# codebase analysis

Turn GitHub repositories into interactive architecture maps

Visual architecture generator that transforms any GitHub repository into an interactive system design map within seconds. Analyzes repository structures and README documentation to produce validated component flowcharts, dependency graphs, and Mermaid diagrams. Supports direct URL routing by replacing hub with diagram, provides instant export to SVG and PNG formats, and handles private repositories through user-supplied personal access tokens.

Codebase knowledge graph MCP server for AI coding agents

Codebase Memory MCP is an MIT-licensed MCP server that turns a repository into a persistent code knowledge graph for AI coding agents. It gives Claude Code, Cursor, Codex-style agents, and other MCP clients structural queries for functions, classes, call chains, routes, and architecture, helping them explore large projects without repeatedly rereading files or relying only on broad search.

Turn code and docs into a queryable knowledge graph

Graphify is an open-source AI coding assistant skill that transforms folders of code, documentation, research papers, and images into queryable knowledge graphs. It works as a skill for Claude Code, Codex, OpenCode, and other AI coding assistants. Using tree-sitter AST parsing for 19 programming languages and Claude vision for documents and images, it builds NetworkX graphs with Leiden community detection, outputting interactive HTML visualizations and structured JSON for codebase exploration.

Turn code repositories into source-grounded wikis and docs

Desktop workspace that transforms local and remote git repositories into source-grounded wikis, architecture documents, and interactive Ask sessions. Integrates directly with existing CLI agents including Grok CLI, Claude Code, and Codex without requiring proprietary cloud infrastructure. Generates verifiable file citations, Mermaid diagrams, and Obsidian-compatible exports while ensuring private codebase data remains strictly on the local machine.

Build codebase context graphs and AI agents for engineering

Engineering context graph and agent platform that parses codebases into living knowledge graphs for automated SDLC tasks. Connects to repositories, issue trackers, and team communications to empower AI agents with deep architecture understanding for debugging, PR generation, and system design. Offers an open-source core with full IDE extensions, CLI integrations, and enterprise on-premises deployment options.