NanoContext Codebase Navigator

Example Use Cases

• 1

  Efficient navigation and understanding of large codebases without repeatedly reading raw files.

• 2

  Semantic vector search and AI-generated insights to find relevant code snippets quickly.

• 3

  Persistent project memory and call graph exploration to maintain context across sessions.

Description

NanoContext parses your entire codebase into a detailed index of classes, methods, imports, and exports, enabling AI agents to perform instant semantic and exact searches without reading every file. It supports persistent project memory, call graph navigation, and real-time indexing with watch mode, improving agent efficiency and consistency on large projects. Optional AI-powered insights enhance search relevance by generating keyword summaries per method.