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mamp-memory映射内存

Agent Skill

mamp-memory 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,175

周安装

135

GitHub Stars

1

下载量

1,112
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mamp-memory(映射内存)
来源仓库:https://github.com/rokkiezeng/mamp-memory
安装命令:
openclaw skills install mamp-memory
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install mamp-memory

简介

Mark AI 内存协议 — 用于 AI 代理的持久、可搜索会话内存。仅 SQLite,零外部依赖。

SKILL.md

name
mamp-memory
description
Mark AI Memory Protocol — persistent, searchable session memory for AI agents. SQLite-only, zero external dependencies.
author
LeoTseng
version
1.2.1
license
MIT-0
security
credential_access
false # Local SQLite only, no external services or credentials
data_persistence
true # Writes to a local .db file on disk

MAMP — Mark AI Memory Protocol

Gives AI agents persistent, searchable memory using SQLite.

When to Use

  • User says "remember what I told you last time"
  • Agent needs to recall facts across conversations
  • User asks about past topics, preferences, or decisions
  • Context window is filling up and older info needs to be summarized

Core Concepts

  • Session — a conversation, has an ID, survives restarts
  • Turn — one message in a session (role: user/assistant)
  • Tag — labels for a turn, e.g. ["finance", "important"]
  • Priority — importance level: critical, normal, trivial

Key Methods

from importlib.util import spec_from_file_location, module_from_spec
spec = spec_from_file_location("mamp", "ai_memory_protocol_v1.2.0.py")
mod = module_from_spec(spec)
spec.loader.exec_module(mod)

# Manual mode — explicit add_turn() calls
sm = mod.SessionManager()
sm.start_conversation()
sm.add_turn("user", "I prefer dark mode")
sm.add_turn("assistant", "Noted")

# Auto mode (v1.1.8+) — auto-captures turns without manual add_turn()
sm = mod.SessionManager(auto_record=True)
sm.start_conversation()
# ... conversations are recorded automatically ...
sm.stop()  # flushes buffer and disables auto_record

# Heartbeat (v1.1.9+) — called externally every ~5 min via Hermes cron
# sm.heartbeat()  # flushes buffer + closes idle sessions (>30 min)

# Explicit db_path (recommended)
sm = mod.SessionManager(db_path="./memory.db", auto_record=True)

# Environment variable override:
# export MARK_MEMORY_DB=/path/to/memory.db

What It Solves

AI forgets everything each conversation. MAMP makes memory persistent, searchable, and structured — without any external service, API key, or dependency beyond SQLite.

Security Notes

Default behavior — local directory only:

  • DB file written to ./mark_memory.db in the current working directory
  • No system directories are touched
  • No log files, audit files, or hidden state files are written
  • No network access, no external services

Pass an explicit path to isolate data:

sm = mod.SessionManager(db_path="/your/specific/path/memory.db")

Environment variable override:

export MARK_MEMORY_DB=/your/specific/path/memory.db

This takes precedence over both the default and any db_path argument.

Permissions awareness:

  • The DB file contains your conversation history in plaintext
  • Ensure the directory has appropriate access controls
  • If multiple agents run on the same host with the same path, they share memory — use different paths per agent to isolate

No credentials stored:

MAMP uses no API keys, tokens, or secrets. It is a pure local SQLite store.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

85.08%
按下载量换算946

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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