#Knowledge-graph
Showing 60 of 304 repositories tagged #knowledge-graph, ranked by stars
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.
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
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.
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.
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.
Incremental engine for long horizon agents 🌟 Star if you like it!
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.
Spec-driven development for large codebases
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
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal
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.
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.
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.
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.
The Open Source Memory Layer For Autonomous Agents
Awesome papers about unifying LLMs and KGs
AI Powered Knowledge Graph Generator
Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
The semantic deployment platform.
relation-graph is an relationship graph component for React/Vue/Svelte relationship data visualization/edit. Through its slot-based customization model, users can fully customize graph elements with plain React/Vue/Svelte/HTML components, relation-graph also uses an LLM-friendly architecture and provides knowledge content.
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
利用网络上公开的数据构建一个小型的证券知识图谱/知识库
Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.
EdegQuake 🌋 High-performance GraphRAG inspired from LightRag written in Rust; Transform documents into intelligent knowledge graphs for superior retrieval and generation
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
An document retrieval project built on SAG
Efficient Retrieval Augmentation and Generation Framework
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
自然语言处理、知识图谱、对话系统，大模型等技术研究与应用。
novel deep learning research works with PaddlePaddle
Knowledge is a tool for saving, searching, accessing, exploring and chatting with all of your favorite websites, documents and files.
Semantica 🧠 • Build AI systems that can explain, trace, and justify every decision. Knowledge graphs, context graphs, reasoning engines, provenance, and governance for production AI.
Give Claude Code, Cursor, Codex CLI a ChatGPT for your codebase. Multi-agent knowledge engine, grounded Q&A with file paths and line numbers. Works in any AI IDE.
An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.
Markdown memory system for you and your AI agent
A web only WYSIWYG note taking app that saves notes locally in markdown format. v2: https://app.bangle.io/
[NeurIPS '25] Knowledge Graph Generation from Any Text
One Query. All Search Skill. 聚合 Gemini、Grok、豆包、元宝等平台原生 AI 搜索能力，免费获取科技趋势、行业舆情、热点追踪、旅行规划、日常问题统一接进自己的 Agent 与工作流，指定链接免费爬取
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.
Contextualise is an effective tool particularly suited for organising information-heavy projects and activities consisting of unstructured and widely diverse data and information resources
🌌 A React toolkit for graph visualization based on G6.
Create, Evaluate, and Connect AI Skills
GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation
总结了前端面试过程中浏览器，计算机网络，数据结构与算法，HTML，CSS，JS，Vue，React已经实战经验等相关的面试知识。
Build fast and accurate GenAI apps with GraphRAG SDK at scale 🌟
G6VP is an online visual analysis tool for graphs and a low-code platform for building graph applications.
爬取百度百科中文页面，抽取三元组信息，构建中文知识图谱
We build KGs the way nature builds matter