mudler/LocalAI — Gitpedia

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 by Ettore Di Giacinto and maintained by the LocalAI team.

: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:

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

NVIDIA GPU:

bash
# 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):

bash
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):

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

Vulkan GPU:

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

Loading models

bash
# 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

May 2026: LocalAI 4.3.0 - llama.cpp prompt cache on by default (repeated system prompts collapse from minutes to seconds), keyless cosign signing of backend OCI images, per-API-key + per-user usage attribution, Distributed v3 with per-request replica routing. Release notes
May 2026: LocalAI 4.2.0 - LocalAI sees and hears: voice recognition, face recognition + antispoofing liveness, speaker diarization. Plus drop-in Ollama API, video generation, redesigned UI with i18n + admin-configurable branding, vLLM at feature parity with llama.cpp, and 11 new backends. Release notes
April 2026: LocalAI 4.1.0 - LocalAI becomes a control tower: distributed cluster mode with VRAM-aware smart routing + autoscaling, multi-user platform with OIDC and API keys, per-user quotas with predictive analytics, in-UI fine-tuning with TRL (auto-export to GGUF), on-the-fly quantization backend, visual pipeline editor. Release notes
March 2026: LocalAI 4.0.0 - native agentic orchestration with the new Agenthub community hub, full React UI rewrite with Canvas mode, MCP Apps + client-side with tool streaming, WebRTC realtime audio, MLX-distributed. Release notes
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

Team

LocalAI is maintained by a small team of humans, together with the wider community of contributors.

Ettore Di Giacinto — original author and project lead
Richard Palethorpe — maintainer

A huge thank you to everyone who contributes code, reviews PRs, files issues, and helps users in Discord — LocalAI is a community-driven project and wouldn't exist without you. See the full contributors list.

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 and maintained by the LocalAI team.

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>