Tabby

Tabby is an open-source AI coding assistant that empowers developers to code faster and smarter. Discover a self-contained alternative to GitHub Copil

As an open-source solution, Tabby ensures software supply chain safety, giving you peace of mind. Easily integrates with your existing infrastructure, including Cloud IDEs, with support for consumer-grade GPUs. Run Tabby in your way and on your terms with no need for external DBMS or cloud services. Enjoy cutting-edge AI capabilities for code completion, answering queries, inline chat, and more. Whether you’re writing a simple function or working on a complex project, Tabby predicts your next move, helping you code faster and with fewer errors. Experience the power of AI that adapts to your coding style and seamlessly integrates into your IDE. When you’re deep in the development process, interruptions can break your flow. With Tabby’s Answer Engine, you can stay focused on your code while getting the answers you need, right within your IDE. Simply ask a question, and Tabby will provide clear, concise explanations or examples, helping you overcome roadblocks without missing a beat. By leveraging TabbyML's Answer Engine, you can speed up your development workflow. TabbyML's inline chat feature allows you to communicate with your AI coding assistant in real-time, making coding more efficient and collaborative. Enhance teamwork by keeping conversations contextually tied to the code, making collaboration more efficient and focused. Engage in discussions, ask questions, and receive AI-driven suggestions, all without leaving your code editor. Tabby’s Context Providers allow you to pull in data from multiple sources, enriching the AI’s ability to understand your project’s unique context. Whether it’s pulling documentation, reading configuration files, or accessing external APIs, Tabby uses this information to offer more relevant suggestions and insights. Create a smarter, more aware coding assistant that truly understands your project. Connect with other TabbyML users, get answers, and collaborate on open-source projects.