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Mnemex

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Mnemex is a Python MCP server that provides AI assistants with human-like memory dynamics through temporal decay and natural spaced repetition, storing memories locally in human-readable JSONL and Markdown formats.

Install
How to run this server
[ { "cmd": "pip install mnemex`", "imports": [] } ]
server path: mnemex
Tools
What this server exposes
save_memory
Save new memory with tags, entities (auto-enrichment in v0.6.0+)
search_memory
Search with filters and scoring (includes review candidates)
search_unified
Unified search across STM + LTM
touch_memory
Reinforce memory (boost strength)
observe_memory_usage
Record memory usage for natural spaced repetition
analyze_message
✨ NEW v0.6.0 - Detect memory-worthy content, suggest entities/strength
analyze_for_recall
✨ NEW v0.6.0 - Detect recall intent, suggest search queries
gc
Garbage collect low-scoring memories
promote_memory
Move to long-term storage
cluster_memories
Find similar memories
consolidate_memories
Merge similar memories (algorithmic)
read_graph
Get entire knowledge graph
open_memories
Retrieve specific memories
create_relation
Link memories explicitly
Configuration
Environment & auth
authnone
Resources
Mnemex — MCP Server · libregistry