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Memory Tracker

byakaiserg
0
Data Science & ML
API Development
Productivity & Workflow

Provides persistent memory capabilities for AI assistants using OpenAI's vector stores, enabling them to save and search through memories across conversations.

About

Empower AI assistants with long-term memory using this Model Context Protocol (MCP) server. It leverages OpenAI's advanced vector store technology to allow AI agents to store and semantically retrieve text-based memories across different conversations. This enables more intelligent and context-aware interactions by providing a persistent knowledge base for the AI, automatically managing the OpenAI vector store and facilitating semantic search.

Key Features

  • 0 GitHub stars
  • Automatically manages OpenAI vector store creation and updates
  • Save text-based memories to OpenAI vector stores
  • Perform semantic searches through saved memories using natural language queries
  • Utilize OpenAI's cloud infrastructure for persistent memory storage
  • Compatible with any Model Context Protocol (MCP) client

Use Cases

  • Enhancing AI assistant capabilities with long-term, retrievable memory
  • Allowing AI agents to recall past interactions and information across sessions
  • Integrating persistent memory features into MCP-compatible AI clients like Claude Desktop
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