LocalAI

mudler/LocalAI

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

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Go MITLast pushed Jul 7, 2026

Overview

LocalAI enables running various machine learning models across different domains (language, vision, audio) without requiring specialized hardware like GPUs. It supports composable and modular backend architectures for flexibility in installing only necessary components.

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go get github.com/mudler/LocalAI

README




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

A small core, not a bundle. Each backend wraps a best-in-class engine (llama.cpp, vLLM, whisper.cpp, stable-diffusion, MLX...) in its own image, pulled only when a model needs it. You install nothing you don't use.

  • Composable by design: backends are separate and pulled on demand, so you install only what your model needs
  • Open and extensible: load any model, or build your own backend in any language against an open interface
  • Drop-in API compatibility: OpenAI, Anthropic, and ElevenLabs APIs across every backend
  • Any model, any modality: LLMs, vision, voice, image, and video behind one API
  • 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

Click to see more!

User and auth

https://github.com/user-attachments/assets/228fa9ad-81a3-4d43-bfb9-31557e14a36c

Agents

https://github.com/user-attachments/assets/6270b331-e21d-4087-a540-6290006b381a

Usage metrics per user

https://github.com/user-attachments/assets/cbb03379-23b4-4e3d-bd26-d152f057007f

Fine-tuning and Quantization

https://github.com/user-attachments/assets/5ba4ace9-d3df-4795-b7d4-b0b404ea71ee

WebRTC

https://github.com/user-attachments/assets/ed88e34c-fed3-4b83-8a67-4716a9feeb7b

Quickstart