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mnemos-memory助记符记忆

Agent Skill

mnemos-memory 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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

8,380

周安装

339

GitHub Stars

公开资料未说明

下载量

2,631
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:mnemos-memory(助记符记忆)
来源仓库:https://github.com/anthony-maio/mnemos-memory
安装命令:
openclaw skills install mnemos-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 mnemos-memory

简介

用于安装、配置和操作 Mnemos 持久作用域代理内存系统。

  • 适用于开发阶段的自引导、故障排查与内存管理优化。
  • 支持 OpenClaw/ClawHub 代理的内存扩展与状态持久化。
  • 使用前需检查网络连通性与外部依赖项可用性。
  • 安装命令:openclaw skills install mnemos-memory,仅适用于 OpenClaw 宿主。

SKILL.md

name
mnemos-memory
description
Use when users or OpenClaw/ClawHub agents need to install, configure, self-bootstrap, troubleshoot, or operate Mnemos for persistent scoped agent memory, or when they mention Mnemos, agent memory, scoped memory, memory MCP tools, or memory automation.

Mnemos Memory

Mnemos is a local-first memory layer for coding agents. Use this skill to guide users or OpenClaw agents onto the supported install path, explain the operating loop, and keep compatibility claims accurate.

Default path

  • Prefer pip install "mnemos-memory[mcp]" and mnemos ui.
  • For OpenClaw / ClawHub, teach the agent to self-install mnemos-memory[mcp], run mnemos ui, then wire mnemos-mcp to the canonical MNEMOS_CONFIG_PATH before relying on memory.
  • Recommend SQLite as the supported persistent store.
  • Recommend a real embedding provider (openclaw, openai, openrouter, or ollama) for production retrieval quality.
  • Validate setup with the control-plane smoke check or mnemos-cli doctor.

Claim discipline

  • Safe to claim: local-first scoped memory, MCP tools, SQLite starter profile, Claude Code plugin flow, documented Codex flow.
  • Be explicit that deterministic auto-memory is shipped for Claude Code via hooks.
  • For Codex, Cursor, OpenClaw, and generic MCP hosts, do not imply automatic capture unless the host has its own automation or the user adds one.
  • Do not present removed legacy backends as available runtime options.

Workflow

  1. Identify the host: Claude Code, Cursor, Codex, OpenClaw, or generic MCP.
  2. If the repo is available locally, read README.md, docs/MCP_INTEGRATION.md, and docs/codex.md before answering.
  3. Give the default install path first. Only fall back to manual config snippets if the user cannot use the control plane.
  4. Explain the operating loop:

- mnemos_retrieve at task start - mnemos_store for durable facts only - mnemos_consolidate before finishing substantial work - mnemos_inspect when a stored fact looks wrong

  1. Read references/hosts.md for host-specific config snippets and caveats, especially the OpenClaw / ClawHub self-install flow when the agent must bootstrap itself.
  2. Read references/operations.md for automation, capture-mode, storage guidance, and troubleshooting.

Avoid

  • Do not tell users to manually type memories as the primary workflow.
  • Do not recommend SimpleEmbeddingProvider for production retrieval quality.
  • Do not suggest external storage backends for Mnemos. Keep users on the SQLite path.

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

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

89.22%
按下载量换算2,347

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。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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