Tabby
Open-source, self-hosted AI coding assistant for private code completion and chat
About Tabby
Tabby is an open-source, self-hosted AI coding assistant that lets development teams run their own LLM-powered code completion and chat server entirely on-premises. Built in Rust by former Google engineers, it supports major coding LLMs like CodeLlama, StarCoder, and DeepSeek Coder, and integrates with VS Code, JetBrains, Vim, and other editors via lightweight extensions. Tabby features an Answer Engine for codebase Q&A, inline chat for contextual help, and Data Connectors that ingest project documentation, Git repositories, and web pages for retrieval-augmented generation. With adaptive caching for sub-second completions, enterprise SSO/LDAP, audit logging, and the ability to run on consumer-grade GPUs, Tabby gives teams full control over their AI coding workflow without sending code to external services.
Pros & Cons
Pros
- Fully self-hosted — code never leaves your infrastructure, ideal for privacy-sensitive organizations
- Open-source (Apache 2.0) with active community and transparent development on GitHub (32k+ stars)
- Supports multiple coding LLMs so you can choose the best model for your stack and budget
- Runs on consumer-grade GPUs — no expensive enterprise hardware required
- Generous free tier for up to 5 users with all core features included
- Multi-IDE support covers VS Code, JetBrains, Vim, and more with consistent experience
Cons
- Requires server setup and GPU infrastructure management — not plug-and-play like cloud alternatives
- Completion quality varies by model choice and may lag behind proprietary solutions like GitHub Copilot
- Fewer agentic and multi-step coding workflows compared to tools like Cursor or Claude Code
- Small team (under 10 employees) means slower feature development than well-funded competitors
- Enterprise features like SSO and LDAP require paid license tiers
Key Features
Self-Hosted Code Completion
Run your own LLM-powered code completion server on-premises with sub-second response times via adaptive caching and streaming.
Answer Engine
Ask questions about your codebase and get contextual answers powered by retrieval-augmented generation over your repositories and docs.
Inline Chat
Get AI assistance directly in your editor with inline chat that understands your current code context for refactoring, explaining, and generating code.
Data Connectors & Context Providers
Connect Git repositories, project documentation, web pages, and other sources so the AI has full context about your codebase and standards.
Multi-Model Support
Choose from major coding LLMs including CodeLlama, StarCoder, DeepSeek Coder, and others via a curated models registry.
Multi-IDE Integration
Lightweight extensions for VS Code, JetBrains IDEs, Vim/Neovim, and other editors with seamless code completion and chat.
Enterprise Authentication
LDAP and SSO authentication support with user/group management and audit logging for enterprise compliance requirements.
Flexible Deployment
Deploy via Docker, Homebrew, Hugging Face Spaces, or cloud infrastructure. Runs efficiently on consumer-grade GPUs without external database dependencies.
Pricing
- Up to 5 users
- Code completion
- Answer Engine
- Inline chat
- Context providers
- Local deployment
- Community support
- Up to 50 users
- Everything in Community
- Flexible deployment options
- Email support
- Team management
- Unlimited users
- Everything in Team
- SSO & LDAP authentication
- Advanced group management
- Audit logging
- Customized deployment
- Dedicated Slack support
- Roadmap prioritization
- $20 free credits per month
- Token-based LLM pricing
- Free unlimited tab completions
- Auto-billing at $10 threshold
- No infrastructure management
Best For
Privacy-First Enterprise Development
Organizations in regulated industries (finance, healthcare, defense) that need AI coding assistance without sending proprietary code to external cloud services.
Air-Gapped Development Environments
Teams working in secure or offline environments who need AI code completion running entirely on local infrastructure with no internet dependency.
Open-Source Alternative to GitHub Copilot
Developers and teams seeking a free, customizable AI coding assistant without vendor lock-in or recurring per-seat cloud subscription costs.
Self-Hosted Team Code Assistant
Small to mid-size engineering teams wanting shared AI code completion with team management, context from their repositories, and control over model selection.
Custom Model Experimentation
ML-savvy teams who want to fine-tune or swap coding models (CodeLlama, StarCoder, DeepSeek) to optimize completions for their specific codebase and languages.
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