Repository History

4 repositories tagged with knowledge-graph

Topic: knowledge-graph
Codebase-Memory-MCP: High-Performance Code Intelligence for AI Agents

Codebase-Memory-MCP: High-Performance Code Intelligence for AI Agents

Codebase-Memory-MCP is an exceptionally fast and efficient code intelligence engine tailored for AI coding agents. It transforms your codebase into a persistent knowledge graph, indexing an average repository in milliseconds and supporting 158 languages. This tool significantly reduces token usage and integrates seamlessly with various agents as a single, dependency-free binary.

Analyzed Jun 20, 2026
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Graphify: Transform Your Codebase into a Queryable Knowledge Graph

Graphify: Transform Your Codebase into a Queryable Knowledge Graph

Graphify is an innovative AI coding assistant skill that converts any codebase, documentation, and even multimedia files into a queryable knowledge graph. This powerful tool allows developers to navigate complex projects by querying relationships between components, rather than manually searching through files. It integrates seamlessly with popular AI assistants, providing deep insights and streamlining development workflows.

Analyzed May 19, 2026
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Memary: The Open Source Memory Layer for Autonomous Agents

Memary: The Open Source Memory Layer for Autonomous Agents

Memary is an innovative open-source memory layer designed to enhance autonomous agents by emulating human memory. It integrates knowledge graphs and memory modules to provide agents with advanced capabilities for reasoning and learning. This project aims to make agents more intelligent and capable of self-improvement.

Analyzed Dec 28, 2025
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KAG: Knowledge Augmented Generation for LLM Reasoning in Professional Domains

KAG: Knowledge Augmented Generation for LLM Reasoning in Professional Domains

KAG is a powerful logical form-guided reasoning and retrieval framework built upon the OpenSPG engine and Large Language Models. It is specifically designed to create robust logical reasoning and factual Q&A solutions for specialized domain knowledge bases. This framework effectively overcomes the limitations of traditional RAG vector similarity calculation models and the noise often introduced by GraphRAG approaches.

Analyzed Nov 27, 2025
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