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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

πŸ”₯ What's New

  • 02/05/2025 LDAP Authentication and better notification for background jobs coming in Tabby v0.24.0!✨
  • 02/04/2025 VSCode 1.20.0 upgrade! @-mention files to add them as chat context, and edit inline with a new right-click option are available!
  • 01/10/2025 Tabby v0.23.0 featuring enhanced code browser experience and chat side panel improvements!
Archived * **12/24/2024** Introduce **Notification Box** in Tabby [v0.22.0](https://github.com/TabbyML/tabby/releases/tag/v0.22.0)! * **12/06/2024** Llamafile deployment integration and enhanced Answer Engine user experience are coming in Tabby [v0.21.0](https://github.com/TabbyML/tabby/releases/tag/v0.21.0)!πŸš€ * **11/10/2024** Switching between different backend chat models is supported in Answer Engine with Tabby [v0.20.0](https://github.com/TabbyML/tabby/releases/tag/v0.20.0)! * **10/30/2024** Tabby [v0.19.0](https://github.com/TabbyML/tabby/releases/tag/v0.19.0) featuring recent shared threads on the main page to improve their discoverability. * **07/09/2024** πŸŽ‰Announce [Codestral integration in Tabby](https://tabby.tabbyml.com/blog/2024/07/09/tabby-codestral/)! * **07/05/2024** Tabby [v0.13.0](https://github.com/TabbyML/tabby/releases/tag/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](https://marketplace.visualstudio.com/items/TabbyML.vscode-tabby/changelog) 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 πŸ“ƒblogpost drop on [an enhanced code context understanding](https://tabby.tabbyml.com/blog/2024/06/11/rank-fusion-in-tabby-code-completion/) in Tabby! * **06/06/2024** Tabby [v0.12.0](https://github.com/TabbyML/tabby/releases/tag/v0.12.0) release brings πŸ”—**seamless integrations** (Gitlab SSO, Self-hosted GitHub/GitLab, etc.), to βš™οΈ**flexible configurations** (HTTP API integration) and 🌐**expanded capabilities** (repo-context in Code Browser)! * **05/22/2024** Tabby [VSCode 1.6](https://marketplace.visualstudio.com/items?itemName=TabbyML.vscode-tabby) comes with **multiple choices** in inline completion, and the **auto-generated commit messages**πŸ±πŸ’»! * **05/11/2024** [v0.11.0](https://github.com/TabbyML/tabby/releases/tag/v0.11.0) brings significant enterprise upgrades, including πŸ“Š**storage usage** stats, πŸ”—**GitHub & GitLab** integration, πŸ“‹**Activities** page, and the long-awaited πŸ€–**Ask Tabby** feature! * **04/22/2024** [v0.10.0](https://github.com/TabbyML/tabby/releases/tag/v0.10.0) released, featuring the latest **Reports** tab with team-wise analytics for Tabby usage. * **04/19/2024** πŸ“£ Tabby now incorporates [locally relevant snippets](TabbyML#1844 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](https://tabby.tabbyml.com/docs/models/)! * **03/20/2024** [v0.9](https://github.com/TabbyML/tabby/releases/tag/v0.9.1) released, highlighting a full feature admin UI. * **12/23/2023** Seamlessly [deploy Tabby on any cloud](https://tabby.tabbyml.com/docs/installation/skypilot/) with [SkyServe](https://skypilot.readthedocs.io/en/latest/serving/sky-serve.html) πŸ›« from SkyPilot. * **12/15/2023** [v0.7.0](https://github.com/TabbyML/tabby/releases/tag/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](https://github.com/TabbyML/tabby/releases/tag/v0.3.0)πŸŽ‰! Check out the [blogpost](https://tabby.tabbyml.com/blog/2023/10/16/repository-context-for-code-completion/) explaining how Tabby utilizes repo-level context to get even smarter! * **11/27/2023** [v0.6.0](https://github.com/TabbyML/tabby/releases/tag/v0.6.0) released! * **11/09/2023** [v0.5.5](https://github.com/TabbyML/tabby/releases/tag/v0.5.5) released! With a redesign of UI + performance improvement. * **10/24/2023** ⛳️ Major updates for Tabby IDE plugins across [VSCode/Vim/IntelliJ](https://tabby.tabbyml.com/docs/extensions)! * **10/04/2023** Check out the [model directory](https://tabby.tabbyml.com/docs/models/) for the latest models supported by Tabby. * **09/18/2023** Apple's M1/M2 Metal inference support has landed in [v0.1.1](https://github.com/TabbyML/tabby/releases/tag/v0.1.1)! * **08/31/2023** Tabby's first stable release [v0.0.1](https://github.com/TabbyML/tabby/releases/tag/v0.0.1) πŸ₯³. * **08/28/2023** Experimental support for the [CodeLlama 7B](TabbyML#370). * **08/24/2023** Tabby is now on [JetBrains Marketplace](https://plugins.jetbrains.com/plugin/22379-tabby)!

πŸ‘‹ 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
  • πŸ“š LinkedIn - follow for the latest from the community
  • πŸ’Œ Newsletter - subscribe to unlock Tabby insights and secrets

πŸ”† Activity

Git Repository Activity

🌟 Star History

Star History Chart

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