mudler/LocalAI
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
LocalAI is an open-source, self-hosted AI engine that acts as a drop-in OpenAI-compatible API for running models on your own hardware. It runs LLMs plus image, audio, and video models, works without a GPU, and lets you keep all inference private and local.
Our Review
LocalAI, created by Ettore Di Giacinto (mudler), has 46,000 GitHub stars as a free, self-hosted stand-in for the OpenAI API. Point your existing code at it instead of a cloud endpoint, and it serves text, image, audio, and video models from your own machine, even one without a GPU.
What LocalAI does:
- •OpenAI-compatible API a drop-in replacement for OpenAI's endpoints, so existing SDKs and apps work by changing the base URL.
- •Runs any model LLMs, plus image (Stable Diffusion), text-to-speech, audio, and video models, from one engine.
- •No GPU required runs on consumer CPUs as well as GPUs, so you can self-host without specialized hardware.
- •Fully private and local inference stays on your machine, with no data sent to a third-party API.
- •Model gallery install models from a built-in gallery, or bring GGUF and other formats yourself.
- •MCP and agents expose tools over MCP and run agentic workflows against your local models.
Getting started:
Run it with Docker (docker run localai/localai) or the install script, pull a model from the gallery, and point any OpenAI client at your local endpoint. Docs at localai.io.
Limitations:
LocalAI is an inference engine, not a chat app, so you pair it with a UI like Open WebUI for an end-user experience. Performance depends on your hardware: large models run slowly on a CPU, and the best quality still benefits from a GPU. Supporting many model types and backends means setup and tuning take some effort, and it is a developer-oriented tool rather than a consumer product.
Our Verdict
LocalAI is one of the most capable open-source ways in 2026 to run AI entirely on your own hardware. If you want an OpenAI-compatible endpoint for text, image, audio, and video models without sending data to the cloud or needing a GPU, LocalAI delivers exactly that, with 46,000 stars and an MIT license.
For developers, the big win is compatibility: because LocalAI mirrors the OpenAI API, you swap a base URL and your existing code, SDKs, and tools keep working against local models. It is multimodal in one engine, so the same server can handle a chatbot, image generation, and speech without separate stacks.
Skip LocalAI if you only need a simple local chat experience; Ollama is faster to start for plain LLM serving. If you want maximum throughput in production, a GPU-optimized server can outperform a general-purpose CPU-friendly engine.
Frequently Asked Questions
What is LocalAI?
LocalAI is an open-source, self-hosted AI engine, created by Ettore Di Giacinto (mudler). It provides a drop-in, OpenAI-compatible API so you can run language, image, audio, and video models on your own hardware, including machines without a GPU. Your existing OpenAI-based code works by pointing it at your local LocalAI endpoint.
Is LocalAI free and open source?
Yes. LocalAI is released under the MIT license and is free and open source as of 2026. There is no licensing cost and no paid tier required to run it. Your only cost is the hardware you run it on, since all inference happens locally rather than through a paid cloud API.
Does LocalAI need a GPU?
No. As of 2026, LocalAI is designed to run on consumer hardware, including CPU-only machines, which is a core part of its appeal. A GPU improves speed and lets you run larger models, but it is not required. This makes LocalAI a practical way to self-host AI on equipment you already own.
How is LocalAI different from Ollama?
Both let you run models locally with an OpenAI-compatible API. Ollama is focused mainly on LLMs and is very simple to start. LocalAI is broader: one engine for text, image, audio, and video models, with a gallery and agent features. Choose Ollama for the simplest local LLM serving; choose LocalAI when you need multimodal local AI in one place.
What can LocalAI run?
LocalAI runs a wide range of models as of 2026: large language models for chat and code, Stable Diffusion for image generation, text-to-speech and audio models, and video models, all through one OpenAI-compatible server. You install models from its gallery or bring your own in formats like GGUF, and switch between them as needed.
How do I install LocalAI?
Visit the GitHub repository at https://github.com/mudler/LocalAI for installation instructions.
What license does LocalAI use?
LocalAI uses the MIT license.
What are alternatives to LocalAI?
Explore related tools and alternatives on My AI Guide.
Open source & community-verified
MIT licensed: free to use in any project, no strings attached. 46,653 developers have starred this, meaning the community has reviewed and trusted it.
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