simplemindedbot/mnemex
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Mnemex is a Model Context Protocol (MCP) server designed to provide human-like memory dynamics for AI assistants, simulating the natural process of memory fading and reinforcement.
Tools
Functions exposed to the LLM to take actions
save_memory
Save new memory with tags and entities.
search_memory
Search with filters and scoring.
search_unified
Unified search across STM and LTM.
touch_memory
Reinforce memory to boost strength.
gc
Garbage collect low-scoring memories.
promote_memory
Move memory to long-term storage.
cluster_memories
Find similar memories.
consolidate_memories
Merge duplicates using LLM-driven methods.
read_graph
Retrieve the entire knowledge graph.
open_memories
Retrieve specific memories.
create_relation
Link memories explicitly.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client