LocalAI

LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

45,360

3,940

LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

Drop-in API compatibility — OpenAI, Anthropic, ElevenLabs APIs
36+ backends — llama.cpp, vLLM, transformers, whisper, diffusers, MLX...
Any hardware — NVIDIA, AMD, Intel, Apple Silicon, Vulkan, or CPU-only
Multi-user ready — API key auth, user quotas, role-based access
Built-in AI agents — autonomous agents with tool use, RAG, MCP, and skills
Privacy-first — your data never leaves your infrastructure

Created and maintained by Ettore Di Giacinto.

:book: Documentation | :speech_balloon: Discord | 💻 Quickstart | 🖼️ Models | ❓FAQ

Guided tour

https://github.com/user-attachments/assets/08cbb692-57da-48f7-963d-2e7b43883c18

<details> <summary> Click to see more! </summary>

</details>

Quickstart

macOS

Note: The DMG is not signed by Apple. After installing, run: sudo xattr -d com.apple.quarantine /Applications/LocalAI.app. See #6268 for details.

Containers (Docker, podman, ...)

Already ran LocalAI before? Use docker start -i local-ai to restart an existing container.

CPU only:

docker run -ti --name local-ai -p 8080:8080 localai/localai:latest

NVIDIA GPU:

# CUDA 13
docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-gpu-nvidia-cuda-13

# CUDA 12
docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-gpu-nvidia-cuda-12

# NVIDIA Jetson ARM64 (CUDA 12, for AGX Orin and similar)
docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-nvidia-l4t-arm64

# NVIDIA Jetson ARM64 (CUDA 13, for DGX Spark)
docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-nvidia-l4t-arm64-cuda-13

AMD GPU (ROCm):

docker run -ti --name local-ai -p 8080:8080 --device=/dev/kfd --device=/dev/dri --group-add=video localai/localai:latest-gpu-hipblas

Intel GPU (oneAPI):

docker run -ti --name local-ai -p 8080:8080 --device=/dev/dri/card1 --device=/dev/dri/renderD128 localai/localai:latest-gpu-intel

Vulkan GPU:

docker run -ti --name local-ai -p 8080:8080 localai/localai:latest-gpu-vulkan

Loading models

# From the model gallery (see available models with `local-ai models list` or at https://models.localai.io)
local-ai run llama-3.2-1b-instruct:q4_k_m
# From Huggingface
local-ai run huggingface://TheBloke/phi-2-GGUF/phi-2.Q8_0.gguf
# From the Ollama OCI registry
local-ai run ollama://gemma:2b
# From a YAML config
local-ai run https://gist.githubusercontent.com/.../phi-2.yaml
# From a standard OCI registry (e.g., Docker Hub)
local-ai run oci://localai/phi-2:latest

Automatic Backend Detection: LocalAI automatically detects your GPU capabilities and downloads the appropriate backend. For advanced options, see GPU Acceleration.

For more details, see the Getting Started guide.

Latest News

March 2026: Agent management, New React UI, WebRTC, MLX-distributed via P2P and RDMA, MCP Apps, MCP Client-side
February 2026: Realtime API for audio-to-audio with tool calling, ACE-Step 1.5 support
January 2026: LocalAI 3.10.0 — Anthropic API support, Open Responses API, video & image generation (LTX-2), unified GPU backends, tool streaming, Moonshine, Pocket-TTS. Release notes
December 2025: Dynamic Memory Resource reclaimer, Automatic multi-GPU model fitting (llama.cpp), Vibevoice backend
November 2025: Import models via URL, Multiple chats and history
October 2025: Model Context Protocol (MCP) support for agentic capabilities
September 2025: New Launcher for macOS and Linux, extended backend support for Mac and Nvidia L4T, MLX-Audio, WAN 2.2
August 2025: MLX, MLX-VLM, Diffusers, llama.cpp now supported on Apple Silicon
July 2025: All backends migrated outside the main binary — lightweight, modular architecture

For older news and full release notes, see GitHub Releases and the News page.

Features

Text generation (llama.cpp, transformers, vllm ... and more)
Text to Audio
Audio to Text
Image generation
OpenAI-compatible tools API
Realtime API (Speech-to-speech)
Embeddings generation
Constrained grammars
Download models from Huggingface
Vision API
Object Detection
Reranker API
P2P Inferencing
Distributed Mode — Horizontal scaling with PostgreSQL + NATS
Model Context Protocol (MCP)
Built-in Agents — Autonomous AI agents with tool use, RAG, skills, SSE streaming, and Agent Hub
Backend Gallery — Install/remove backends on the fly via OCI images
Voice Activity Detection (Silero-VAD)
Integrated WebUI

Supported Backends & Acceleration

LocalAI supports 36+ backends including llama.cpp, vLLM, transformers, whisper.cpp, diffusers, MLX, MLX-VLM, and many more. Hardware acceleration is available for NVIDIA (CUDA 12/13), AMD (ROCm), Intel (oneAPI/SYCL), Apple Silicon (Metal), Vulkan, and NVIDIA Jetson (L4T). All backends can be installed on-the-fly from the Backend Gallery.

See the full Backend & Model Compatibility Table and GPU Acceleration guide.

Resources

Autonomous Development Team

LocalAI is helped being maintained by a team of autonomous AI agents led by an AI Scrum Master.

Live Reports: reports.localai.io
Project Board: Agent task tracking
Blog Post: Learn about the experiment

Citation

If you utilize this repository, data in a downstream project, please consider citing it with:

@misc{localai,
  author = {Ettore Di Giacinto},
  title = {LocalAI: The free, Open source OpenAI alternative},
  year = {2023},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/go-skynet/LocalAI}},

Star history

License

LocalAI is a community-driven project created by Ettore Di Giacinto.

MIT - Author Ettore Di Giacinto mudler@localai.io

Acknowledgements

LocalAI couldn't have been built without the help of great software already available from the community. Thank you!

llama.cpp
https://github.com/tatsu-lab/stanford_alpaca
https://github.com/cornelk/llama-go for the initial ideas
https://github.com/antimatter15/alpaca.cpp
https://github.com/EdVince/Stable-Diffusion-NCNN
https://github.com/ggerganov/whisper.cpp
https://github.com/rhasspy/piper
exo for the MLX distributed auto-parallel sharding implementation

Contributors

This is a community project, a special thanks to our contributors!
<a href="https://github.com/go-skynet/LocalAI/graphs/contributors">
<img src="https://contrib.rocks/image?repo=go-skynet/LocalAI" />
</a>

Repository

mudler

mudler/LocalAI

Created

March 18, 2023

Updated

April 13, 2026