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MemorySync
Persistent memory infrastructure for AI coding assistants
MemorySync is a persistent, multi-tenant memory infrastructure layer designed for AI coding assistants, autonomous agents, and multi-turn LLM workflows. Built on the Model Context Protocol (MCP), MemorySync eliminates context drift and reduces LLM token consumption by up to 70% by dynamically recalling relevant architectural decisions and preferences in under 50ms.
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What does MemorySync help with?
MemorySync provides a remote, production-ready MCP server connecting with Cursor IDE, Claude Desktop, LangGraph, and LlamaIndex. Instead of dumping raw chat histories into expensive context windows, MemorySync uses hybrid BM25 + vector search with strict cryptographic isolation to retrieve pinpoint context when agents need it.
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