tree-sitter Tools

Graphify transforms any codebase—including its docs, SQL schemas, configs, and PDFs—into a deterministic, queryable knowledge graph. It solves the problem of fragmented, hard-to-navigate software knowledge by creating a single, persistent map of all code and documentation, enabling engineers to get evidence-backed answers and see the impact of changes instantly. It's built for developers and teams in regulated or complex environments who need auditable understanding and want to run the parsing engine fully on-device, without uploading code or relying on vector stores.

codebase-memory-mcp is an MCP server that indexes repositories into a persistent knowledge graph of functions, classes, and dependencies. It solves the problem of AI agents inefficiently reading files one-by-one, enabling structural queries with ~120x fewer tokens. It's for developers and teams using AI coding assistants like Claude Code who need fast, local, and deep codebase understanding.

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

Code Review Graph is a local-first code intelligence graph for MCP and CLI. It builds a persistent, semantic map of your codebase, enabling AI coding assistants to understand context and dependencies without reading every file. This dramatically reduces context overhead in code reviews and large-repository workflows, making AI tools faster and more accurate. It's built for developers and teams working in complex codebases who want to leverage AI assistance without the performance and cost penalties of massive context windows.