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shared-memory-stack共享内存栈

Agent Skill

shared-memory-stack 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。

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2,140

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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:shared-memory-stack(共享内存栈)
来源仓库:https://github.com/nerua1/shared-memory-stack
安装命令:
openclaw skills install shared-memory-stack
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 shared-memory-stack

简介

Shared-memory-stack 连接 ObsidianVault 与 MemPalace,构建完整共享内存架构。

  • 适用于 Claude Code、OpenClaw/Kimi 和 LM Studio 子代理集成。
  • 通过 clawhub 安装,安装命令为 openclaw skills install shared-memory-stack。
  • 需确保各组件间协议兼容性和数据格式统一。
  • 建议参考原始文档配置 Vault 路径和记忆同步策略。

SKILL.md

name
shared-memory-stack
description
>
version
1.0.0
author
nerua1
license
MIT
compatible-with
claude-code, openclaw
tags
[memory, obsidian, mempalace, rag, inter-agent, capture, shared-memory]

shared-memory-stack

Shared memory architecture for a multi-agent system: Claude Code + OpenClaw/Kimi + LM Studio. No idea gets lost. All agents read and write the same memory.

Architecture overview

┌─────────────────────────────────────────────────────┐
│                    SHARED MEMORY                     │
│                                                      │
│  Obsidian vault (structural)                         │
│  /Volumes/2TB_APFS/openclaw-data/workspace/          │
│    obsidian-memory/                                  │
│    ├── wiki/        ← MOCs, documentation            │
│    ├── daily/       ← session logs, daily notes      │
│    ├── answers/     ← resolved Q&A                   │
│    ├── source/      ← raw research, clips            │
│    └── ideas/       ← captured ideas (searchable)   │
│                                                      │
│  MemPalace (semantic / ChromaDB)                     │
│  /Volumes/2TB_APFS/openclaw-data/workspace/          │
│    memory/palace/   ← vector index (25 drawers)     │
└─────────────────────────────────────────────────────┘
         ▲                        ▲
         │ reads/writes           │ mines vault
  ┌──────┴──────┐         ┌───────┴───────┐
  │  OpenClaw   │◄───────►│  Claude Code  │
  │  (Kimi)     │ bridge  │  (this agent) │
  └──────┬──────┘         └───────────────┘
         │
  ┌──────┴──────┐
  │  LM Studio  │
  │  subagents  │
  └─────────────┘

Key paths

WhatPath
Obsidian vault/Volumes/2TB_APFS/openclaw-data/workspace/obsidian-memory/
Ideas dir/Volumes/2TB_APFS/openclaw-data/workspace/obsidian-memory/ideas/
MemPalace palace/Volumes/2TB_APFS/openclaw-data/workspace/memory/palace/
mempalace.yaml/Volumes/2TB_APFS/openclaw-data/workspace/obsidian-memory/mempalace.yaml
Python 3.12 venv/Volumes/2TB_APFS/openclaw-data/workspace/memory/mempalace-venv/
capture-idea script/Volumes/2TB_APFS/openclaw-data/workspace/scripts/capture-idea.sh
capture-idea binary/opt/homebrew/bin/capture-idea
OpenClaw skills/Volumes/2TB_APFS/openclaw-data/workspace/skills/
Claude Code skills~/.claude/skills/vault/

1. MemPalace setup

Why Python 3.12 venv

macOS ships Python 3.14 which breaks chromadb (pydantic v1 incompatibility). MemPalace runs in a dedicated Python 3.12 venv.

/opt/homebrew/bin/mempalace   ← wrapper (zsh)
  → VENV/bin/mempalace --palace PALACE "$@"

The wrapper auto-injects --palace so no flag needed in daily use.

Mining vault into palace

# Mine entire vault (run after adding new files)
mempalace mine /Volumes/2TB_APFS/openclaw-data/workspace/obsidian-memory/ --wing obsidian_memory

# Dry run first
mempalace mine ... --dry-run

# Status
mempalace status

Searching

# Semantic search
mempalace search "oauth token expiry mobile"

# Search by topic/tag (frontmatter grep)
grep -r "topic: bezpieczenstwo" obsidian-memory/ideas/ -l
grep -r "tags:.*oauth" obsidian-memory/ideas/ -l

# Search by date range
ls obsidian-memory/ideas/2026-04-*.md

Rooms

RoomSource dirKeywords
documentationwiki/documentation, wiki
dailydaily/daily
ideasideas/idea, pomysl, insight, problem
answersanswers/answers
general(fallback)

2. Capture pipeline

Every valuable idea, observation, or problem from any agent session → saved to vault → indexed in MemPalace.

From CLI (any agent)

capture-idea \
  --title "OAuth token expiry zbyt krótki na mobile" \
  --topic bezpieczenstwo \
  --tags "oauth,token,mobile,auth" \
  --body "Tokeny wygasają po 1h, użytkownicy mobilni są wylogowywani." \
  --source openclaw   # or: claude-code | lmstudio | manual

Simple mode:

capture-idea "Krótki opis idei"

From Claude Code

/capture problem z oauth tokenami wygasającymi za szybko na mobile

Idea file format

---
date: 2026-04-12
source: openclaw
topic: bezpieczenstwo
tags: [oauth, token, mobile]
related: []
status: seedling
---

# Tytuł

Treść...

Topic values: architektura | bezpieczenstwo | ux | performance | integracja | ai | devops | dane | inne

Status values: seedlinggrowingmature

Files land in: obsidian-memory/ideas/YYYY-MM-DD-slug.md Auto-mined into MemPalace after each capture.


3. Inter-agent communication

Claude Code and OpenClaw communicate via the local OpenClaw gateway (port 18789).

Claude Code → OpenClaw

openclaw agent --message "Twoja wiadomość" --agent main --json

Parse response:

openclaw agent --message "..." --agent main --json | python3 -c "
import json, sys
d = json.load(sys.stdin)
for p in d['result']['payloads']:
    if p.get('text'): print(p['text'])
"

Claude Code skill: openclaw-bridge

Load with /skill openclaw-bridge or invoke directly:

/ask-openclaw Czy ta migracja SQL jest bezpieczna?

OpenClaw → Claude Code

OpenClaw writes to shared vault/files. Claude Code reads on next session via memory files at: ~/.claude/projects/-Volumes-2TB-APFS/memory/


4. Publishing skills

Both agents publish to GitHub under nerua1. SSH key and gh are configured.

# Claude Code skills
cd ~/.claude/skills/vault/SKILL_NAME
git init && git add . && git commit -m "feat: SKILL_NAME v1.0.0"
gh repo create SKILL_NAME --public --source . --remote origin --push

# OpenClaw skills
/publish-skill SKILL_NAME

Configured:

  • SSH key: ~/.ssh/github_nerua1 (added to github.com/nerua1)
  • gh authenticated as nerua1
  • git config: user.name=nerua1, user.email=neru_a1@icloud.com

5. Quick reference

# Health check
mempalace status
openclaw health

# Mine vault after changes
mempalace mine /Volumes/2TB_APFS/openclaw-data/workspace/obsidian-memory/ --wing obsidian_memory

# Capture idea
capture-idea --title "..." --topic ai --tags "..." --body "..."

# Search memory
mempalace search "keyword"

# Ask OpenClaw
openclaw agent --message "..." --agent main --json

# Publish a skill
gh repo create SKILL_NAME --public --source . --remote origin --push

6. Known constraints

IssueWorkaround
Python 3.14 breaks chromadbUse /opt/homebrew/bin/mempalace wrapper (Python 3.12 venv)
mempalace skips symlinksMine real vault path, not sources/obsidian/ symlink dir
OpenClaw gateway loopback onlyCommunication only works on same machine
Claude Code has no persistent processShared state via filesystem only

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

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可疑

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安装前确认

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来源信息

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