exo vs
Cortexexo 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
| Spec | exo | Cortex |
|---|---|---|
| Category | Run LLMs locally | Run LLMs locally |
| Type | Distributed home cluster | Local runtime (CLI) |
| License | GPL-3.0 | Apache-2.0 |
| Runs locally | Yes | Yes |
| Primary language | Python | C++ |
| Ease of use | Intermediate | Beginner |
| Best for | running models too large for any single machine at home | a clean Ollama alternative with swappable engines |
| GitHub stars | — | — |
| Feature | exo | Cortex |
|---|---|---|
| Runs locally | ✓ | ✓ |
| Graphical UI | ✗ | ✗ |
| OpenAI-compatible API | ✓ | ✓ |
| Docker | ✗ | ✓ |
| GPU acceleration | ✓ | ✓ |
| Built-in model library | ✓ | ✓ |
| Criterion | exo | Cortex |
|---|---|---|
| Popularity | n/a | n/a |
| Maintenance | n/a | n/a |
| Ease of use | 3.5 | 5.0 |
| Privacy | 5.0 | 5.0 |
| License freedom | 3.5 | 5.0 |
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.
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.
CortexCortex 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.
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.
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.
Cortex is generally the easier of the two to get started with, while exo rewards more setup with more control.
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.
exo: yes · Cortex: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
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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