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Why this server?
Memorizes key aspects of a codebase and allows dynamic updates and fast retrieval of information, relating to memory.
Why this server?
Enables users to store, manage, and summarize notes using a custom URI scheme, providing memory-related functionality.
Why this server?
Builds a persistent semantic graph from conversations with AI assistants, acting as a memory system.
Why this server?
Provides memory management capabilities within Cursor IDE, allowing AI assistants to remember and recall information.
Why this server?
Enables AI models to create collections over generated data and user inputs and retrieve that data using vector search providing data retrieval capabilities.
Why this server?
A scalable, high-performance knowledge graph memory system with semantic search, temporal awareness, and advanced relation management.
Why this server?
Provides knowledge graph functionality for managing entities, relations, and observations in memory.
Why this server?
Transforms daily notes into organized, searchable knowledge using the Model Context Protocol.
Why this server?
A basic implementation of persistent memory using a local knowledge graph.
Why this server?
Analyzes codebases and provides file summaries to help understand code structure.