Best Private & Self-Hosted AI Coding Assistants for Enterprise (2026)
A security-first roundup of private, on-premises, and air-gapped AI coding tools — ranked for enterprise, IT, and regulated software teams that cannot send source code to the cloud.
Last updated: June 5, 2026
AI coding assistants have become standard developer tooling, but the default deployment for most of them is the public cloud — your source code, prompts, and proprietary logic leave your perimeter to reach a hosted model. For enterprises in defense, government, finance, healthcare, and any organization handling CUI, ITAR-controlled data, or classified work, that is a non-starter. The good news: a mature market of private, self-hosted, and fully air-gapped AI coding assistants now exists, ranging from Apache 2.0 open-source harnesses to commercial platforms with on-prem and disconnected deployment tiers.
This guide ranks ten options on the criteria that matter to security and procurement teams: deployment model (cloud, on-prem, air-gap), data-handling guarantees, compliance posture (SOC 2, FedRAMP, IL5, ITAR/EAR), licensing, and developer experience. We treat every tool fairly — open-source projects like Continue.dev, Tabby, and Cline sit alongside commercial platforms like Tabnine, Windsurf, and Sourcegraph Cody, each with real strengths. For a broader view of on-prem AI tooling beyond coding, see our guide to the best local AI tools for enterprise. If the decision is about the hardware rather than the software, our ranking of the best private AI server options covers on-prem infrastructure instead.
Our Editor's Pick for the most restrictive environments is AirgapAI Code from Iternal Technologies — a terminal-native agentic assistant built to run fully disconnected with a perpetual license and no license-server callback. It is complementary to the strong commercial and open-source peers below, several of which also offer credible air-gap paths.
This ranking covers developer tooling. Looking for Microsoft 365 Copilot alternatives for the wider business instead? See Microsoft Copilot alternatives.
Private AI Coding Assistants at a Glance
Deployment, offline capability, licensing, and entry pricing for the top contenders.
| Tool | Air-Gap Capable | Open Source | License Model | Entry Price |
|---|---|---|---|---|
| AirgapAI Code | Perpetual or subscription | $1,999 one-time | ||
| Tabnine | Subscription | $39/user/mo | ||
| Windsurf | Subscription | $15/user/mo | ||
| Tabby (TabbyML) | Apache 2.0 | Free | ||
| Continue.dev | Apache 2.0 | Free | ||
| Refact.ai | Open source | Free | ||
| Cline | Apache 2.0 (BYOK) | Free | ||
| Sourcegraph Cody | Subscription | $59/user/mo | ||
| CodeGeeX | Open weights | Free | ||
| GitHub Copilot | Subscription | $19/user/mo |
Major Defense Contractor Achieves AI at the Edge
- Air-gapped deployment for classified environments
- CMMC 2.0 compliance maintained
- ITAR-compliant AI operations
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Our Recommendations
Best for Air-Gapped & Classified Teams
A perpetual-license, single-binary agentic assistant that runs fully disconnected with no license-server callback — purpose-built for CUI, ITAR, and classified software work inside your perimeter.
See AirgapAI CodeBest Established Commercial Air-Gap Option
A triple-certified (SOC 2 Type II, GDPR, ISO 27001) platform with a fully air-gapped Enterprise tier and documented Dell PowerEdge plus NVIDIA on-prem deployment paths.
Visit TabnineBest Open-Source Local-First Harness
Apache 2.0, model-agnostic, and runs entirely local via Ollama or vLLM across VS Code, JetBrains, and Neovim — total data sovereignty with bring-your-own-model freedom.
Visit Continue.devPlan Your Private AI Rollout
Map your secure AI tooling, deployment model, and compliance requirements before you buy with a structured strategy engagement from Iternal.
Build Your BlueprintThe 10 Best Private & Self-Hosted AI Coding Assistants
Ranked best-first for enterprise and regulated software teams — from the most restrictive air-gapped option to the cloud baseline.
A terminal-native, autonomous coding platform that runs entirely inside your perimeter — including fully air-gapped, disconnected networks. AirgapAI Code pairs a perpetual one-time license with no license-server callback, making it a strong fit for defense, intelligence, and regulated teams that need agentic coding without any cloud dependency. It is complementary to the commercial and open-source peers below, several of which also offer air-gap paths.
Key Strengths
- Runs fully air-gapped and disconnected with zero mandatory telemetry — all outbound communications can be disabled by design
- Perpetual one-time license ($1,999) with no per-seat subscription and no license-server callback
- Runs fully inside your boundary, so deployments support FedRAMP, NIST 800-171/CMMC and HIPAA/PHI programs with no hosted service in scope
- Single-device deploy with VDI/Citrix support and bring-your-own-model integration
Considerations
- Desktop tiers cover Windows 10+ and macOS Apple Silicon only — no advertised Linux desktop tier
- On-page 40-70% delivery acceleration and zero external data exposure are internal marketing claims, not independently benchmarked
Tabnine is one of the longest-standing commercial AI coding assistants with a credible, fully air-gapped Enterprise tier where no data leaves your infrastructure. It is triple-certified (SOC 2 Type II, GDPR, ISO 27001), trains on none of your code, and offers contractual zero-retention guarantees — a frequent first choice for security-conscious enterprises.
Key Strengths
- Fully air-gapped Enterprise deployment with SaaS, VPC, and on-prem options
- Tabnine's own audited certifications: SOC 2 Type II, GDPR, and ISO 27001
- Zero code retention, no training on your code, with contractual guarantees
- Documented on-prem path using Dell PowerEdge servers and NVIDIA GPUs
Considerations
- FedRAMP applies to its underlying cloud infrastructure (AWS/GCP), not to Tabnine as a SaaS product
- Free plan discontinued — entry is now a paid seat
Windsurf (formerly Codeium, now part of Cognition AI) is an AI-native IDE built around its Cascade agent, with strong multi-file context. Its self-hosted deployment runs inference inside your network with no external API calls, and it carries notably strong compliance credentials including FedRAMP High and SOC 2 Type II — making it a genuine self-host and air-gap-capable peer.
Key Strengths
- Self-hosted deployment is air-gap-capable with no external API calls
- SOC 2 Type II plus FedRAMP High (ATO via Palantir FedStart on AWS GovCloud)
- Extensions noted as DoD IL5- and ITAR-compliant; HIPAA BAAs available
- Default zero-data-retention on paid seats and no training on user code
Considerations
- Full self-host and air-gap deployment is an Enterprise-tier engagement, not the entry plan
- Free tier is credit-limited (25 credits/month)
Tabby is an Apache 2.0, Rust-built coding assistant that runs as a self-contained server and operates fully offline after a one-time model download. It gives teams centralized, self-hosted control over their AI tooling with broad GPU support (CUDA and Metal), and an active project with roughly 33,000 GitHub stars.
Key Strengths
- Apache 2.0 license — fully open source and self-hostable
- Runs completely offline after the model is downloaded
- Self-contained Rust server with CUDA and Metal GPU support
- Active, popular project with an optional managed cloud tier
Considerations
- Self-hosting requires you to provision and maintain GPU infrastructure
- Smaller ecosystem than the largest commercial platforms
Continue.dev is an Apache 2.0, model-agnostic harness that lets you connect any model — including fully local runtimes via Ollama, vLLM, or LM Studio — across VS Code, JetBrains, and Neovim. Because you supply and host the model, it delivers complete data sovereignty, and the project has roughly 2.5M installs and 32k+ stars.
Key Strengths
- Apache 2.0 and fully model-agnostic — connect cloud or local models
- Local-first privacy via Ollama, vLLM, or LM Studio
- Works in VS Code, JetBrains, and Neovim
- Large, active community with ~2.5M installs
Considerations
- It is the harness, not a model — you must supply and host the LLM yourself
- Local model quality depends entirely on the runtime and hardware you choose
Refact.ai is an open-source coding agent that ranks as the #1 open-source AI agent on SWE-bench Verified. Its local-first architecture self-hosts via Docker or AWS Marketplace, supports bring-your-own models with local runtimes like Ollama and vLLM, and its Enterprise tier adds on-prem deployment, codebase fine-tuning, and zero telemetry.
Key Strengths
- #1 open-source AI agent on SWE-bench Verified
- Local-first design with on-prem self-hosting via Docker or AWS
- Bring-your-own models plus local runtimes (Ollama, LM Studio, vLLM)
- Enterprise tier adds codebase fine-tuning and zero telemetry
Considerations
- Advanced fine-tuning and zero-telemetry features require the custom Enterprise tier
- Free tier is metered by a monthly coin allowance (BYOK requests excluded)
Cline is an Apache 2.0, bring-your-own-key agent and the most-installed AI extension for VS Code with 5M+ installs and roughly 62,000 GitHub stars. It runs client-side, keeps code local with BYOK or local models, and supports Plan/Act modes, terminal execution, and approval gates across VS Code, JetBrains, Cursor, Windsurf, and Zed.
Key Strengths
- Apache 2.0 and free — pay only your own model provider, or $0 with local models
- Code stays local with BYOK; supports Ollama, LM Studio, and any OpenAI-compatible endpoint
- Plan/Act modes, terminal execution, and human approval gates
- Most-installed VS Code AI extension with 30+ provider integrations
Considerations
- BYOK model means you manage API keys and provider costs yourself
- Air-gapped operation depends on pairing it with a self-hosted local model
Sourcegraph Cody is an Enterprise-only assistant built on Sourcegraph's industry-leading code search, giving large organizations best-in-class cross-repo context. It can be self-hosted for data control, supports bring-your-own LLM (including self-hosted local models), and contractually will not train on your data. Individual developers now use Sourcegraph's separate Amp tool.
Key Strengths
- Best-in-class cross-repo context powered by Sourcegraph code search
- Self-hosted Enterprise deployment for full data control
- Bring-your-own LLM, including self-hosted local models
- Contractual commitment to not train on your data
Considerations
- Free and Pro tiers were discontinued in 2025 — Enterprise-only with a high minimum
- A fully air-gapped configuration is not publicly documented and requires a sales conversation
CodeGeeX is an open-weight coding model (current flagship CodeGeeX4-ALL-9B) developed by Zhipu AI. The publicly available weights are self-hostable and run offline on NVIDIA (V100/A100) or Ascend 910 hardware with quantization support, available via VS Code and JetBrains plugins — a flexible option for teams comfortable operating their own model.
Key Strengths
- Open model weights are publicly available and self-hostable
- Runs offline on NVIDIA or Ascend 910 hardware with quantization
- VS Code and JetBrains plugins available
- Sub-10B flagship model balances capability and footprint
Considerations
- Developed by a China-based group (Zhipu AI), a data-governance consideration for some US and defense buyers
- The hosted plugin may default to remote endpoints unless pointed at a local deployment
GitHub Copilot is the most widely adopted AI coding assistant and the natural baseline for cloud-first teams already on GitHub. Business and Enterprise tiers offer zero-retention and admin policy controls, and it remains an excellent fit-for-purpose choice — though it is cloud-only, with no self-hosted or air-gapped option, which is why it anchors the bottom of a privacy-focused ranking.
Key Strengths
- Deep, native integration across the GitHub ecosystem
- Business and Enterprise tiers offer zero-retention and admin policy controls
- Code completions and Next Edit Suggestions do not consume usage credits
- Mature, widely adopted, and well-supported tooling
Considerations
- Cloud-only — no self-hosted or air-gapped deployment option
- All plans moved to usage-based billing in June 2026, adding cost variability beyond the base seat
GitHub Copilot Alternatives You Can Run Inside Your Perimeter
GitHub Copilot is the cloud-native standard and the right default for teams already on GitHub. Where source code cannot leave the network, the alternatives that run inside your perimeter are Tabnine and Windsurf on their self-hosted tiers, the open-source harnesses Continue.dev, Tabby, Cline and Refact.ai, and AirgapAI Code for fully disconnected work.
Copilot earned its position: deep GitHub integration, mature tooling, and zero-retention plus admin policy controls on the Business and Enterprise tiers. It is the strongest choice when code is allowed to reach a hosted model. The nine below are ranked on one different question — how much of the assistant can you keep behind your own firewall — and several of them are excellent tools in their own right regardless of where they run.
- AirgapAI Code — Runs fully disconnected with no license-server callback, on a perpetual one-time license — the complement for CUI, ITAR and classified work that cannot reach any cloud endpoint.
- Tabnine — The most established commercial air-gapped tier, carrying SOC 2 Type II, GDPR and ISO 27001 certifications with a documented Dell PowerEdge and NVIDIA on-prem path.
- Windsurf — Self-hosted deployment runs inference with no external API calls, backed by FedRAMP High and SOC 2 Type II, so the Cascade agent stays inside the network.
- Continue.dev — Apache 2.0 harness that points VS Code, JetBrains and Neovim at a model you host yourself through Ollama, vLLM or LM Studio — completions and chat without an outbound call.
- Tabby (TabbyML) — A self-contained Rust server that runs completely offline after the model download, giving a team one centrally managed replacement for cloud completion.
- Refact.ai — Open-source agent that self-hosts via Docker or AWS, with codebase fine-tuning and zero telemetry on the Enterprise tier.
- Cline — Apache 2.0 and bring-your-own-key: the extension runs client-side, and pairing it with a local model removes the last outbound dependency.
- Sourcegraph Cody — Self-hosted Enterprise deployment with bring-your-own LLM for organizations whose real requirement is cross-repo context; a fully air-gapped configuration is not publicly documented.
- CodeGeeX — Open weights you can run offline on NVIDIA or Ascend hardware when you would rather operate the model itself, with VS Code and JetBrains plugins in front of it.
Where to go next
- AirgapAI Code — the private, self-hosted complement to a cloud assistant, with the agent loop running on the developer's own machine.
- For more information visit the working with AI coding agents page, which covers the practices that hold up in a real codebase.
AI Coding Agents vs Coding Assistants: Which Tools Run the Whole Loop
An AI coding assistant completes and explains code you are writing. An AI coding agent takes an objective, edits across multiple files, runs the build and test loop, and iterates until it passes. Agents need repository context and permission to execute commands, which is what makes their deployment model matter.
That difference decides the security review. A completion model sees the file you have open; an agent sees the repository, writes to it, and runs commands on the machine. Where the code is regulated, the question stops being which model is smartest and becomes which parts of the loop stay inside the network.
| Tool | Runs an agent loop | Multi-file edits | Test and terminal loop | Repo-wide context | Runs air-gapped |
|---|---|---|---|---|---|
| AirgapAI Code | Autonomous, terminal-native, with parallel specialist sub-agents (Entourage Mode) | Generates and refactors across files | Creates tests and runs build and validation loops until acceptance criteria are met | Executes an objective across the entire repository | Yes, fully disconnected with no license-server callback |
| Windsurf | Yes, the Cascade agent | Yes, multi-file editing with strong context | Yes, command execution inside the IDE | Workspace-wide indexing | Yes, on the self-hosted Enterprise tier with no external API calls |
| Refact.ai | Yes, autonomous agent (top-ranked open-source agent on SWE-bench Verified) | Yes | Yes, tool use and validation as part of the agent run | Repository context, with codebase fine-tuning on Enterprise | Yes, self-hosted via Docker or AWS with zero telemetry on Enterprise |
| Cline | Yes, Plan and Act modes with human approval gates | Yes | Yes, terminal execution with approval before each step | Workspace files; depth depends on the model you connect | Yes, when paired with a self-hosted model instead of a provider key |
| Tabnine | Yes, on the Agentic Platform tier | Yes, on the agent tier | Test-generation and code-review agents | Workspace and repository context | Yes, on the fully air-gapped Enterprise deployment |
| GitHub Copilot | Yes, agent mode and the GitHub-hosted coding agent | Yes | Yes, in the hosted GitHub environment | Repository and GitHub project context | No, cloud-only by design |
| Continue.dev | Agent mode in the harness; the loop is only as capable as the model behind it | Model-dependent | Model-dependent | Codebase indexing you run locally | Yes, with a local model through Ollama, vLLM or LM Studio |
| Sourcegraph Cody | Chat and inline edits; Sourcegraph ships its agent as the separate Amp product | Command-driven edits | Not part of the assistant | Best-in-class cross-repo context from Sourcegraph code search | Self-hosted Enterprise; a full air-gap configuration is not publicly documented |
| Tabby (TabbyML) | Completion, chat and an answer engine rather than an agent loop | No | No | Repository indexing for retrieval-backed answers | Yes, completely offline after the model download |
| CodeGeeX | An open-weight model with IDE plugins, not an agent harness | No | No | File and project context inside the plugin | Yes, self-hosted weights on NVIDIA or Ascend hardware |
An agent loop spends far more inference per task than completion does, so self-hosting one raises the hardware question before the tooling question: size the GPU or Xeon capacity for sustained generation, not for occasional autocomplete. If you are specifying that machine, compare the turnkey AI appliance rankings first, then pick the agent that will run on it.
Working with agents in practice
- For more information visit the working with AI coding agents page: scoping a run, the standing rules file, reviewing the diff, and capping the spend.
- AirgapAI Code runs the same loop on a disconnected workstation, with optional local audit logging for the security team.
Why AirgapAI Code for CUI, ITAR & Classified Software Teams
Iternal's complementary offering for the most restrictive disconnected environments — purpose-built for teams that cannot tolerate any cloud dependency or recurring license callback.
Truly Disconnected Operation
All AI processing happens 100% locally on the device. AirgapAI Code runs fully air-gapped with no network connection — source code, prompts, and generated output never leave the machine, and all outbound communications can be disabled by design.
Perpetual License, No Callback
A one-time $1,999 perpetual license removes per-seat subscriptions entirely. There is no license-server callback, so the software keeps working indefinitely inside disconnected and classified networks with no phone-home requirement.
Compliance-Aligned Architecture
Built for regulated work: every model call stays inside your boundary, so deployments support FedRAMP, NIST 800-171/CMMC and HIPAA/PHI programs with no hosted service in scope — the posture defense, intelligence, and regulated software teams require.
Single-Binary Desktop Deploy
Deploy on Windows 10+ or macOS Apple Silicon as a single application, with full VDI and Citrix support for the virtualized desktop infrastructure common in government and regulated industries.
Bring Your Own Model
Integrate custom and approved models so your team controls exactly which weights run inside the perimeter — no dependency on a hosted endpoint or external API for inference.
Zero Mandatory Telemetry
There is no required telemetry or data collection. Optional local audit logging gives security teams on-prem governance and traceability without any data ever leaving the environment.
Frequently Asked Questions
Ready to Code Securely Inside Your Perimeter?
If your team handles CUI, ITAR-controlled, or classified work, AirgapAI Code delivers autonomous AI coding that never touches the cloud — with a perpetual license and no license-server callback. Explore the product or map your secure AI rollout with a strategy engagement.