Codebase-Memory-MCP: Speeds AI Coding Agent Queries

The open source project codebase-memory-mcp is speeding up AI coding agent queries. It indexes a codebase into a SQLite-backed knowledge graph, letting agents query structure instead of re-reading files. Here's the thing: This tool ships as a single static C binary with zero runtime dependencies. It supports 158 languages and persists a cache. What's interesting is the performance. Benchmarks claim sub-millisecond queries and indexing the Linux kernel in just 3 minutes. It also shows large token reductions compared to exploring files one by one. One test even reported a 99.2% token reduction. The bottom line: For engineers using AI coding assistants, this can significantly lower token usage, reduce latency, and improve reliability for structural queries across many files.