What Tabby does

Tabby is an open-source, self-hosted AI coding assistant that brings code completion and AI assistance into development workflows while keeping teams in control of their deployment and data. Because it is self-hosted, organizations can run it on their own infrastructure, including on-premises and consumer-grade GPUs, without external databases or cloud dependencies.

Key capabilities

Tabby provides real-time, context-aware code completion, an Answer Engine for coding questions inside the IDE, and Inline Chat within the editor. Data Connectors let it pull context from documentation, configuration files, and APIs, and its Pochi agent handles planning, execution, and task verification. It supports major IDEs including VS Code, Neovim, IntelliJ, PyCharm, and WebStorm, and works with models from providers such as Mistral AI, DeepSeek, and Qwen.

Who it's for

Tabby is aimed at development teams and enterprises that prioritize data security, transparency, and control, particularly those needing flexible self-hosted AI coding tools. A free community plan and team and enterprise plans are available.