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qualityThis server enables users to store, manage, and summarize notes using a custom URI scheme, with functionality to add new notes and generate summaries with varying levels of detail.
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Why this server?
This server enables users to store, manage, and summarize notes using a custom URI scheme, with functionality to add new notes and generate summaries, thus related to memory.
Why this server?
A Claude-compatible MCP server that enables storing and summarizing notes through a simple note storage system with custom URI scheme, relating to memory.
Why this server?
Efficiently memorizes key aspects of a codebase—logic, style, and standards—while allowing dynamic updates and fast retrieval.
Why this server?
Provides a set of tools and resources for AI assistants to interact with Memory Banks which helps maintain context and track progress across multiple sessions.
Why this server?
Provides knowledge graph functionality for managing entities, relations, and observations in memory with strict validation rules to maintain data consistency.
Why this server?
A comprehensive memory management system for Cursor IDE that allows AI assistants to remember, recall, and manage information across conversations.
Why this server?
A bridge between the Context Broker and other services, implementing basic operations for entity publishing, updating, and querying in FIWARE environments, relevant for storing project information.
Why this server?
Enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities, which is helpful for managing and accessing code-related context.
Why this server?
FEGIS is a Model Context Protocol server that gives LLMs structured, persistent and portable memory through customizable cognitive tools defined in schema.
Why this server?
A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.