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LocalCloud Hero Light

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Build AI Applications Locally, Deploy Anywhere

LocalCloud revolutionizes AI development by providing a complete, local-first development environment that runs entirely on your machine. No cloud bills, no data privacy concerns, no complex configurations - just pure development productivity.

Get Started in 30 Seconds

Initialize, configure, and launch your AI stack with just three commands

Zero Cloud Costs

Everything runs locally - no API fees, no usage limits, no surprise bills

Available Services

Learn about the AI, database, and infrastructure services available

Runs on 4GB RAM

Optimized models and efficient resource management for any laptop

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Quick Start

Get your first AI application running in under 5 minutes: 
# Install LocalCloud (macOS/Linux with Homebrew)
brew install localcloud-sh/tap/localcloud

# Or use the install script
curl -fsSL https://localcloud.sh/install | bash

# Create and configure a new project
lc setup my-assistant
cd my-assistant

# Start all services
lc start
Your AI services are now running locally! Check out the Quickstart Guide for detailed instructions.

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Why LocalCloud?

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🏢 Enterprise POCs Without The Red Tape

Waiting 3 weeks for cloud access approval? Your POC could be done by then. LocalCloud lets you build and demonstrate AI solutions immediately, no IT tickets required.

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📱 Mobile Demos That Actually Work

Present from your phone to any client’s screen. Built-in tunneling means you can demo your AI app from anywhere - coffee shop WiFi, client office, or conference room.

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💸 No More Forgotten Demo Bills

We’ve all been there - spun up a demo, showed the client, forgot to tear it down. With LocalCloud, closing your laptop is shutting down the infrastructure.

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🎓 Perfect for Learning

Students and developers can experiment with cutting-edge AI models without worrying about costs or quotas. Build, break, and rebuild as much as you want.

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Core Features

LocalCloud’s interactive CLI guides you through the entire setup process. Choose from pre-built templates or customize your stack component by component.
Start with production-ready configurations for common use cases:
  • Chat Assistant: Conversational AI with memory and context
  • RAG System: Document Q&A with vector search
  • Speech Processing: Whisper STT + TTS pipelines
Carefully selected models that balance performance and resource usage:
  • Llama 3.2: Best overall performance for chat
  • Qwen 2.5: Excellent for coding tasks
  • Nomic Embed: Efficient text embeddings
  • Whisper: State-of-the-art speech recognition
Everything you need for production AI applications:
  • PostgreSQL with pgvector for embeddings
  • Redis for caching and queues
  • MinIO for S3-compatible storage
  • Ollama for model serving

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Join the Community

GitHub

Star us on GitHub and contribute to the project

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Ready to Start Building?

Installation Guide

Install LocalCloud on macOS, Linux, or Windows

Quickstart Guide

Follow our step-by-step quickstart guide
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