LocalCloud transforms your laptop into a complete AI development environment. Run GPT-level models, vector databases, and production infrastructure locally with zero cloud costs. No API keys, no usage limits, no data leaving your machine.

🚦 Quick Start

Installation

macOS

Apple Silicon (M1/M2/M3):

curl -L https://github.com/localcloud-sh/localcloud/releases/latest/download/localcloud-darwin-arm64.tar.gz | tar xz
sudo install -m 755 localcloud-darwin-arm64 /usr/local/bin/localcloud
sudo ln -sf /usr/local/bin/localcloud /usr/local/bin/lc

Intel:

curl -L https://github.com/localcloud-sh/localcloud/releases/latest/download/localcloud-darwin-amd64.tar.gz | tar xz
sudo install -m 755 localcloud-darwin-amd64 /usr/local/bin/localcloud
sudo ln -sf /usr/local/bin/localcloud /usr/local/bin/lc

Homebrew (Coming Soon)

# Will be available soon:
# brew tap localcloud-sh/tap
# brew install localcloud

Linux (Under Testing)

Show Linux installation (experimental)

AMD64:

curl -L https://github.com/localcloud-sh/localcloud/releases/latest/download/localcloud-linux-amd64.tar.gz | tar xz
sudo install -m 755 localcloud-linux-amd64 /usr/local/bin/localcloud
sudo ln -sf /usr/local/bin/localcloud /usr/local/bin/lc

ARM64:

curl -L https://github.com/localcloud-sh/localcloud/releases/latest/download/localcloud-linux-arm64.tar.gz | tar xz
sudo install -m 755 localcloud-linux-arm64 /usr/local/bin/localcloud
sudo ln -sf /usr/local/bin/localcloud /usr/local/bin/lc

Windows (Under Testing)

Show Windows installation (experimental)

1. Download the latest release from GitHub Releases
2. Extract localcloud-windows-amd64.zip
3. Add the extracted folder to your system PATH
4. Restart your terminal
5. Use localcloud or lc commands

Note: Windows support is experimental. WSL2 is recommended for better compatibility.

Getting Started

# Initialize a new project
lc init my-assistant
cd my-assistant

# Configure your services (interactive setup)
lc setup

You'll see an interactive wizard:

? What would you like to build? (Use arrow keys)
❯ Chat Assistant - Conversational AI with memory
  RAG System - Document Q&A with vector search  
  Speech Processing - Whisper + TTS
  Custom - Select components manually

? Select components you need: (Press <space> to select, <enter> to confirm)
❯ ◯ [AI] LLM (Text generation) - Large language models for text generation
  ◯ [AI] Embeddings (Semantic search) - Text embeddings for similarity
  ◯ [AI] Speech-to-Text (Whisper) - Convert speech to text
  ◯ [Database] Vector Database (pgvector) - PostgreSQL with pgvector
  ◯ [Infrastructure] Cache (Redis) - In-memory cache for sessions
  ◯ [Infrastructure] Queue (Redis) - Job queue for background processing
  ◯ [Infrastructure] Object Storage (MinIO) - S3-compatible storage

# Start all selected services
lc start

# Your AI services are now running!
# Check status: lc status

Note: lc is the short alias for localcloud - use whichever you prefer!

✨ Key Features

• 🚀 One-Command Setup: Get started in seconds with lc setup
• 💰 Zero Cloud Costs: Everything runs locally - no API fees or usage limits
• 🔒 Complete Privacy: Your data never leaves your machine
• 📦 Pre-built Templates: Production-ready backends for common AI use cases
• 🧠 Optimized Models: Carefully selected models that run on 4GB RAM
• 🔧 Developer Friendly: Simple CLI, clear errors, extensible architecture
• 🐳 Docker-Based: Consistent environment across all platforms
• 🌐 Mobile Ready: Built-in tunnel support for demos anywhere

🎯 Vision

Make AI development as simple as running a local web server.

LocalCloud eliminates the complexity and cost of AI development by providing a complete, local-first development environment. No cloud bills, no data privacy concerns, no complex configurations - just pure development productivity.

💡 Perfect For These Scenarios

🏢 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.

📱 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.

💸 The $2,000 Cloud Bill You Forgot About

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.

🎓 Turn Lecture Recordings into Study Notes

Got 50 hours of lecture recordings? LocalCloud + Whisper can transcribe them all for free. Add RAG and you've got an AI study buddy that knows your entire course.

🔐 When "Cloud-First" Meets "Compliance-First"

Healthcare, finance, government? Some data can't leave the building. LocalCloud keeps everything local while giving you cloud-level capabilities.

🚀 Hackathon Secret Weapon

No API rate limits. No usage caps. No waiting for credits. Just pure development speed when every minute counts.

💼 Build Commercial Products Without Burning Cash

Your Own Cursor/Copilot: Build an AI code editor without $10k/month in API costs during development.
AI Mobile Apps: Develop and test your AI-powered iOS/Android app locally until you're ready to monetize.
SaaS MVP: Validate your AI startup idea without cloud bills - switch to cloud only after getting paying customers.

🎯 Technical Interview Assignments That Shine

For Employers: Give candidates a pre-configured LocalCloud environment. No setup headaches, just coding skills evaluation.
For Candidates: Submit a fully-working AI application. While others struggle with API keys, you ship a complete solution.

🛠️ Internal Tools That Would Never Get Budget

AI Customer Support Trainer: Process your support tickets locally to train a custom assistant.
Code Review Bot: Build a team-specific code reviewer without sending code to external APIs.
Meeting Transcription System: Record, transcribe, and summarize meetings - all on company hardware.

📚 Available Templates

During lc setup, you can choose from pre-configured templates or customize your own service selection:

1. Chat Assistant with Memory

lc init my-assistant
lc setup  # Select "Chat Assistant" template

• Conversational AI with persistent memory
• PostgreSQL for conversation storage
• Streaming responses
• Model switching support

2. RAG System (Retrieval-Augmented Generation)

lc init my-knowledge-base
lc setup  # Select "RAG System" template

• Document ingestion and embedding
• Vector search with pgvector
• Context-aware responses
• Scalable to millions of documents

3. Speech-to-Text with Whisper

lc init my-transcriber
lc setup  # Select "Speech/Whisper" template

• Audio transcription API
• Multiple language support
• Real-time processing
• Optimized Whisper models

4. Custom Selection

lc init my-project
lc setup  # Choose "Custom" and select individual services

• Pick only the services you need
• Configure each service individually
• Optimal resource usage

Note: MVP includes backend infrastructure only. Frontend applications coming in v2.

🏗️ Architecture

LocalCloud Project Structure:
├── .localcloud/          # Project configuration
│   └── config.yaml       # Service configurations
├── docker-compose.yml    # Generated service definitions
└── .env                  # Environment variables

Setup Flow

1. Initialize: lc init creates project structure
2. Configure: lc setup opens interactive wizard
   • Choose template or custom services
   • Select AI models
   • Configure ports and resources
3. Start: lc start launches all services
4. Develop: Services are ready for your application

Core Services

Service	Description	Default Port
AI/LLM	Ollama with selected models	11434
Database	PostgreSQL with pgvector	5432
Cache	Redis for performance	6379
Queue	Redis for job processing	6380
Storage	MinIO (S3-compatible)	9000/9001

AI Components

Component	Service	Use Case
Whisper	Speech-to-Text	Audio transcription
Piper	Text-to-Speech	Voice synthesis
Stable Diffusion	Image Generation	AI images
Qdrant	Vector Database	Similarity search

🛠️ System Requirements

• OS: macOS, Linux, Windows (WSL2)
• RAM: 4GB minimum (8GB recommended)
• Disk: 10GB free space
• Docker: Docker Desktop or Docker Engine
• CPU: x64 or ARM64 processor

Note: LocalCloud is written in Go for performance, but you don't need Go installed. The CLI is a single binary that works everywhere.

🎮 Command Reference

Project Commands

# Initialize new project
lc init [project-name]

# Interactive setup wizard
lc setup

# Start all services
lc start

# Stop all services
lc stop

# View service status
lc status

# View logs
lc logs [service]

Service Management

# Start specific service
lc service start postgres
lc service start whisper

# Stop specific service
lc service stop postgres

# Restart service
lc service restart ai

# Get service URL
lc service url postgres

Database Commands

# Connect to database
lc db connect

# Backup database
lc db backup

# Restore from backup
lc db restore backup-file.sql

# Run migrations
lc db migrate

Model Management

# List available models
lc models list

# Pull a new model
lc models pull llama3.2:3b

# Remove a model
lc models remove llama3.2:3b

# Show model information
lc models info qwen2.5:3b

🔧 Configuration

LocalCloud uses a simple YAML configuration:

# .localcloud/config.yaml
project:
   name: my-assistant
   version: 1.0.0

models:
   default: qwen2.5:3b
   embeddings: nomic-embed-text

services:
   ai:
      memory_limit: 2GB
      gpu: false

   database:
      port: 5432
      extensions:
         - pgvector

🐛 Troubleshooting

Docker Not Running

# Check Docker status
docker info

# macOS/Windows: Start Docker Desktop
# Linux: sudo systemctl start docker

Port Already in Use

# Find process using port
lsof -i :3000

# Use different port
lc start --port 3001

Model Download Issues

# Check available space
df -h

# Clear unused models
lc models prune

Database Connection Failed

# Check if PostgreSQL is running
lc status postgres

# View PostgreSQL logs
lc logs postgres

# Restart PostgreSQL
lc service restart postgres

🤝 Contributing

We welcome contributions! See CONTRIBUTING.md for:

• Development setup
• Code style guidelines
• Testing requirements
• Pull request process

📖 Documentation

• Quick Start Guide: docs/getting-started.md
• API Reference: docs/api-reference.md
• Template Guide: docs/templates.md
• Troubleshooting: docs/troubleshooting.md

🗺️ Roadmap

✅ Phase 1 - MVP (Current)

• Core CLI with lc alias
• Interactive setup wizard
• Docker service orchestration
• PostgreSQL with pgvector
• Model management
• Service templates
• Service health monitoring

🚧 Phase 2 - Application Layer

• Backend code templates
• LocalCloud SDK
• API scaffolding
• Migration system

🔮 Phase 3 - Frontend & Advanced

• Next.js frontend templates
• Web-based admin panel
• Mobile app support
• Model fine-tuning
• Kubernetes support

📄 License

Apache License 2.0 - see LICENSE for details.

Why Apache 2.0?

• ✅ Enterprise-friendly - Your legal team will actually approve it
• ✅ Patent protection - Explicit patent grants protect everyone
• ✅ Commercial use - Build products, sell services, no restrictions
• ✅ Modification - Fork it, change it, make it yours
• ✅ Attribution - Just keep the license notice

Perfect for both startups building products and enterprises needing compliance.

🙏 Acknowledgments

LocalCloud is built on the shoulders of giants:

• Ollama for local model serving
• PostgreSQL for reliable data storage
• Docker for containerization
• All the open-source AI models making this possible

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LocalCloud - AI development at zero cost, infinite possibilities
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