knowledge-graph

Read books the way Feynman did — along with a continuously evolving network of agent-simulated great minds

AKB — Agent Knowledgebase. Organizational memory for AI agents: vault-scoped docs / tables / files unified by URI graph, served over MCP.

Cognithor · Agent OS: Local-first autonomous agent operating system. 19 LLM providers, 18 channels, 145 MCP tools, 6-tier memory, Agent Packs marketplace, zero telemetry. Python 3.12+, Apache 2.0.

Official code of the ACL 2025 paper "SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generation"

[ICLR 2023] Multimodal Analogical Reasoning over Knowledge Graphs

Memory that remembers the story not just the facts. File System Memory and Three layer sentence graph for AI agents -> Facts, Episodes, raw Sentences. One DB. Zero config.

High-performance Knowledge Graph engine for AI, LLMs, and GraphRAG — built for the next generation of intelligent applications.

A complete collection of RAG interview questions, answers (548 questions & 41 RAG types), system design scenarios, architecture patterns, and production-ready concepts.

A collection of personally developed projects contributing towards the advancement of Artificial General Intelligence(AGI)

Local-first AI knowledge app and Agent Skill with evidence-backed Wiki, an interactive knowledge universe, Viki Q&A, and shareable knowledge galaxies.

Modular GraphRAG framework

A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre assembly. Not a wrapper, a ground up storage engine that thinks.

PhantomCrowd AI Marketing Simulator 2026: Content Spread Forecasting with Local LLM

🦀 Agentic RAG for drug intelligence · 57 skills · 15 task categories · DTI · ADR · DDI · PGx · Repurposing · Powered by LangGraph

Autonomous, agentic, creative story writing system that incorporates stored embeddings and Knowledge Graphs.

Open-source, real-time collaborative AI canvas - notes, mini-apps, and agents on one infinite board.

Self-hosted mem0 MCP server for Claude Code. Run a complete memory server against self-hosted Qdrant + Neo4j + Ollama while using Claude as the main LLM.

AI Agents for drug discovery, drug development, and other pharmaceutical R&D

Multimodal entity linking (MEL) aims to utilize multimodal information to map mentions to corresponding entities defined in knowledge bases. We release three MEL datasets: Weibo-MEL, Wikidata-MEL and Richpedia-MEL, containing 25,602, 18,880 and 17,806 samples from social media, encyclopedia and multimodal knowledge graphs respectively. A MEL dataset construction approach is proposed, including five stages: multimodal information extraction, mention extraction, entity extraction, triple construction and dataset construction. Experiment results demonstrate the usability of the datasets and the distinguishability between baseline models.

WordNest🎯 是一个基于Flask的个性化英语单词学习系统，专为解决传统背单词软件的痛点而设计。它通过仅收录用户手动添加的生词，告别海量词库的无效重复学习；调用大模型实现AI智能例句生成与记忆技巧辅助，并构建词汇知识图谱，以可视化关联提升记忆效率。