# exo

> Run frontier AI models across your own devices

Pools the memory and compute of several home devices into one cluster to run large models locally.

- Source: https://github.com/exo-explore/exo
- License: Apache-2.0
- Language: Python
- Stars: 47723
- Forks: 3539
- Contributors: 100
- Last commit: 2026-08-25
- Latest release: v1.0.71 (2026-04-23)
- Purpose: AI & LLM tooling, Local inference
- Runs on: CLI
- For: Personal

## Worth score: 67/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 23/25
- Momentum: 10/20
- Maintenance: 17/25
- Community: 12/15
- Readiness: 5/15

## Alternatives

- [Ollama](https://diggithub.com/ollama/ollama.md): Run open-weight LLMs locally with one command
- [llama.cpp](https://diggithub.com/ggml-org/llama.cpp.md): LLM inference in C/C++ on CPUs and GPUs
- [whisper.cpp](https://diggithub.com/ggml-org/whisper.cpp.md): Whisper speech recognition in C/C++
- [Colibri](https://diggithub.com/JustVugg/colibri.md): Run large MoE models on everyday hardware
- [llmfit](https://diggithub.com/AlexsJones/llmfit.md): Find which LLMs run on your hardware
- [llamafile](https://diggithub.com/mozilla-ai/llamafile.md): Run an LLM from a single file
- [ds4](https://diggithub.com/antirez/ds4.md): Local DeepSeek 4 inference engine
- [LocalAI](https://diggithub.com/mudler/LocalAI.md): Drop-in OpenAI API replacement that runs locally

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Source page: https://diggithub.com/exo-explore/exo
Updated: 2026-10-03