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://discuss.logseq.com/t/logseq-product-roadmap/34267

Build your personal knowledge base with Trilium Notes

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

Build Real-Time Knowledge Graphs for AI Agents

high-performance graph database for real-time use cases

GitNexus: The Zero-Server Code Intelligence Engine - GitNexus is a client-side knowledge graph creator that runs entirely in your browser. Drop in a GitHub repo or ZIP file, and get an interactive knowledge graph wit a built in Graph RAG Agent. Perfect for code exploration

Knowledge Engine for AI Agent Memory in 6 lines of code

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

"DeepTutor: AI-Powered Personalized Learning Assistant"

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.

Claude Code skills that turn any codebase into an interactive knowledge graph you can explore, search, and ask questions about (Multi-platform e.g., Codex are supported).

A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

Data transformation framework for AI. Ultra performant, with incremental processing. 🌟 Star if you like it!

Athens is no longer maintainted. Athens was an open-source, collaborative knowledge graph, backed by YC W21

Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.

Spec-driven development for large codebases

史上最大规模1.4亿中文知识图谱开源下载

整理知识图谱相关学习资料

结合知识库管理的 Agent Harness 平台。 An agent harness that integrates a LightRAG knowledge base and knowledge graphs. Build with LangChain v1 + Vue + FastAPI, support DeepAgents、MinerU PDF、Neo4j 、MCP.

Neo4j graph construction from unstructured data using LLMs

Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

搜索所有中文NLP数据集，附常用英文NLP数据集

[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

A unified, comprehensive and efficient recommendation library

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

东南大学《知识图谱》研究生课程

Mobile first Note Taking integrated with Git

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.

Local knowledge graph for Claude Code. Builds a persistent map of your codebase so Claude reads only what matters — 6.8× fewer tokens on reviews and up to 49× on daily coding tasks.