Retrieve statistical information about short-term memories to monitor memory usage patterns and analyze conversation data for memory management optimization.
Retrieve and display all available memory libraries with metadata including library names, node counts, and modification dates for organized information access.
Store project information in a memory slot for future tasks by specifying a meaningful memory name and content in Markdown format, using Serena's MCP server.
A Model Context Protocol server that provides knowledge graph-based persistent memory for LLMs, allowing them to store, retrieve, and reason about information across multiple conversations and sessions.
Enables Claude to maintain persistent memory across conversations using a local knowledge graph with fuzzy search capabilities, allowing it to remember and recall information about users, relationships, and context.