Open-Source AI · Run LLMs locally

Jan vs KoboldCpp

Jan vs KoboldCpp compared for 2026 — features, license, ease of use, performance and which one to choose. Open-source, offline ChatGPT-style desktop app vs Single-file local model runner.

Updated regularly · curated by OpenSourceAI.tech

Choose Jan for users who want an open-source LM Studio alternative. Choose KoboldCpp for one-file local inference with a UI.

Jan vs KoboldCpp at a glance

SpecJanKoboldCpp
CategoryRun LLMs locallyRun LLMs locally
TypeDesktop app (open source)Local runtime (single file)
LicenseAGPL-3.0AGPL-3.0
Runs locallyYesYes
Primary languageTypeScriptC++
Ease of useBeginnerBeginner
Best forusers who want an open-source LM Studio alternativeone-file local inference with a UI
GitHub stars43.8k

How Jan and KoboldCpp score

🤝 Too close to call — Jan and KoboldCpp land within a hair (4.5 vs 4.5 / 5). Pick on fit, not on score.
CriterionJanKoboldCpp
Popularity4.0n/a
Maintenance5.0n/a
Ease of use5.05.0
Privacy5.05.0
License freedom3.53.5

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

Jan

Desktop app (open source) · AGPL-3.0

Jan is a fully open-source desktop assistant that wraps local models in a clean ChatGPT-style UI, with a built-in model hub and an optional local API server.

  • Fully open source with a clean desktop UI
  • Local API server and optional cloud model hybrid use
  • Privacy-first, works entirely offline
See the Jan page →

KoboldCpp

Local runtime (single file) · AGPL-3.0

KoboldCpp is an easy, single-executable way to run GGUF models locally with a built-in UI, strong sampler controls and support for text, image and voice.

  • Single executable, no install
  • Built-in UI and API
  • Great sampler and context controls
Visit KoboldCpp →

Key differences

Jan is desktop app (open source), while KoboldCpp is local runtime (single file). In short, Jan fits users who want an open-source LM Studio alternative, and KoboldCpp fits one-file local inference with a UI.

Which should you choose?

Choose Jan for users who want an open-source LM Studio alternative. Choose KoboldCpp for one-file local inference with a UI.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is Jan or KoboldCpp easier to use?

Both sit at a similar level (Beginner). Your choice should come down to fit rather than difficulty.

Are Jan and KoboldCpp free?

Jan is free and open source (AGPL-3.0), and KoboldCpp is free and open source (AGPL-3.0). Neither charges for the core software.

Can I run Jan and KoboldCpp locally?

Jan: yes · KoboldCpp: yes. Both can be used without sending your data to a third-party cloud where their setup allows.

Jan vs KoboldCpp — which should I pick in 2026?

Choose Jan for users who want an open-source LM Studio alternative. Choose KoboldCpp for one-file local inference with a UI.

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