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title = "LocalAI"
-description = "The free, OpenAI and Anthropic alternative. A small, composable AI stack: run any model locally and install only what you use."
+description = "The open, modular AI runtime. Run text, vision, voice, image, video, agents, and more on hardware you control."
type = "home"
+++
-**The free, OpenAI and Anthropic alternative. A small, composable AI stack.** - Run powerful language models, autonomous agents, and document intelligence **locally** on your hardware. A lean core that pulls model backends on demand, so you install only what you use.
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Open source · MIT licensed
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One runtime. Every kind of AI. Your hardware.
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LocalAI runs text, vision, speech, sound, images, video, embeddings, reranking, and autonomous agents behind one modular stack—from a CPU laptop to a distributed GPU cluster.
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-{{% notice tip %}}
-**[⭐ Star us on GitHub](https://github.com/mudler/LocalAI)** - 40k+ stars and growing!
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A small core, not a giant bundle.
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Backends arrive when the model needs them.
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LocalAI keeps the core lean. Each backend wraps a best-in-class engine—llama.cpp, vLLM, SGLang, MLX, whisper.cpp, diffusion engines, and many more—as an isolated service pulled on demand.
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Install, update, or remove engines independently.
Mix CPU, NVIDIA, AMD, Intel, Apple Silicon, Vulkan, and Jetson.
Build your own backend in any language through an open gRPC contract.
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-Start with **[LocalAI](https://localai.io)**'s OpenAI-compatible API, extend with **[LocalAGI](https://github.com/mudler/LocalAGI)**'s autonomous agents, and enhance with **[LocalRecall](https://github.com/mudler/LocalRecall)**'s semantic search - all running locally on your hardware.
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Start on one machine. Keep going.
The same runtime from workstation to private AI fabric.
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01Laptop
Run useful models locally, including CPU-only setups.
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02Team server
Add authentication, API keys, roles, quotas, and usage visibility.
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03Distributed cluster
Route across workers, fit models across devices, and scale with demand.
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-**Open Source** MIT Licensed.
-{{% /notice %}}
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More than inference
A complete local AI control plane.
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+ Agents built in
Create agents with MCP tools, skills, memory, RAG, citations, and streamed execution from the UI or API.
+ Realtime by design
Build interruptible voice experiences with WebRTC, streaming STT, LLM output, and TTS.
+ Privacy you can enforce
Keep data on your infrastructure and add PII analysis, redaction, policy middleware, and audit visibility.
+ Models under your control
Discover capabilities, import models, fine-tune, quantize, route, and monitor them in one place.
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-
-## Why Choose LocalAI?
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-**OpenAI API Compatible** - Run AI models locally with our modular ecosystem. From language models to autonomous agents and semantic search, build your complete AI stack without the cloud.
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-### Key Features
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-- **LLM Inferencing**: LocalAI is a free, **Open Source** OpenAI alternative. Run **LLMs**, generate **images**, **audio** and more **locally** with consumer grade hardware.
-- **Agentic-first**: Extend LocalAI with LocalAGI, an autonomous AI agent platform that runs locally, no coding required. Build and deploy autonomous agents with ease.
-- **Memory and Knowledge base**: Extend LocalAI with LocalRecall, A local rest api for semantic search and memory management. Perfect for AI applications.
-- **OpenAI Compatible**: Drop-in replacement for OpenAI API. Compatible with existing applications and libraries.
-- **No GPU Required**: Run on consumer grade hardware. No need for expensive GPUs or cloud services.
-- **Multiple Models**: Support for various model families including LLMs, image generation, and audio models. Supports multiple backends for inferencing.
-- **Privacy Focused**: Keep your data local. No data leaves your machine, ensuring complete privacy.
-- **Easy Setup**: Simple installation and configuration. Get started in minutes with Binaries installation, Docker, Podman, Kubernetes or local installation.
-- **Community Driven**: Active community support and regular updates. Contribute and help shape the future of LocalAI.
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-## Quick Start
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-**Docker is the recommended installation method** for most users:
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-```bash
-docker run -p 8080:8080 --name local-ai -ti localai/localai:latest
-```
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-For complete installation instructions, see the [Installation guide](/installation/).
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-## Get Started
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-1. **[Install LocalAI](/installation/)** - Choose your installation method (Docker recommended)
-2. **[Quickstart Guide](/getting-started/quickstart/)** - Get started quickly after installation
-3. **[Install and Run Models](/getting-started/models/)** - Learn how to work with AI models
-4. **[Try It Out](/getting-started/try-it-out/)** - Explore examples and use cases
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-## Learn More
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-- [Explore available models](https://models.localai.io)
-- [Model compatibility](/model-compatibility/)
-- [Try out examples](https://github.com/mudler/LocalAI-examples)
-- [Join the community](https://discord.gg/uJAeKSAGDy)
-- [Check the LocalAI Github repository](https://github.com/mudler/LocalAI)
-- [Check the LocalAGI Github repository](https://github.com/mudler/LocalAGI)
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One command to begin
Run your first local AI stack.
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docker run -ti --name local-ai -p 8080:8080 localai/localai:latest