🧰 Open Source Tools — Awesome Graph Learning
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Search, filter, and sort to find relevant repositories. Data sourced from GitHub topics; 992 repos indexed for this collection.
AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.
AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎,预测万物
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.
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
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
Graph Neural Network Library for PyTorch
high-performance graph database for real-time use cases
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Must-read papers on graph neural networks (GNN)
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.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Incremental engine for long horizon agents 🌟 Star if you like it!
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
Self-organizing AI second brain for Obsidian + Claude Code. Drop any source and Claude reads, links, and files it into one connected knowledge graph of plain Markdown you own. AI note-taking, personal knowledge management (PKM), and an open-source Notion alternative. Based on Karpathy's LLM Wiki pattern.
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.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Athens is no longer maintainted. Athens was an open-source, collaborative knowledge graph, backed by YC W21
Context Graph for AI Native SDLC
links to conference publications in graph-based deep learning
Neo4j graph construction from unstructured data using LLMs
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).
A unified, comprehensive and efficient recommendation library
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
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️
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
RuVector is a High Performance, Real-Time, Self-Learning Ai, Vector GNN, Memory DB built in Rust.
A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.
Mobile first Note Taking integrated with Git
Official repository for the Boltz biomolecular interaction models
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记
SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
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.
Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.
: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
A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.
StellarGraph - Machine Learning on Graphs
PipesHub is a fully extensible and explainable workplace AI platform for enterprise search and workflow automation
Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Build your personal knowledge base with TriliumNext Notes
A distributed graph deep learning framework.
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai
PentestAgent is an AI agent framework for black-box security testing, supporting bug bounty, red-team, and penetration testing workflows.
preparing new version
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
Repository for benchmarking graph neural networks (JMLR 2023)
The Open Source Memory Layer For Autonomous Agents