cat README.md
Tabby
Self-hosted AI coding assistant with code completion, chat, and agent capabilities that runs entirely on your infrastructure.
docker run -it --gpus all -p 8080:8080 tabbyml/tabby serve --model StarCoder-15Btabby --helpWaiting for input...What makes Tabby different
Fully self-hosted
Runs entirely on your infrastructure with no external API calls or data leaving your network.
For regulated industries (healthcare, finance, government), Tabby is one of the few viable AI coding assistants because no code ever leaves the organization.Multi-editor support
Works with VS Code, JetBrains, Vim, Emacs, and other editors through standardized plugins.
Teams with diverse editor preferences can standardize on one self-hosted AI backend.Code completion + chat + agent
Provides inline code completion, conversational chat, and agentic task execution from a single self-hosted service.
One deployment covers the full spectrum of AI-assisted development without relying on external services.Open model support
Works with any open-source model including Llama, DeepSeek, Qwen, and fine-tuned custom models.
Teams can choose, fine-tune, or build custom models for their specific codebase and domain.Your first command
docker run -it --gpus all -p 8080:8080 tabbyml/tabby serve --model StarCoder-15BReady. Run --help to explore.How developers use Tabby
Air-gapped development
Deploy Tabby in an air-gapped environment with no internet access, running entirely on local GPU infrastructure.
Enterprise compliance
Meet SOC 2, HIPAA, or GDPR requirements by keeping all code and AI processing within your controlled infrastructure.
Custom model fine-tuning
Fine-tune open models on your codebase for better completion quality, then serve them through Tabby.
How Tabby compares
Tabby runs entirely on your infrastructure with no data leaving your network. Copilot sends code snippets to GitHub's servers for processing.
Questions
Q: What should I check before using Tabby?
Start with one safe workflow for Tabby. Inspect official setup instructions, required credentials, execution logs, approval points, and failure recovery before expanding from a sandbox task into production automation.
Q: Is Tabby open source?
Tabby is listed with Apache-2.0 based on the official source links in this profile. Re-check the repository, model card, or docs before production use.
Q: What hardware does Tabby need?
Tabby requires a machine with a GPU for good performance. It supports NVIDIA GPUs and Apple Silicon, and can run CPU-only with reduced speed.