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Agent Skill · 研究检索

mempalace(mempalace 搜索)

mempalace 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。

mempalace 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为调用外部服务;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 5,168。

总安装 27,431周安装 1,099GitHub Stars 3下载 8,880核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.4.0

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:mempalace(mempalace 搜索)
来源仓库:https://github.com/wanikua/mempalace
安装命令:
openclaw skills install mempalace
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 mempalace

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

mempalace 提供高达 96.6% 召回率的本地 AI 记忆系统,支持语义宫殿架构。适用于深度对话分析与长期知识图谱构建场景。通过翼楼房间模型组织记忆,支持多维检索与可视化导航。安装命令:openclaw skills install mempalace,需确认是否占用大量磁盘空间。建议定期压缩旧数据以维持性能。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install mempalace;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

mempalace 怎么安装?

在终端执行 openclaw skills install mempalace。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

mempalace 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

mempalace 需要什么权限?

权限级别是调用外部服务。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。

mempalace 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

mempalace 用的人多吗?

公开数据是累计安装 27,431 次,近一周安装 1,099 次,下载 8,880 次,GitHub 3 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

mempalace 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
mempalace

mempalace 搜索 · 本页

27,4313调用外部服务MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
mempalace
description
MemPalace — Local AI memory with 96.6% recall. Semantic search over past conversations, knowledge graph with temporal facts, palace architecture (wings/rooms/drawers). Free, no cloud, no API keys. Highest LongMemEval score ever published.
version
1.4.0
homepage
https://github.com/milla-jovovich/mempalace
user-invocable
true
metadata
openclaw
emoji
🏛️
requires
anyBins
install
kind
uv
label
Install MemPalace (Python, local ChromaDB)
package
mempalace
bins

MemPalace — Local AI Memory System

You have access to a local memory palace via MCP tools. The palace stores verbatim conversation history and a temporal knowledge graph — all on the user's machine, zero cloud, zero API calls.

Architecture

  • Wings = people or projects (e.g. wing_alice, wing_myproject)
  • Halls = categories (facts, events, preferences, advice)
  • Rooms = specific topics (e.g. chromadb-setup, riley-school)
  • Drawers = individual memory chunks (verbatim text)
  • Knowledge Graph = entity-relationship facts with time validity

Protocol — FOLLOW THIS EVERY SESSION

  1. ON WAKE-UP: Call mempalace_status to load palace overview.
  2. BEFORE RESPONDING about any person, project, or past event: call mempalace_search or mempalace_kg_query FIRST. Never guess from memory — verify from the palace.
  3. IF UNSURE about a fact (name, age, relationship, preference): say "let me check" and query. Wrong is worse than slow.
  4. AFTER EACH SESSION: Call mempalace_diary_write to record what happened, what you learned, what matters.
  5. WHEN FACTS CHANGE: Call mempalace_kg_invalidate on the old fact, then mempalace_kg_add for the new one.

Available Tools

Search & Browse

  • mempalace_search — Semantic search across all memories. Always start here.

- query (required): natural language search - wing: filter by wing - room: filter by room - limit: max results (default 5)

  • mempalace_status — Palace overview: total drawers, wings, rooms
  • mempalace_list_wings — All wings with drawer counts
  • mempalace_list_rooms — Rooms within a wing
  • mempalace_get_taxonomy — Full wing/room/count tree

Knowledge Graph (Temporal Facts)

  • mempalace_kg_query — Query entity relationships. Supports time filtering.

- entity (required): e.g. "Max", "MyProject" - as_of: date filter (YYYY-MM-DD) — what was true at that time - direction: "outgoing", "incoming", or "both"

  • mempalace_kg_add — Add a fact: subject -> predicate -> object

- subject, predicate, object (required) - valid_from: when this became true

  • mempalace_kg_invalidate — Mark a fact as no longer true

- subject, predicate, object (required) - ended: when it stopped being true (default: today)

  • mempalace_kg_timeline — Chronological story of an entity
  • mempalace_kg_stats — Graph overview: entities, triples, relationship types

Palace Graph (Cross-Domain Connections)

  • mempalace_traverse — Walk from a room, find connected ideas across wings

- start_room (required): room to start from - max_hops: connection depth (default 2)

  • mempalace_find_tunnels — Rooms that bridge two wings
  • mempalace_graph_stats — Graph connectivity overview

Write

  • mempalace_add_drawer — Store verbatim content into a wing/room

- wing, room, content (required) - Checks for duplicates automatically

  • mempalace_delete_drawer — Remove a drawer by ID
  • mempalace_diary_write — Write a session diary entry

- agent_name (required): your name - entry (required): what happened, what you learned - topic: category tag

  • mempalace_diary_read — Read recent diary entries

Setup

The user needs to initialize and populate the palace first:

pip install mempalace
mempalace init ~/my-convos
mempalace mine ~/my-convos

Then connect via MCP (for Claude Code, Cursor, etc.):

claude mcp add mempalace -- python -m mempalace.mcp_server

For OpenClaw, add to your MCP config:

{
  "mcpServers": {
    "mempalace": {
      "command": "python3",
      "args": ["-m", "mempalace.mcp_server"]
    }
  }
}

Tips

  • Search is semantic (meaning-based), not keyword. "What did we discuss about database performance?" works better than "database".
  • The knowledge graph stores typed relationships with time windows. Use it for facts about people and projects — it knows WHEN things were true.
  • Diary entries accumulate across sessions. Write one at the end of each conversation to build continuity.
  • Wings auto-detect from directory names during mining. You can also create custom wings via mempalace_add_drawer.

License & Attribution

This skill is an integration for MemPalace, created by Ben Sigman (@bensig), Igor Lins e Silva (@igorls), Milla Jovovich (@milla-jovovich), and adv3nt3 (@adv3nt3), licensed under the MIT License.

MIT License

Copyright (c) 2026 MemPalace Contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

平台分布

OpenClaw

78.52%
按下载量换算6,973

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

调用外部服务

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。目前只有一个公开来源,建议同时核对源仓库。

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