Tabby
Self-hosted AI coding assistant for air-gapped environments
Description
Tabby (TabbyML) is a self-hosted AI coding assistant built by TabbyML, Inc., a San Francisco company founded in 2023 by Meng Zhang and Lucy Gao, both former Google AI researchers. The Rust-built server runs on-premise or in a private cloud with no external database or cloud service dependency, targeting engineering teams in banking, semiconductors, and defense where source code cannot leave the organization's infrastructure. TabbyML raised $7.2 million total and has accumulated over 32,000 GitHub stars since its April 2023 launch.
Key Capabilities:
Self-contained server binary requiring no DBMS or cloud service, deployable via Docker, Kubernetes, or bare-metal
RAG-based code completion that indexes local repositories for context-aware suggestions
Answer Engine for team-level Q&A trained on internal codebases, documentation, and GitLab merge request history
Support for consumer-grade GPUs running CodeLlama, StarCoder, CodeQwen, Codestral, and other open-source models through an official model registry
IDE plugins for VS Code, JetBrains, Neovim, and Vim
OpenAPI interface for integrating with existing CI/CD pipelines and cloud IDEs
Admin UI with team management, LDAP authentication, usage analytics, and storage reporting
GitHub and GitLab integration with branch, pull request, and CI/Lint/Test result visibility
Shareable persistent pages from Answer Engine sessions
Custom documentation ingestion through REST APIs
Agent capabilities in private preview for organizations on the early access waitlist
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