๐บ๐ธ Offers a memory system that uses a knowledge graph and PouchDB to store and retrieve relationships between entities and observations. This allows for a consistent conversational context throughout different interactions.
๐ฐ๐ท ์ํฐํฐ ๊ด๊ณ ๋ฐ ๊ด์ฐฐ ๋ด์ฉ์ ์ ์ฅํ๊ณ ๊ฒ์ํ ์ ์๋ ์ง์ ๊ทธ๋ํ ๊ธฐ๋ฐ ๋ฉ๋ชจ๋ฆฌ ์์คํ
์ PouchDB๋ฅผ ์ฌ์ฉํ์ฌ ์ ๊ณตํฉ๋๋ค. ์ด๋ฅผ ํตํด ๋ํ ๊ณผ์ ์์ ์ง์์ ์ธ ๋งฅ๋ฝ์ ์ ์งํ ์ ์์ต๋๋ค.
๐ฏ๐ต ใPouchDBใไฝฟ็จใใฆใจใณใใฃใใฃใฎ้ขไฟใ่ฆณๅฏ็ตๆใไฟๅญใปๅๅพใใ็ฅ่ญใฐใฉใใใผในใฎใกใขใชใทในใใ ใๆไพใใพใใใใใซใใใๅฏพ่ฉฑใ้ใใฆๆ็ถ็ใชไผ่ฉฑใฎๆ่ใๅฎ็พใใพใใใ
๐จ๐ณ ๆไพๅบไบ็ฅ่ฏๅพ่ฐฑ็่ฎฐๅฟ็ณป็ป๏ผไฝฟ็จPouchDBๅญๅจๅๆฃ็ดขๅฎไฝๅ
ณ็ณปๅ่งๅฏ๏ผไป่ๅจไบๅจไธญๅฎ็ฐๆไน
็ๅฏน่ฏไธไธๆใ
Description
MCP Memory PouchDB provides a knowledge graph-based memory system for AI assistants to store and retrieve information about entities, their relationships, and observations. Built by bneil, it uses PouchDB with a memory adapter for primary storage and maintains a JSON file backup, offering tools for creating, reading, updating, and deleting graph elements through a comprehensive API. The implementation includes robust error handling with retry mechanisms, supports both in-memory and file-based persistence, and is particularly valuable for maintaining conversational context across interactions, enabling assistants to remember user preferences, relationships, and historical information.