Open-Source AI · Run LLMs locally

exo vs Cortex

exo vs Cortex compared for 2026 — features, license, ease of use, performance and which one to choose. Run big models across your everyday devices vs Ollama-style runtime from the Jan team.

Updated regularly · curated by OpenSourceAI.tech

Choose exo for running models too large for any single machine at home. Choose Cortex for a clean Ollama alternative with swappable engines.

exo vs Cortex at a glance

SpecexoCortex
CategoryRun LLMs locallyRun LLMs locally
TypeDistributed home clusterLocal runtime (CLI)
LicenseGPL-3.0Apache-2.0
Runs locallyYesYes
Primary languagePythonC++
Ease of useIntermediateBeginner
Best forrunning models too large for any single machine at homea clean Ollama alternative with swappable engines
GitHub stars

Feature comparison

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

How exo and Cortex score

🏆 Overall edge: Cortex — 5.0 vs 4.0 / 5
CriterionexoCortex
Popularityn/an/a
Maintenancen/an/a
Ease of use3.55.0
Privacy5.05.0
License freedom3.55.0

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

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 →

Cortex

Local runtime (CLI) · Apache-2.0

Cortex is a local AI engine with a simple CLI, an OpenAI-compatible API and multiple backends (llama.cpp, TensorRT-LLM), designed to power the Jan desktop app or run standalone.

  • Multiple inference engines behind one CLI
  • OpenAI-compatible server out of the box
  • Backed by the team behind the Jan desktop app
Visit Cortex →

Key differences

exo is distributed home cluster, while Cortex is local runtime (CLI). Their licenses differ (GPL-3.0 vs Apache-2.0), which matters if you ship a commercial product. exo leans more intermediate-friendly, whereas Cortex is more suited to beginner users. In short, exo fits running models too large for any single machine at home, and Cortex fits a clean Ollama alternative with swappable engines.

Which should you choose?

Choose exo for running models too large for any single machine at home. Choose Cortex for a clean Ollama alternative with swappable engines.

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 exo or Cortex easier to use?

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

Are exo and Cortex free?

exo is free and open source (GPL-3.0), and Cortex is free and open source (Apache-2.0). Neither charges for the core software.

Can I run exo and Cortex locally?

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

exo vs Cortex — which should I pick in 2026?

Choose exo for running models too large for any single machine at home. Choose Cortex for a clean Ollama alternative with swappable engines.

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