An MCP server that builds a semantic graph memory from a project directory, indexing documentation and code into graph structures and exposing 70+ MCP tools for search, knowledge management, task management, and more.
An MCP server that indexes codebases into a local knowledge graph, providing 52 AI tools for semantic search, call-graph traversal, git archaeology, and impact analysis to give AI agents deep understanding of code.
An advanced MCP server that provides deep code understanding and analysis using GraphRAG, AST parsing, and semantic memory, enabling AI agents to query and interact with complex codebases.
An MCP server that lets coding agents build and query a persistent knowledge graph of concepts, architecture, and decisions, enabling them to remember across sessions.
A universal MCP server providing persistent, structured memory through a knowledge graph with graph storage, semantic vector search, and multi-hop traversal for AI agents and IDEs.
An in-memory knowledge graph MCP server that gives coding agents structural and semantic recall over codebases by indexing Python source, ADR documents, and project configuration, exposing 7 tools for search, traversal, context retrieval, and natural-language Q&A.
