Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes
| Date | Stars |
|---|---|
| 2026-07-31 | 835 |
| 2026-08-02 | 835 |
| 2026-08-06 | 835 |
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# LlamaFarm - Edge AI for Everyone > Enterprise AI capabilities on your own hardware. No cloud required. [](LICENSE) [](https://www.python.org/downloads/) [](https://go.dev/dl/) [](https://docs.llamafarm.dev) [](https://discord.gg/RrAUXTCVNF) **LlamaFarm** is an open-source AI platform that runs entirely on your hardware. Build RAG applications, train custom classifiers, detect anomalies, and run document processing—all locally with complete privacy. - 🔒 **Complete Privacy** — Your data never leaves your device - 💰 **No API Costs** — Use open-source models without per-token fees - 🌐 **Offline Capable** — Works without internet once models are downloaded - ⚡ **Hardware Optimized** — Automatic GPU/NPU acceleration on Apple Silicon, NVIDIA, and AMD ### Desktop App Downloads Get started instantly — no command line required: | Platform | Download | |----------|----------| | **Mac (Universal)** | [Download](https://github.com/llama-farm/llamafarm/releases/latest/download/LlamaFarm-desktop-app-mac-universal.dmg) | | **Windows** | [Download](https://github.com/llama-farm/llamafarm/releases/latest/download/LlamaFarm-desktop-app-windows.exe) | | **Linux (x86_64)** | [Download](https://github.com/llama-farm/llamafarm/releases/latest/download/LlamaFarm-desktop-app-linux-x86_64.AppImage) | | **Linux (ARM64)** | [Download](https://github.com/llama-farm/llamafarm/releases/latest/download/LlamaFarm-desktop-app-linux-arm64.AppImage) | --- ### What Can You Build? | Capability | Description | |-----------|-------------| | **RAG (Retrieval-Augmented Generation)** | Ingest PDFs, docs, CSVs and query them with AI | | **Custom Classifiers** | Train text classifiers with 8-16 examples using SetFit | | **Anomaly Detection** | 12+ algorithms for batch and streaming anomaly detection | | **Tool Calling (MCP)** | Connect models to external tools via Model Context Protocol | | **OCR & Document Extraction** | Extract text and structured data from images and PDFs | | **Named Entity Recognition** | Find people, organizations, and locations | | **Multi-Model Runtime** | Switch between Ollama, OpenAI, vLLM, or local GGUF models | **Video demo (90 seconds):** https://youtu.be/W7MHGyN0MdQ --- ## Quickstart ### Option 1: Desktop App Download the desktop app above and run it. No additional setup required. ### Option 2: CLI + Development Mode 1. **Install the CLI** macOS / Linux: ```bash curl -fsSL https://raw.githubusercontent.com/llama-farm/llamafarm/main/install.sh | bash ``` Windows (PowerShell): ```powershell irm https://raw.githubusercontent.com/llama-farm/llamafarm/main/install.ps1 | iex ``` Or download directly from [releases](https://github.com/llama-farm/llamafarm/releases/latest). 2. **Create and run a project** ```bash lf init my-project # Generates llamafarm.yaml lf start # Starts services and opens Designer UI ``` 3. **Chat with your AI** ```bash lf chat # Interactive chat lf chat "Hello, LlamaFarm!" # One-off message ``` The Designer web interface is available at `http://localhost:14345`. ### Option 3: Development from Source ```bash git clone https://github.com/llama-farm/llamafarm.git cd llamafarm # Install Nx globally and initialize the workspace npm install -g nx nx init --useDotNxInstallation --interactive=false # Required on first clone # Start all services (run each in a separate terminal) nx start server # FastAPI server (port 14345) nx start rag # RAG worker for document processing nx start universal-runtime # ML models, OCR, embeddings (port 11540) ``` -
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Neha Prasad · India
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Tomoki Nakamaru · Japan
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5d3e68b53da59b36, topic:mistral, topic:qwen
matched fp:5d3e68b53da59b36, topic:mlops
matched fp:5d3e68b53da59b36, topic:rag
matched fp:5d3e68b53da59b36, topic:prompt-engineering