Meshmorize

🧠 Multi-layer memory system: fresh layer, mesh graph, auto-log, cross-layer search, compliance check

Multi-layer memory system for LLM agents. Fresh daily layer, mesh graph indexing, auto-logging, cross-layer search, and full compliance checks.

Built for OpenClaw. Works with any agent that can run Python.

Layers

Layer	File	Purpose
Fresh	memory/fresh/today.md	Daily notes, 5-day rotation
Mesh	memory/mesh.json	Graph nodes + search index
Log	scripts/auto_log	Auto-log every interaction
Search	scripts/memory_search	Cross-layer search (fresh → daily → mesh → raw → long-term)
Check	scripts/memory_check	10-point compliance check (memcheck)

Quick start

mem-bridge init          # Rotate fresh layer, create today.md
auto_log "msg" "reply"   # Log an interaction
memory_search "query"    # Search all memory layers
memcheck                 # Full 10-point compliance check

Tools

Tool	Source
mem-bridge	memory/bridge.py — fresh-layer rotation + checkpoint management
auto_log	scripts/auto_log.py — interaction logger
memory_search	scripts/memory_search.py — multi-layer search across all memory stores
memcheck	scripts/memory_check.py — 10-point compliance check runner

Install

Put bridge.py in memory/ and scripts in scripts/ of your agent workspace. Symlink or add to PATH:

ln -s $(pwd)/scripts/* ~/.local/bin/
ln -s $(pwd)/memory/bridge.py ~/.local/bin/mem-bridge

On session start, run:

mem-bridge init

Source

https://github.com/mozz0/MeshMorize

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Made by mozz0 · Released under MIT