// local-llm · exo-explore/exo

exo

Run frontier AI locally.

★ 47.7k stars⑂ 3.5k forksApache-2.0updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

exo is an open-source local llm project by exo-explore (exo-explore/exo on GitHub). It has 47,732 GitHub stars and 3,539 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 3 October 2026.

Repository
exo-explore/exo
GitHub stars
47,732
Forks
3,539
License
Apache-2.0
Last updated on GitHub
3 October 2026
Category
Local LLM
Listing
Full install guide
Official site
GitHub repo
// how it works

How it works

  1. Install the runtime

    One binary or app gets you a working local model setup.

  2. Download a model

    Pick a size that fits your RAM/VRAM; smaller models run on laptops.

  3. Chat or integrate

    Use the built-in UI, or point OpenAI-compatible clients at it.

  4. Go private

    Airplane mode works — your prompts never leave the device.

// features

Why people love it

Document chat

Ask questions over your PDFs, notes, and codebases.

No subscriptions

Pay nothing per token, ever.

100% private

Prompts and documents stay on your hardware, always.

Extensible

RAG, tools, and agents build on the same base.

Quantized efficiency

Smart compression runs big models on modest hardware.

Offline capable

Works on planes, in basements, behind firewalls.

Advertisement
// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/exo-explore/exo.git
    cd exo
  2. Step 2 — Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 — Run it

    Follow the project's launch command — Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

Advertisement
// faq

Questions, answered

Who maintains exo?

It is an open-source project at exo-explore/exo with 3,539 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is exo free for commercial use?

Apache 2.0 licensed — commercial use allowed with attribution.

Is it really private?

Yes — with no network calls, there's nothing to leak.

Are local models as good as GPT-4?

Close on many tasks now; frontier cloud models still lead on hard reasoning.

What hardware do I need?

8B models run on 16GB RAM; bigger models want a real GPU.

// keep exploring

Similar tools

AI Chat

NextChat

✨ Zero-config AI chat assistant. No API key needed — sign up and instantly chat with GPT-5, Claude 4, Gemini 2.5, DeepSeek & 100+ top models. Pay-as-you-go s…

★ 88.8k starsMIT
View guide →
Local LLM

FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

★ 39.6k starsApache-2.0
View guide →
Local LLM

llm

Access large language models from the command-line

★ 12.6k starsApache-2.0
View guide →
Local LLM

claude-real-video

Let any LLM actually watch a video — frames plus transcript, run locally.

★ 2.2k starsMIT
View guide →
Local LLM

SiliconScope

Run siliconscope locally: sudoless apple silicon system monitor (native swiftui g.

★ 975 starsMIT
View guide →
Local LLM

Koboldcpp

KoboldCpp - Run GGUF AI models locally with a KoboldAI UI. One File. Zero Install

★ 11.9k starsAGPL-3.0
View guide →
// alternatives

Alternatives in Local LLM

The most-starred other Local LLM projects in the LibreAI catalogue — the realistic shortlist if exo is not the right fit.

Get exo

Free and open — grab the source, star the repo, and start creating.