Codebase Memory MCP Cures the 412k Token Tax Dragging Down AI Agents
中文摘要
Codebase Memory MCP 通过确定性知识图谱取代向量 RAG，将代码遍历的 Token 消耗降低 99%，解决了 AI Agent 的上下文负担。
English Summary
Codebase Memory MCP uses deterministic knowledge graphs instead of Vector RAG, reducing token usage by 99% to solve the context tax for AI agents.
Original Excerpt
Vector RAG burns massive context on blind file searches — here is how deterministic knowledge graphs traverse codebases for 99% less. Continue reading on Medium »