On-Premise & Self-Hosted AI Coding Tools, Compared
An honest look at the self-hosted, air-gap-capable AI coding tools regulated teams can actually run on their own hardware — Tabnine, Refact, OpenHands, Tabby, Continue — and how to tell a genuine on-prem agent from “on-prem” marketing.
For teams that cannot send source code to a cloud, the real shortlist is not GitHub Copilot or Cursor — those are cloud-only and disqualified for air-gapped work. It is the small set of tools that run on your own hardware. Here is what each actually does, checked against vendor documentation, and how to separate a genuine on-prem agent from marketing.
Cloud copilots are out for air-gapped teams
GitHub Copilot, Cursor, Devin, and Amazon Q Developer upload your code and context to the vendor cloud (or require a mandatory cloud control-plane) to function. That single architectural fact disqualifies them for classified, ITAR, data-residency, and “no code leaves the wire” environments — no contract clause changes it. The genuine options all run on hardware you control.
The genuinely self-hostable field
Tabnine Enterprise is the closest commercial match: it documents air-gapped deployment on your own GPUs, switchable local open-weight models, and agentic actions across the SDLC. Refact.ai is open-source and self-hosted with local models and an agentic pitch — but its main repository was archived in 2026, a real maintenance risk for a risk-averse buyer. OpenHands is genuinely agentic and self-hostable, but its fully-offline, local-GPU-model operation is not clearly documented. Tabby truly self-hosts on your GPUs but is code completion and chat, not an autonomous agent. Continue.dev is air-gappable with local models but was acquired and its repo archived in 2026. Each is strong on some axes and short on others.
How to tell real sovereignty from marketing
Seven checks separate a sovereign agent from an “on-prem” label: (1) it runs fully air-gapped on YOUR GPUs on local open-weight models — not a required cloud control-plane; (2) it is truly agentic (plans, edits, runs tests, commits) — not autocomplete; (3) it produces offline-verifiable audit evidence — not a vendor “zero-egress” promise; (4) identity terminates on your own directory (AD / LDAP / SAML); (5) governance with human approvals and an egress control; (6) a regulated / government focus; and (7) native Arabic / RTL and local support if you sell into the GCC. Ask for the architecture, not the adjective.
Where NeueCode fits
NeueCode is built for the full intersection: an autonomous agent that runs air-gapped on your GPUs on local open-weight models, with human approvals, a deny-by-default egress broker that signs an offline-verifiable per-run manifest, a tamper-evident Agent Flight Recorder auditors verify offline, on-prem AD/LDAP/SAML identity, and native English/Arabic with a Kuwait/GCC go-to-market. That combination — sovereignty plus compliance-grade evidence plus a bilingual Gulf presence — is the ground no single tool above covers.
Frequently asked questions
Can GitHub Copilot run on-premise or air-gapped?
No. Copilot — like Cursor and Devin — sends your code and context to the vendor cloud to function, so it is disqualified for air-gapped or “no code leaves the wire” environments. You need a tool built to run entirely on your own hardware.
Which on-prem AI coding tools run models on your own GPUs?
Tabnine Enterprise, Refact.ai, and Tabby document running local open-weight models on the customer’s own GPUs; open-source agents like OpenHands are self-hostable but their fully-offline local-model path is less clearly documented. NeueCode runs local open-weight models (Qwen3-Coder-class) on your GPUs by design.
How do I verify a vendor’s “on-prem” or “sovereign” claim?
Ask whether the tool needs any cloud control-plane to function, whether the model runs on your GPUs or the vendor’s, whether it produces evidence you can verify offline, and whether identity terminates on your own directory. Marketing says “sovereign”; architecture proves it.