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mempalacemempalace 搜索

Agent Skill

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。

总安装

27,431

周安装

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GitHub Stars

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下载量

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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: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

简介

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。

SKILL.md

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.

适合场景

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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

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按下载量换算6,973

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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

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