Tabby is a self-hosted AI coding assistant, offering an open-source and on-premises alternative to GitHub Copilot. It boasts several key features:

• Self-contained, with no need for a DBMS or cloud service.
• OpenAPI interface, easy to integrate with existing infrastructure (e.g Cloud IDE).
• Supports consumer-grade GPUs.

• 12/12/2025 Get your GitHub issues implemented by connecting them to Pochi tasks and create PRs directly from the sidebar with a breakdown of CI/Lint/Test results vscode@0.20.0.
• 07/02/2025 v0.30 supports indexing GitLab Merge Request as Context!
• 05/25/2025 💡Interested in joining Agent private preview? DM in X for early waitlist approval!🎫
• 05/20/2025 Enhance Tabby with your own documentation📃 through REST APIs in v0.29! 🎉
• 05/01/2025 v0.28 transforming Answer Engine messages into persistent, shareable Pages
• 03/31/2025 v0.27 released with a richer @ menu in the chat side panel.

You can find our documentation here.

• 📚 Installation
• 💻 IDE/Editor Extensions
• ⚙️ Configuration

The easiest way to start a Tabby server is by using the following Docker command:

docker run -it \
  --gpus all -p 8080:8080 -v $HOME/.tabby:/data \
  tabbyml/tabby \
  serve --model StarCoder-1B --device cuda --chat-model Qwen2-1.5B-Instruct

For additional options (e.g inference type, parallelism), please refer to the documentation page.

Full guide at CONTRIBUTING.md;

git clone --recurse-submodules https://github.com/TabbyML/tabby
cd tabby

If you have already cloned the repository, you could run the git submodule update --recursive --init command to fetch all submodules.

1. Set up the Rust environment by following this tutorial.

2. Install the required dependencies:

# For MacOS
brew install protobuf

# For Ubuntu / Debian
apt install protobuf-compiler libopenblas-dev

3. Install useful tools:

# For Ubuntu
apt install make sqlite3 graphviz

4. Now, you can build Tabby by running the command cargo build.

... and don't forget to submit a Pull Request

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