knowledge-graph

code and resources used in the Going Meta sessions

This is the official github repo of Think-on-Graph (ICLR 2024). If you are interested in our work or willing to join our research team in Shenzhen, please feel free to contact us by email (xuchengjin@idea.edu.cn)

A foundational library for Semantic Hypergraphs

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

🔗 Semantic MediaWiki turns MediaWiki into a knowledge management platform with query and export capabilities

The low-code Knowledge Graph application platform. Apache license.

AI-powered spec generation and review using multi-repo code graph intelligence for backend teams that ship to production.

Markdown filesystem for agents and teams.

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

Deepseek Harness、Openclaw知识图谱记忆插件。2026年4月受邀发布在清华大学讨论会。Knowledge Graph + Memory；Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse

Jivejdon is a chain notebook with DDD/CQRS/Clean architecture

Repo-aware recommendations for skills, agents, MCP servers, and model harnesses. Use your own inventory or the shipped 79,958-node graph with 68,494 skills, 467 agents, 10,790 MCPs, and 207 harnesses.

Excel-to-Neo4j knowledge graph examples: legacy py2neo v3 plus modern Neo4j GraphRAG/vector search.

Karpathy's LLM Wiki implementation plugin for Obsidian - turns notes and PDFs into a linked, LLM-powered knowledge base with entity pages, concept pages, graph-powered Q&A, and local-first privacy.

code and docs for the EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"

LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with DeepSeek Harness, Claude Code, OpenClaw, and any agent runtime.

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

(subjective) overview of projects which are related both to python and semantic technologies (RDF, OWL, Reasoning, ...)

Intent-driven workflow orchestration for multi-agent AI development — adaptive lifecycle engine, self-reinforcing knowledge graph, and visual dashboard for Claude Code, Gemini, Codex & more

A graph-native memory system for AI agents and context graphs. Store conversations, build knowledge graphs, and let your agents learn from their own reasoning — all backed by Neo4j.

Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.

GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from documents and enables natural language querying with configurable entity extraction and local LLM integration

A tensorflow implementation of Knowledge Graph Convolutional Networks

LLM powered retrieval engine designed to process a ton of sources to collect a comprehensive list of entities.

Hybrid RAG system combining vector search, knowledge graph (LightRAG), and cross-encoder reranking — with Docling document parsing, visual intelligence (image/table captioning), agentic streaming chat, and inline citations. Powered by Gemini or local Ollama models.

Create knowledge graphs with LLMs

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey