local

A lightweight, lightning-fast, in-process vector database

🏩 A simple process manager for developers. Start apps from your browser and access them using local domains

~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.

🧱 easy fast local-first microVM runtime and library

Run PyTorch LLMs locally on servers, desktop and mobile

Personal AI Notebooks. Organize files & webpages and generate notes from them. Open source, local & open data, open model choice (incl. local).

Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.

A datetime library for Rust that encourages you to jump into the pit of success.

A curated list of awesome platforms, tools, practices and resources that helps run LLMs locally

An open source approach to locally record and enable searching everything you view on your Mac.

Text-To-Speech, RAG, and LLMs. All local!

Control panel for VLLM, Sglang, llama.cpp, exllamav3

Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser

Fully-featured web interface for Ollama LLMs

Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust 🦀

An local, offline (after initial setup), portable OCR software that can process images and PDF files, using DeepSeek-OCR-2 AI (running directly on your machine).

ChattyUI - your private AI chat for running LLMs in the browser

ARGO is an open-source AI Agent platform that brings Local Manus to your desktop. With one-click model downloads, seamless closed LLM integration, and offline-first RAG knowledge bases, ARGO becomes a DeepResearch powerhouse for autonomous thinking, task planning, and 100% of your data stays locally. Support Win/Mac/Docker.

Early WebMCP proposal / implementation - since evolved and worked on by much more capable folks that develop the web: https://github.com/webmachinelearning/webmcp

AI frontend