Beyond RAG: Solving AI Agent Context Bloat with Semantic Memory

As codebases scale, AI agents like Claude Code face performance degradation due to document-heavy context tax. By building a custom MCP-based semantic memory, developers can bypass traditional RAG limitations and provide LLMs with precise, fact-level knowledge for faster and more accurate coding.