Enables AI tools to deeply understand software repositories by scanning, parsing, and building a dependency graph.
Sponsored
Codebase provides an agent-capable server designed to give AI tools a profound understanding of software repositories. It achieves this by scanning local codebases, parsing source files, constructing a comprehensive dependency graph, and exposing this rich information through a robust agentic tool system. This system includes metadata, dynamic discovery, and keyword-based routing, making it easy for AI agents to query and interact with the codebase's structure, content, and underlying logic. Analysis results are persistently cached, ensuring efficient re-analysis and allowing AI tools to quickly grasp the architecture, patterns, and relevant files within any project.
Características Principales
010 GitHub stars
02Agentic tool system with rich metadata for dynamic discovery and keyword routing
03Persistent memory for analysis results, updating only changed files
04AST analysis extracting classes, functions, variables, imports, and docstrings
05Heuristic pattern detection for frameworks, build systems, and structural patterns
06Dependency-aware file suggestions to enrich search results
Casos de Uso
01Assisting AI models in planning and executing development tasks by suggesting relevant files and code references.
02Providing AI agents with deep, structured understanding of a software repository's architecture and content.
03Integrating with AI developer environments (e.g., Claude Desktop, Cursor) to enhance code navigation and analysis capabilities.
