How does CodeMemoryPrime reduce AI token costs during agentic coding?

CodeMemoryPrime replaces massive 100k token context window dumps with RRF hybrid vector search (Cosine Similarity + FTS5 keyword indexing). It retrieves only relevant code snippets and AST parent context, cutting API token usage by up to 90%.

Can I use CodeMemoryPrime with Claude Desktop, Cursor, and Windsurf?

Yes, CodeMemoryPrime implements the open Model Context Protocol (MCP) standard and connects seamlessly over stdio to Claude Desktop, Cursor IDE, Windsurf, and Google Antigravity (AGY).

Does CodeMemoryPrime run 100% locally and privately?

Yes, CodeMemoryPrime runs entirely on your local machine using local LLM inference engines like Ollama or LM Studio. Zero code telemetry or external server tracking.

CodeMemoryPrime — Cut AI Agent Costs with Local Codebase Memory for Agentic Coding