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AI Coding Assistants

GraftCodeAI tool

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

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 checked .

Check official pricing
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GraftCode product interface
GraftCode · Project coding-session screenshot; no AltStack code execution or model-quality claim is implied.
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.

About GraftCode

A desktop coding agent with support for local models and optional external AI providers. Visit the project website to check the currently available deployment options.

Release status

Official README and root license checked against this revision on 2026-11-01. Local model and provider costs are recorded separately; AltStack did not execute the project or its installers.

Availability checked 1 Nov 2026. Check the provider’s release or installation 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

Explore the project

Technology stack

Technologies recorded in the catalog snapshot.

Tags

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