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Why this server?
Provides persistent memory using a local knowledge graph, enabling Claude to remember user information across chats.
Why this server?
Based on the Knowledge Graph Memory Server, retaining its core functionality for persistent memory.
Why this server?
An improved implementation of persistent memory using a local knowledge graph with a customizable memory path.
Why this server?
Provides a semantic memory layer that integrates LLMs with OpenSearch, enabling storage and retrieval of memories.
Why this server?
Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.
Why this server?
This advanced memory server facilitates neural memory-based sequence learning and prediction, enhancing code generation and understanding through state maintenance and manifold optimization as inspired by Google Research's framework.
Why this server?
Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
Why this server?
A very simple vector store that provides capability to watch a list of directories, and automatically index all the markdown, html and text files in the directory to a vector store to enhance context.
Why this server?
A custom Memory MCP Server that acts as a cache for Infrastructure-as-Code information, allowing users to store, summarize, and manage notes with a custom URI scheme and simple resource handling.
Why this server?
Provides semantic memory and persistent storage for Claude, leveraging ChromaDB and sentence transformers for enhanced search and retrieval capabilities.