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🐾 Tabby

📚 Docs • 💬 Slack • 🗺️ Roadmap

latest release PRs Welcome Docker pulls codecov

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.

Open Live Demo

Demo

🔥 What's New

  • 12/06/2024 Llamafile deployment integration and enhanced Answer Engine user experience are coming in Tabby v0.21.0!🚀
  • 11/10/2024 Switching between different backend chat models is supported in Answer Engine with Tabby v0.20.0!
  • 10/30/2024 Tabby v0.19.0 featuring recent shared threads on the main page to improve their discoverability.
Archived
  • 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🐱💻!
  • 05/11/2024 v0.11.0 brings significant enterprise upgrades, including 📊storage usage stats, 🔗GitHub & GitLab integration, 📋Activities page, and the long-awaited 🤖Ask Tabby feature!
  • 04/22/2024 v0.10.0 released, featuring the latest Reports tab with team-wise analytics for Tabby usage.
  • 04/19/2024 📣 Tabby now incorporates locally relevant snippets(declarations from local LSP, and recently modified code) for code completion!
  • 04/17/2024 CodeGemma and CodeQwen model series have now been added to the official registry!
  • 03/20/2024 v0.9 released, highlighting a full feature admin UI.
  • 12/23/2023 Seamlessly deploy Tabby on any cloud with SkyServe 🛫 from SkyPilot.
  • 12/15/2023 v0.7.0 released with team management and secured access!
  • 10/15/2023 RAG-based code completion is enabled by detail in v0.3.0🎉! Check out the blogpost explaining how Tabby utilizes repo-level context to get even smarter!
  • 11/27/2023 v0.6.0 released!
  • 11/09/2023 v0.5.5 released! With a redesign of UI + performance improvement.
  • 10/24/2023 ⛳️ Major updates for Tabby IDE plugins across VSCode/Vim/IntelliJ!
  • 10/04/2023 Check out the model directory for the latest models supported by Tabby.
  • 09/18/2023 Apple's M1/M2 Metal inference support has landed in v0.1.1!
  • 08/31/2023 Tabby's first stable release v0.0.1 🥳.
  • 08/28/2023 Experimental support for the CodeLlama 7B.
  • 08/24/2023 Tabby is now on JetBrains Marketplace!

👋 Getting Started

You can find our documentation here.

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
  1. Install useful tools:
# For Ubuntu
apt install make sqlite3 graphviz
  1. 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

Git Repository Activity

🌟 Star History

Star History Chart