Token导航 LogoToken导航TokenDH.com
研究检索执行命令clawhub未标认证来源可访问clear审计提醒

mnemo-cortex记忆皮层

Agent Skill

mnemo-cortex 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

832

周安装

35

GitHub Stars

公开资料未说明

下载量

291
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:mnemo-cortex(记忆皮层)
来源仓库:https://github.com/guymanndude/mnemo-cortex
安装命令:
openclaw skills install mnemo-cortex
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 mnemo-cortex

简介

将 Mnemo Cortex(本地优先持久内存)安装并连接到 OpenClaw 和其他支持 MCP 的代理中。用于跨会话回忆、决策历史记录等

SKILL.md

name
mnemo-cortex
description
Installs and wires Mnemo Cortex (local-first persistent memory) into OpenClaw and other MCP-capable agents. Use for cross-session recall, decision history, or multi-agent shared memory.
version
0.1.0
metadata
openclaw
requires
bins
homepage
https://github.com/GuyMannDude/mnemo-cortex
emoji
🧠

Mnemo Cortex

Set up Mnemo Cortex — local-first persistent memory — so the agent can save, recall, and search across sessions.

When to Use

  • The agent needs memory that survives session restarts (decisions, fixes, ruled-out approaches)
  • Multiple agents on the same machine should share or query each other's memories
  • The user wants memory that runs locally with no recurring cost
  • The user already has Mnemo Cortex running and wants to wire this agent to it

When Not to Use

  • The user only needs in-session context (the model's context window is enough)
  • The user is committed to a hosted memory service (Mem0, supermemory) and doesn't want a local server
  • The user wants vector embeddings only — Mnemo's value is the *combination* of FTS5 + embeddings + brain files; pure embedding workflows have lower friction with Mem0 or supermemory

Workflow

  1. Ask the user whether Mnemo Cortex is already running. If unsure, run curl http://localhost:50001/health to check.
  2. Ask the user which host the agent is running in (Claude Code, Claude Desktop, OpenClaw, LM Studio, AnythingLLM, Agent Zero, Ollama Desktop). The integration path differs by host.
  3. Pick a path below.
  4. Verify with a save + recall round-trip in a fresh session.
  5. (Recommended) Set up a brain repo using the mnemo-plan template so the agent has project state to read at session start.
  6. Tell the user about THE-LANE-PROTOCOL.md — the six-step session ritual that turns Mnemo from a tool you have into a tool you use every session.

Path 1: No server running yet

git clone https://github.com/GuyMannDude/mnemo-cortex.git
cd mnemo-cortex
python -m venv .venv
source .venv/bin/activate           # Windows: .venv\Scripts\activate
pip install -e .

mnemo-cortex init                   # interactive wizard: pick model providers
mnemo-cortex start                  # listens on http://localhost:50001
mnemo-cortex health                 # verify

Then continue with Path 2.

Path 2: Server already running, connect this agent

Pick the host's integration guide and follow it:

HostIntegration
Claude Codeintegrations/claude-code/ — hooks or sync service
Claude Desktopintegrations/claude-desktop/ — drag-and-drop .mcpb bundle
OpenClawintegrations/openclaw-mcp/ — one-line openclaw mcp set config
LM Studiointegrations/lmstudio/mcp.json + restart
AnythingLLMintegrations/anythingllm/ — MCP plugin config + Automatic mode
Agent Zerointegrations/agent-zero/ — in-container Docker setup
Ollama Desktopintegrations/ollama-desktop/ollama launch openclaw from terminal

Each integration registers the same MCP tools: mnemo_save, mnemo_recall, mnemo_search, mnemo_share, plus 5 Developer's Passport tools by default.

Verify

In a fresh session of the host:

Use mnemo_save to remember that I tested the install today.

Then in a *separate* session:

Use mnemo_recall to find what I told you to remember.

If the recall surfaces what you saved, the chain is wired. If the model agrees but no tool fires (no tool-call indicator in the chat), the model probably doesn't support tool calling — switch to a tool-capable model (Qwen3 any size, GPT-4/4o, Claude 3.5+, Mistral 7B v0.3).

Common Failures

  • "Mnemo Cortex unreachable" — server isn't running or MNEMO_URL is wrong. Check with curl http://localhost:50001/health.
  • Model narrates a fake save ID without invoking the tool — model isn't tool-capable. Switch models. See each integration's "Gotchas" section.
  • Memory saved but not recallable — usually a different MNEMO_AGENT_ID between save and recall. Same agent_id reads its own memories by default; cross-agent search requires mnemo_share toggled on.

After Setup

Read THE-LANE-PROTOCOL.md (~5 min). The install is the easy part — the protocol is what makes Mnemo pay off in practice.

References

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

91.4%
按下载量换算266

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install mnemo-cortex 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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

继续浏览同类 Skills