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Meshmorize

这是为LLM智能体打造的多层记忆系统,核心功能含每日新鲜层(5天轮换)、图谱索引、自动交互日志、跨层全量搜索、10项合规检查。适配所有支持Python的智能体,典型场景为智能体记忆管理、交互溯源与合规校验,通过命令行工具操作,将脚本放入工作区配置路径即可使用。

mozz0
mozz0
热度 24.29
最近更新 2026-06-07 00:10:28
分类:开发依赖:代码执行 / 读写文件应用场景:自动化脚本 / 数据处理 / 笔记整理 / 报告撰写

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add meshmorize
Metadata
name
MeshMorize
description
🧠 Multi-layer memory system: fresh layer, mesh graph, auto-log, cross-layer search, compliance check

MeshMorize 🧠

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


Made by mozz0 · Released under MIT