Capture first. Organize later. A local-first Markdown app that turns scattered records into clear notes with AI.

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google

[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.

A modular graph-based Retrieval-Augmented Generation (RAG) system

🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents

[KDD'2026] "VideoRAG: Chat with Your Videos"

本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

[ICML'26] SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal

Build autonomous AI agents in Python.

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

open-source agentic AI data assistant for the next generation of AI + Data products.

Retrieval and Retrieval-augmented LLMs

Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

53AI Hub is an open-source AI portal and knowledge base for managing enterprise knowledge, AI agents, prompts, and AI tools, seamlessly integrating with Coze, Dify, FastGPT, RAGFlow. 一个AI知识库与Agent门户