AI Agent Skills

把项目记录组织成可离线浏览的实体关系图，保留来源路径以便追溯信息依据。

Build and maintain the project's knowledge graph — a tiered set of nodes under docs/graph/ that lets an agent load only the few facts a task needs instead of the whole c…

Neo4j graph construction from unstructured data using LLMs

high-performance graph database for real-time use cases

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"

Build your personal knowledge base with Trilium Notes

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

A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interli…

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 (…

A modular graph-based Retrieval-Augmented Generation (RAG) system

Build Real-Time Knowledge Graphs for AI Agents

A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.

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.

Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.

Beautiful, AI-native markdown editor and LLM Wiki