Long-Term Memory

Example Use Cases

• 1

  Persistent memory across conversations to improve contextual understanding.

• 2

  Automatic retrieval and saving of relevant memories without manual prompts.

• 3

  Advanced memory management using semantic search, knowledge graphs, and reinforcement learning.

Description

Long-Term Memory is an MCP server that enhances AI assistants like Claude by providing persistent memory through semantic search, knowledge graphs, and reinforcement learning. It automatically logs conversations, extracts relevant memories, and maintains them with advanced policies to improve recall and reasoning. Features include auto-retrieval, multi-resolution text composition, graph-based reasoning, and live visualization, enabling AI to remember and utilize past interactions effectively.