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securityA
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qualityA basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.
Last updated -
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Python
MIT License
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Why this server?
Provides persistent memory using a local knowledge graph, allowing Claude to remember information across chats.
Why this server?
Provides persistent memory using a local knowledge graph, allowing Claude to remember information across chats.
Why this server?
This MCP server provides persistent memory integration for chat applications by utilizing a local knowledge graph to remember user information across interactions.
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?
Enables semantic analysis of chat conversations through vector embeddings and knowledge graphs, offering tools for semantic search, concept extraction, and conversation pattern analysis.
Why this server?
Enhances user interaction through a persistent memory system that remembers information across chats and learns from past errors by utilizing a local knowledge graph and lesson management.
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?
Enables seamless AI integration via Ollama's Deepseek model, providing protocol compliance and automatic configuration for clean AI-driven interactions.
Why this server?
Provides code generation and completion capabilities using the DeepSeek API, with support for tool chaining and cost optimization.