Repository History
6 repositories tagged with Knowledge Graph
Understand-Anything: Interactive Knowledge Graphs for Codebases
Understand-Anything is an innovative open-source project that transforms any codebase or knowledge base into an interactive knowledge graph. It allows developers to visually explore, search, and query their projects, making complex systems easier to comprehend. This tool integrates seamlessly with popular AI coding platforms like Claude Code, Codex, and Copilot.
GitNexus: The Zero-Server Code Intelligence Engine for Code Exploration
GitNexus is a powerful client-side knowledge graph creator that operates entirely in your browser or locally via CLI. It transforms GitHub repositories or ZIP files into interactive knowledge graphs, complete with a built-in Graph RAG Agent. This innovative engine is perfect for deep code exploration and enhancing AI agent reliability without needing any server infrastructure.
CodeGraph: Supercharge AI Coding Agents with Semantic Code Intelligence
CodeGraph is a powerful, pre-indexed code knowledge graph designed to enhance AI coding agents like Claude Code, Cursor, and Codex. It significantly reduces token usage and tool calls, offering a faster and more cost-effective way for agents to understand codebases. This 100% local solution provides semantic code intelligence, improving agent efficiency and accuracy.
RAG-Anything: The All-in-One Multimodal RAG Framework
RAG-Anything is a comprehensive, all-in-one Retrieval-Augmented Generation (RAG) framework designed to process and query diverse multimodal content. It seamlessly handles text, images, tables, and equations within a single integrated system, eliminating the need for multiple specialized tools. Built on LightRAG, this framework offers advanced multimodal retrieval capabilities for complex documents.
Airweave: Context Retrieval for AI Agents Across Apps and Databases
Airweave is an open-source context retrieval layer designed for AI agents, enabling them to access information across various applications and databases. It transforms diverse content into searchable knowledge bases, offering a standardized interface for agents to perform semantic, hybrid, and recency-biased searches. The platform simplifies data synchronization, entity extraction, and serves as a robust foundation for building intelligent AI applications.
CORE: A Unified Memory System for Your AI Applications
CORE by RedPlanetHQ is an open-source project designed to provide a persistent, unified memory layer for AI applications. It leverages a temporal knowledge graph to prevent context loss across various AI tools, ensuring LLMs retain past conversations, preferences, and project history. This system significantly enhances AI interactions by making context available across different sessions and platforms.