Open-Source AI · Run LLMs locally

Jan vs exo

Jan vs exo compared for 2026 — features, license, ease of use, performance and which one to choose. Open-source, offline ChatGPT-style desktop app vs Run big models across your everyday devices.

Updated regularly · curated by OpenSourceAI.tech

Choose Jan for users who want an open-source LM Studio alternative. Choose exo for running models too large for any single machine at home.

Jan vs exo at a glance

SpecJanexo
CategoryRun LLMs locallyRun LLMs locally
TypeDesktop app (open source)Distributed home cluster
LicenseAGPL-3.0GPL-3.0
Runs locallyYesYes
Primary languageTypeScriptPython
Ease of useBeginnerIntermediate
Best forusers who want an open-source LM Studio alternativerunning models too large for any single machine at home
GitHub stars43.6k

Feature comparison

FeatureJanexo
Runs locally
Graphical UI
OpenAI-compatible API
Docker
GPU acceleration
Built-in model library

How Jan and exo score

🏆 Overall edge: Jan — 4.5 vs 4.0 / 5
CriterionJanexo
Popularity4.0n/a
Maintenance5.0n/a
Ease of use5.03.5
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 →

exo

Distributed home cluster · GPL-3.0

exo turns the devices you already own — Macs, PCs, phones — into a self-organizing AI cluster, splitting large models across them with automatic peer discovery.

  • Aggregates the memory of all your devices automatically
  • ChatGPT-compatible API on your own cluster
  • No expensive GPU server needed for large models
Visit exo →

Key differences

Jan is desktop app (open source), while exo is distributed home cluster. Their licenses differ (AGPL-3.0 vs GPL-3.0), which matters if you ship a commercial product. Jan leans more beginner-friendly, whereas exo is more suited to intermediate users. In short, Jan fits users who want an open-source LM Studio alternative, and exo fits running models too large for any single machine at home.

Which should you choose?

Choose Jan for users who want an open-source LM Studio alternative. Choose exo for running models too large for any single machine at home.

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 exo easier to use?

Jan is generally the easier of the two to get started with, while exo rewards more setup with more control.

Are Jan and exo free?

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

Can I run Jan and exo locally?

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

Jan vs exo — which should I pick in 2026?

Choose Jan for users who want an open-source LM Studio alternative. Choose exo for running models too large for any single machine at home.

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