About
Arbor revolutionizes AI-assisted code intelligence by moving beyond traditional embedding-based RAG systems. Instead of treating code as a 'bag of text,' Arbor constructs a detailed, graph-native representation of your entire codebase, mapping functions, classes, and dependencies as nodes and edges. This deterministic program understanding enables AI agents, via the Model Context Protocol (MCP), to navigate the actual call graph, discover logic flows, predict the impact of changes, and retrieve semantically relevant code context. It features incremental persistence, cross-file resolution, and a visualizer to make AI reasoning transparent and inspectable, ensuring precision and trust in large or complex projects.
