DRKG alternatives for AI agents.

The Open Source Memory Layer For Autonomous Agents

code and resources used in the Going Meta sessions

high-performance graph database for real-time use cases

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.

Easily compute clip embeddings and build a clip retrieval system with them

🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations

Neo4j graph construction from unstructured data using LLMs

:books: To Be Professional Developer From Zero To Mastery, Interactive MindMap, RoadMap(Learning Path/Interview Questions), xCompass, Weekly for Developer, to Learn Everything in ITCS :dizzy: 程序员的技术视野、知识管理与职业规划，提高个人与团队的研发效能

YC S26 | WUPHF is a collaborative office of AI employees who build and maintain their own knowledge base to never lose context for the tasks you give them. Supports Claude Code, Codex, OpenClaw and local LLMs via OpenCode.

A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物

A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: https://logseq.io/p/NX4mc_ggEV

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

Build your personal knowledge base with Trilium Notes