware and separately licensed weights; external provider APIs are optional and may be billed. Verify platform-specific build requirements in the official README. 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.

Visit GraftCodeRead pricing information

Installation and setup

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

  1. Review the official README for prerequisites, supported platforms, and its current local inference instructions.
  2. Install GraftCode using the documented project setup or official release.
  3. Connect a compatible local model runtime using the repository’s instructions; check the model license separately.
  4. Try a small sample task before connecting a paid provider or granting access to valuable code.

The MIT application is free. Local inference needs your hardware and separately licensed model weights; external providers can charge.

Self-hosting & quickstart specs

License
MIT
Deployment
Local desktop application
Free edition / costs
Free local application · model/hardware costs separate. The MIT app itself is free. Local model inference uses the user’s hardware and separately licensed weights; external provider APIs are optional and may be billed. Verify platform-specific build requirements in the official README. 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. Local inference needs your hardware and separately licensed model weights; external providers can charge.

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

GraftCode provider setup documentation
Official setup instructionsSource repository

What can you use it for?

Coding assistantsAI agentsDeveloper tools

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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