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4 months ago
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Deploy any AI model, agents, database, and RAG pipeline to any device in 30 seconds. No cloud required.
We're working on single-binary AI deployment. The architecture is ready, but some core features are still placeholders. Join us in building the future of local AI!
Turn AI models and associated agents, databases, and pipelines into single executables that run anywhere.
It's like Docker, but for AI.
- What is LLaMA Farm
- Quick Start
- Features
- Project Structure
- Real-World Examples
- Advanced Usage
- Contributing
- Development Setup
- License
Llama Farm packages your AI models, vector databases, and data pipelines into standalone binaries that run on any device - from Raspberry Pis to enterprise servers. No Python. No CUDA hassles. No cloud bills.
This repository contains:
- llamafarm-cli - The core CLI tool (npm install -g @llamafarm/llamafarm)
- plugins - Community plugins for platforms, databases, and integrations
- ✅ Full CLI structure with farming metaphor
- ✅ Plugin architecture for platforms/databases/communication
- ✅ Mac platform detection with Metal support
- ✅ Demo web UI showing the vision
- ✅ Project scaffolding and configuration
- ✅ Mock mode for development (--mock flag)
- ⏳ Actual model compilation (shows friendly placeholder messages)
- ⏳ Real vector DB embedding
- ⏳ Binary generation (planned via pkg + native modules)
- ⏳ GPU acceleration
- ⏳ Production deployments
We're building in public! All commands work but some show placeholder messages. Perfect for contributors who want to help shape the future of local AI deployment.
The current cloud AI model makes us digital serfs, paying rent to use tools we don't own, feeding data to systems we don't control. The farm model makes us owners—of our models, our data, our future. But ownership requires responsibility. You must tend your farm.
When you own your model and your data, you own your future. Let's make the AI revolution for EVERYONE.
We are shipping in real time - join the revolution to help us go faster!
- 🎯 One-Line Deployment - Deploy complex AI models with a single command
- 📦 Zero Dependencies - Compiled binaries run anywhere, no runtime needed
- 🔒 100% Private - Your data never leaves your device
- ⚡ Lightning Fast - 10x faster deployment than traditional methods
- 💾 90% Smaller - Optimized models use fraction of original size
- 🔄 Hot Swappable - Update models without downtime
- 🌍 Universal - Mac, Linux, Windows, ARM - we support them all
- 🎯 Single Binary - The Baler compiles everything into one executable file
LlamaFarm uses a plugin-based architecture that makes it easy to add support for new platforms, databases, and features:
- CLI Core - The main command interface and deployment engine
- Plugin System - Extensible plugins for platforms, tools, and protocols
- Fields (Platforms) - Mac, Linux, Windows, Raspberry Pi, and more
- Equipment (Tools) - Vector databases, RAG pipelines, model runtimes
- Pipes (Protocols) - WebSocket, WebRTC, SSE for real-time communication
Your AI is now running locally. No cloud. No subscriptions. Just pure, private AI.
🥚 Note: Model compilation is still incubating! Commands work but show friendly placeholder messages. Join us in building this!
LlamaFarm uses a simple agricultural metaphor for AI deployment:
- 🌱 Plant - Configure your deployment
- 📦 Bale - Compile everything into a single binary
- 🌾 Harvest - Deploy anywhere without dependencies
The Baler is the magic that packages your model, vector database, agents, and web UI into a single executable file that runs anywhere!
Status Legend: 🐣 = Working | 🥚 = Still incubating
See the CLI documentation for all commands and options, including detailed information about the Baler and binary compilation.
🥚 Future State: These examples show what will be possible once all features are hatched!
"We replaced our $50K/month OpenAI bill with llamafarm. Deployment went from 3 days to 30 seconds." - CTO, Fortune 500 Retailer
"Finally, AI that respects user privacy. llamafarm is what we've been waiting for." - Lead Dev, Healthcare Startup
"I deployed Llama 3 to my grandma's laptop. She thinks I'm a wizard now." - Random Internet Person
"I am glad I joined LLaMA Farm so early, I am part os something huge" - LLama Farm contributor
| Deployment Time | 3-5 hours | 30 seconds | 360x faster |
| Binary Size | 15-20 GB | 1.5 GB | 90% smaller |
| Dependencies | 50+ packages | 0 | ∞ better |
| Cloud Costs | $1000s/month | $0 | 100% savings |
Browse and deploy from our community model collection:
Need compliance, support, and SLAs?
- 🔐 Air-gapped deployments
- 📊 Advanced monitoring
- 🏥 HIPAA/SOC2 compliance
- 💼 Priority support
- 🚀 Custom optimizations
- Single binary compilation
- Multi-platform support
- Model optimization
- Vector DB integration
- GPU acceleration (Q1 2025)
- Distributed inference (Q1 2025)
- Mobile SDKs (Q2 2025)
- Hardware appliances (Q3 2025)
LlamaFarm consists of multiple components working together:
The main command-line interface for deploying AI models. This is what you install with npm install -g @llamafarm/llamafarm.
Community-driven plugins for platform support, integrations, and features.
- Fields - Platform-specific optimizations (Mac, Linux, Raspberry Pi)
- Equipment - Tools and integrations (databases, RAG pipelines, model runtimes)
- Pipes - Communication protocols (WebSocket, WebRTC, SSE)
Browse the plugins directory to see available plugins or contribute your own!
🎯 This is the perfect time to contribute! We're in early preview with a solid architecture but many core features still need implementation. Your code can shape how millions deploy AI locally.
High Priority (Make a Real Impact!):
- Binary Compilation - Implement actual model packaging in bale.ts
- Vector DB Embedding - Real ChromaDB integration
- Model Quantization - GGUF format handling
- GPU Support - CUDA/Metal acceleration
- Platform Binaries - Windows/Linux compilation
We love contributions! LlamaFarm is designed to be easily extensible:
-
Core CLI Development
git clone https://github.com/llama-farm/llamafarm cd llamafarm/llamafarm-cli npm install npm run dev -
Plugin Development
cd plugins npm run create # Interactive plugin creatorSee the Plugin Development Guide for details.
-
Submit Your Changes
npm test # Run tests npm run lint # Check code style git push # Submit PR
- Linux Field - CUDA optimization for NVIDIA GPUs
- Windows Field - Windows-specific optimizations
- ChromaDB Equipment - Production vector database
- Ollama Runtime - Official Ollama integration
- WebRTC Pipe - Peer-to-peer streaming
- Raspberry Pi 5 optimizations
- NVIDIA Jetson support
- Qdrant vector database
- LlamaIndex RAG pipeline
- Android/Termux support
See our Plugin System for more ideas and how to contribute!
Want to contribute or run from source? Here's how:
- CLI Documentation - Detailed CLI usage and options
- Plugin Development - How to create plugins
- API Reference - Coming soon
LlamaFarm now includes a mock mode that allows you to test without installing Ollama or downloading models:
This is perfect for:
- Contributing to the project
- Testing the CLI functionality
- CI/CD pipelines
- Development on limited bandwidth
llamafarm is MIT licensed. See LICENSE for details.
This is the ground floor of local AI deployment. While others debate, we're building. The architecture is solid, the vision is clear, and the farming metaphors are delightful.
What early contributors get:
- Shape the future of AI deployment
- Core contributor status
- Direct impact on millions of developers
- Be part of the "I was there when it was just llamas in the pasture" crew
Ready to help AI escape the cloud? Let's build this together! 🦙
🌾 Bringing AI back to the farm, one deployment at a time.
If you like llamafarm, give us a ⭐ on GitHub!
🚀 One more thing...
We're building something even bigger. llamafarm Compass - beautiful hardware that makes AI deployment truly plug-and-play.
