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.

🔥 What's New

• 07/09/2024 🎉Announce Codestral integration in Tabby!
• 07/05/2024 Tabby v0.13.0 introduces Answer Engine, a central knowledge engine for internal engineering teams. It seamlessly integrates with dev team's internal data, delivering reliable and precise answers to empower developers.
• 06/13/2024 VSCode 1.7 marks a significant milestone with a versatile Chat experience throughout your coding experience. Come and they the latest chat in side-panel and editing via chat command!
• 06/10/2024 Latest 📃blogpost drop on an enhanced code context understanding in Tabby!
• 06/06/2024 Tabby v0.12.0 release brings 🔗seamless integrations (Gitlab SSO, Self-hosted GitHub/GitLab, etc.), to ⚙️flexible configurations (HTTP API integration) and 🌐expanded capabilities (repo-context in Code Browser)!
• 05/22/2024 Tabby VSCode 1.6 comes with multiple choices in inline completion, and the auto-generated commit messages🐱💻!

👋 Getting Started

You can find our documentation here.

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

Run Tabby in 1 Minute

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.

🤝 Contributing

Full guide at CONTRIBUTING.md;

Get the Code

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.

Build

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.

Start Hacking!

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

🌍 Community

• 🎤 Twitter / X - engage with TabbyML for all things possible
• 📚 LinkedIn - follow for the latest from the community
• 💌 Newsletter - subscribe to unlock Tabby insights and secrets

🔆 Activity

🌟 Star History