How I Cut My AI Coding Agent's Token Usage by 120x With a Code Knowledge Graph

AI coding agents are powerful - but they're also blind. Every time Claude Code, Codex, or Gemini CLI needs to understand your codebase, they explore it file by file. Grep here, read there, grep again. For a simple question like "what calls ProcessOrder?", an agent might burn through 45,000 tokens just opening files and scanning for matches. I built codebase-memory-mcp to fix this. It parses your codebase into a persistent knowledge graph - functions, classes, call chains, imports, HTTP routes - and exposes it through 14 MCP tools.