# Tabnine | Artificialus > For the complete content index, see [llms.txt](https://artificialus.com/llms.txt). Markdown versions of all pages are available by appending `.md` to any URL. - Home - / - Agents - / - Tabnine TA # Tabnine Privacy-first AI code assistant — self-hosted, BYOLLM, 40+ IDEs, zero data retention. Tabnine Closed source Since 2019 Visit Website Docs Download Share X Facebook Reddit Telegram Bluesky Email Tabnine is the privacy-first AI code assistant built for enterprises that need control over their code and data. It offers self-hosted deployment (on-premise or private cloud), bring-your-own-LLM (BYOLLM) support, zero data retention, and IP indemnification — making it the benchmark for AI coding tools in regulated industries, financial services, and government. Supports 40+ IDEs and 30+ programming languages. The 2025 Context Engine adds repo-wide context, custom knowledge bases, and a team configuration layer. The Agentic plan (2026) adds multi-step agent workflows. ## + Pros - Enterprise-grade deployment flexibility: deploy on SaaS, VPC, on-premises, or fully air-gapped — all inference stays within the customer's network boundary, with zero data retention and no code stored or used for model training. - Model-agnostic with BYOLLM support: works with Anthropic (Claude), OpenAI (GPT), Google (Gemini), Meta, Mistral, and open-weight models via Ollama — organizations can bring their own LLM contracts. - Comprehensive IDE coverage across 40+ IDEs: VS Code, all JetBrains IDEs, Eclipse, Visual Studio, Neovim, Emacs — fits any enterprise development environment without requiring toolchain changes. - Advanced governance and security controls: granular per-command permissions, workspace-scoped file access restrictions, sandboxed CLI execution, admin MCP tool controls, SCIM group syncing, SAML/OAuth SSO, SOC 2 Type II, ISO 27001, and GDPR compliance. - Enterprise Context Engine provides structured organizational intelligence: continuously models repositories, services, dependencies, APIs, and architectural relationships across the codebase. - IP indemnification and provenance tracking: legal coverage for AI-generated code with built-in protection against licensing risks, plus provenance and attribution features to minimize IP liability. - CLI with full agentic capabilities: terminal-native AI agent with Plan Mode, sandboxed execution, Yolo mode, Git automation, CI/CD integration, and MCP server access. ## − Cons - Not open-source: the full source code is proprietary with no public repository — no community extension, self-audit capability, or third-party plugin ecosystem. - Premium pricing: Code Assistant at $39/user/month and Agentic Platform at $59/user/month (annual) is significantly more expensive than competitors like GitHub Copilot ($10–$19/user/month) and Cursor ($20/user/month). - Free tier is very limited: only basic code completions without chat, no Context Engine access, no agentic capabilities — essentially a trial rather than a usable free tier. - Smaller ecosystem and community mindshare compared to GitHub Copilot (deep GitHub integration) and Cursor (fast-growing startup with strong developer community). ## Pricing ### Code Assistant $39/user/month Code completions + AI chat. SaaS, VPC, on-prem, air-gapped. Annual subscription. ### Agentic Platform $59/user/month All Code Assistant features + agentic workflows, Context Engine, CLI, MCP tools. Tabnine is the AI code assistant built for organizations where privacy and control are non-negotiable. Founded in 2019, it pioneered self-hosted AI coding tools and remains the benchmark for enterprise deployments in regulated industries: financial services, healthcare, government, and defense. Unlike cloud-first assistants that route code through shared infrastructure, Tabnine can be deployed entirely on-premise or in a private cloud, with all inference happening within the customer's own network boundary. Zero data retention means no code is stored or used for model training. The 2025 Context Engine release added repository-wide context understanding, custom knowledge bases (connect internal documentation, APIs, and coding standards), and a team configuration layer that lets platform teams standardize AI behavior across the organization. Tabnine supports BYOLLM across major providers — Anthropic, OpenAI, Google, Mistral, and open-weight models via Ollama — so enterprises can use the LLM they already have a commercial agreement with, without routing code through Tabnine's infrastructure. IP indemnification provides legal coverage for AI-generated code. The 2026 Agentic plan adds multi-step autonomous workflows: Tabnine can now plan and execute complex coding tasks across multiple files, run tests, apply fixes, and produce structured outputs. Vendor agnosticism across 40+ IDEs (VS Code, all JetBrains IDEs, Eclipse, Visual Studio, Neovim, Emacs, and more) and 30+ programming languages means Tabnine fits any enterprise development environment without requiring a toolchain change. SOC 2 Type II certification, SAML-based SSO, and detailed audit logs complete the enterprise compliance picture. ## Key Features • Self-hosted deployment: on-premise or private cloud, all inference within customer network • Zero data retention: no code stored, no training on customer data • BYOLLM: Anthropic, OpenAI, Google, Mistral, open-weight models (Ollama) • IP indemnification: legal coverage for AI-generated code • Context Engine (2025): repo-wide context, custom knowledge bases, team configs • Agentic workflows (2026): multi-step autonomous coding tasks across multiple files • 40+ IDEs: VS Code, all JetBrains, Eclipse, Visual Studio, Neovim, Emacs • 30+ programming languages • SOC 2 Type II certified • SAML SSO + audit logs • Free tier: basic completions, no signup required • Pro $12/mo: full completions, chat, 30+ languages • Enterprise: custom pricing, full private deployment package ## Version History 6.1 Apr 9, 2026 Governance-focused release: hardened CLI sandboxing for isolated agent execution, granular per-command permissions with intelligent chained-command parsing, and workspace-scoped file access restrictions. 6.0 Mar 1, 2026 Major foundational release: Enterprise Context Engine (Runs view, Analyzers page, consolidated data sources, Skills integration), CLI with Skills and Subagents, admin MCP tool governance controls, SCIM group syncing. CLI Launch Jan 26, 2026 Introduction of the Tabnine CLI: standalone terminal-native AI coding agent with autonomous/semi-autonomous modes, Plan Mode, Yolo mode, MCP server integration, Git automation, CI/CD integration. Enterprise Context Engine GA Feb 26, 2026 Enterprise Context Engine reaches General Availability: service summaries, OpenAPI specifications, organization-level definitions, Admin Settings, Assets view. Also: BYOAI, Claude Opus 4.6 support, Visual Studio 2026 support. Best for Enterprise teams in regulated industries (finance, healthcare, government, defense) that require self-hosted deployment, zero data retention, IP indemnification, and full control over which LLM processes their code. The privacy benchmark for AI coding tools. Capability Self-hosted deployment, BYOLLM, zero data retention, IP indemnification, 40+ IDEs, Context Engine (repo-wide context), Agentic workflows (2026), SAML SSO, SOC 2 Type II Runs on VS Code · JetBrains (all IDEs) · Neovim · Emacs · Eclipse · Visual Studio · 40+ IDEs total Signature Snippet Copy ``` `A large bank deploys Tabnine on-premise on its private AWS VPC with the Claude Sonnet API key from its own Anthropic enterprise contract. All code stays on-network, zero data is sent to Tabnine servers, and the legal team has IP indemnification coverage. Developers in IntelliJ, VS Code, and Eclipse all get context-aware completions and chat without any change to the security posture.` ``` ## More in this Space SO ### Sourcery Closed source AI code review platform for the AI era. Automated code reviews, security scanning, and team analytics across GitHub, GitLab, VS Code, and JetBrains. Used by 300,000+ developers. View profile WT ### What The Diff Closed source AI-powered PR description generator and code review assistant. Automatically writes pull request descriptions, sends stakeholder notifications, creates changelogs, and provides inline code refactoring. View profile BA ### Blackbox AI Closed source Multi-agent AI coding platform with 12+ agents and 24+ models, featuring Chairman LLM for parallel multi-agent evaluation and end-to-end encrypted inference. Ships across six surfaces: CLI, IDE, Cloud, API, Mobile, and Builder. View profile