esinecan/simple-good-llm-memory-mcp-server
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This document provides a comprehensive guide to setting up and using a Model Context Protocol (MCP) server with dual storage architecture for semantic search and knowledge graph management.
Tools
Functions exposed to the LLM to take actions
save_memory
Store information with tags and context.
search_memories
Search memories using semantic and keyword filters.
search_memories_by_time_range
Perform temporal queries on memories.
update_memory
Modify existing memories.
delete_memory
Remove memories with automatic graph cleanup.
get_memory_tags
List all memory tags.
get_related_memories
Find semantically similar memories.
get_memory_stats
Retrieve analytics and tag distribution.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client