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Agent Skill · 研究检索

memo-bridge(备忘录桥)

memo-bridge 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。

memo-bridge 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 32,538。

总安装 2,497周安装 103GitHub Stars 1下载 816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
1.0.0

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:memo-bridge(备忘录桥)
来源仓库:https://github.com/gonelake/memo-bridge
安装命令:
openclaw skills install memo-bridge
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 memo-bridge

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。

memo-bridge 实现在不同 AI 工具间迁移或备份内存上下文。支持导出、导入、备份与跨系统传输记忆数据。适用于多平台协作或多设备切换场景。memo-bridge 属于研究检索类 Skill,可作为该场景下的辅助能力补充。格式兼容性取决于目标系统支持程度,可能存在信息丢失风险。

建议在关键操作前进行完整备份以防数据损坏。

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 memo-bridge;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

    它需要需要联网,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

memo-bridge 怎么安装?

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

memo-bridge 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。

memo-bridge 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

memo-bridge 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。

memo-bridge 用的人多吗?

公开数据是累计安装 2,497 次,近一周安装 103 次,下载 816 次,GitHub 1 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。

memo-bridge 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

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
memo-bridge

备忘录桥 · 本页

2,4971需要联网MIT-0有提醒

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
memo-bridge
description
This skill should be used when the user wants to export, import, backup, migrate, or transfer AI memory/context between different AI tools. It handles memory extraction from tools like CodeBuddy, OpenClaw, Hermes Agent, Claude Code, and Cursor, and can import into any of these tools plus ChatGPT, Doubao (豆包), and Kimi. Trigger phrases include "记忆迁移", "导出记忆", "备份记忆", "memory migration", "memory export", "transfer context", "switch AI tool", "换工具", "迁移到", as well as any mention of moving preferences, context, or history between AI assistants.

MemoBridge — AI Memory Migration Skill

Purpose

MemoBridge extracts, standardizes, and migrates AI memories across tools and workspaces. AI assistants accumulate valuable context over time — user preferences, project history, knowledge progress, vocabulary lists, daily routines. This skill ensures none of that is lost when switching tools or machines.

When to Use

  • User wants to switch AI coding tools (CodeBuddy → Claude Code → Cursor → OpenClaw → Hermes)
  • User wants to export or backup their AI memory
  • User wants to onboard a new AI assistant with existing context
  • User wants to share AI context with a teammate
  • User is setting up a new machine or workspace
  • User mentions "记忆迁移", "导出记忆", "memory export/import/migrate"

Prerequisites

Node.js >= 22.0.0 must be installed. The MemoBridge CLI is available at the project root.

Supported Tools (8 total)

ToolExtractImportMethod
CodeBuddy✅✅Direct file read (.codebuddy/ + .memory/)
OpenClaw✅✅Direct file read (~/.openclaw/workspace/)
Hermes Agent✅✅Direct file read (~/.hermes/memories/)
Claude Code✅✅Direct file read (CLAUDE.md + ~/.claude/)
Cursor✅✅Direct file read (.cursorrules + ~/.cursor/)
ChatGPT✅ (prompt)✅Prompt-guided export, instruction-based import
Doubao / 豆包✅ (prompt)✅Prompt-guided export, instruction-based import
Kimi✅ (prompt)✅Prompt-guided export, context injection import

Core Workflow

Step 1: Detect installed tools

Run the detect command to discover all AI tools on the system:

cd {project_root}
node dist/cli.js detect

This scans for local tools (CodeBuddy/OpenClaw/Hermes/Claude Code/Cursor) and lists cloud tools (ChatGPT/Doubao/Kimi) that require prompt-guided export.

Step 2: Extract memories

For local tools (direct file access):

# CodeBuddy — auto-scans all workspaces
node dist/cli.js extract --from codebuddy -o ./memo-bridge.md

# CodeBuddy — specific workspace
node dist/cli.js extract --from codebuddy --workspace /path/to/project -o ./memo-bridge.md

# OpenClaw
node dist/cli.js extract --from openclaw -o ./memo-bridge.md

# Hermes Agent
node dist/cli.js extract --from hermes -o ./memo-bridge.md

# Claude Code
node dist/cli.js extract --from claude-code -o ./memo-bridge.md

# Cursor (with workspace for project rules)
node dist/cli.js extract --from cursor --workspace /path/to/project -o ./memo-bridge.md

For cloud tools (prompt-guided), generate the optimal export prompt:

node dist/cli.js prompt --for doubao
node dist/cli.js prompt --for kimi
node dist/cli.js prompt --for chatgpt

Then instruct the user to: copy the prompt → paste into the AI tool's chat → copy the AI's response → save as a file.

Step 3: Import memories

For file-based tools:

# To Claude Code (appends to CLAUDE.md)
node dist/cli.js import --to claude-code --input ./memo-bridge.md

# To Hermes Agent (auto-trims to 2200 UTF-8 bytes)
node dist/cli.js import --to hermes --input ./memo-bridge.md

# To OpenClaw (appends to MEMORY.md)
node dist/cli.js import --to openclaw --input ./memo-bridge.md

# To Cursor (requires --workspace)
node dist/cli.js import --to cursor --input ./memo-bridge.md --workspace /path/to/project

# To CodeBuddy
node dist/cli.js import --to codebuddy --input ./memo-bridge.md --workspace /path/to/project

For instruction-based tools:

# Generates text for user to paste into ChatGPT/Doubao/Kimi
node dist/cli.js import --to doubao --input ./memo-bridge.md
node dist/cli.js import --to chatgpt --input ./memo-bridge.md
node dist/cli.js import --to kimi --input ./memo-bridge.md

Step 4: One-step migration (shortcut)

node dist/cli.js migrate --from codebuddy --to claude-code
node dist/cli.js migrate --from openclaw --to hermes

Key Options

OptionDescription
--workspace <path>Specify a single workspace path
--scan-dir <path>Specify root directory for auto-discovery
--output <path>Output file path (default: ./memo-bridge.md)
--input <path>Input file path
--dry-runPreview mode, no actual writes
--overwriteOverwrite existing files instead of appending
--verboseDetailed output

Extending with Custom Adapters

Third-party adapters can be registered at runtime via the public registry API — useful when a user has a proprietary or yet-unsupported tool:

import { extractorRegistry, importerRegistry, BaseExtractor } from 'memo-bridge';

class MyToolExtractor extends BaseExtractor {
  readonly toolId = 'my-tool' as any;
  async extract() { /* ... */ }
}

extractorRegistry.register('my-tool' as any, () => new MyToolExtractor());

See references/adapter-guide.md for the full three-step adapter recipe.

Intermediate Format

The standard interchange format is memo-bridge.md — Markdown with YAML front matter. See references/format-spec.md for the complete specification.

Key properties:

  • Human-readable (any text editor)
  • LLM-friendly (can be used directly as CLAUDE.md)
  • Git-friendly (plain text, version-trackable)
  • Tool-namespaced extensions section preserves tool-specific data

(Hermes skills, OpenClaw SOUL/DREAMS, …) across migrations without polluting the common memory lists.

Security Features

  • Privacy sanitization: Automatically redacts 18 types of sensitive

information (API keys, passwords, tokens, SSH keys, emails, private IPs, Authorization headers, custom API headers like X-API-Key, database connection strings with embedded credentials).

  • Path validation: Prevents path traversal and symlink attacks;

case-insensitive on Windows so c:\program files can't bypass the denylist.

  • Content size limits: 5MB write limit, 10MB read limit enforced on

every extractor file read (no more unbounded reads).

  • System directory protection: Blocks writes to /etc, /bin,

/usr, etc. — except OS-managed temp subtrees (/var/folders/, /var/tmp/, /private/tmp/).

  • Strict tool-id validation: CLI --from / --to / --for args

are validated against the registered tool list before dispatch.

Error Handling

  • If no workspaces found: suggest --workspace or --scan-dir flags
  • If tool not detected: suggest installing the tool or using prompt-guided export
  • If import fails due to permissions: suggest checking file permissions or using --dry-run first
  • If Hermes import exceeds limit: content is automatically prioritized and trimmed

Building from Source

To build the CLI before first use:

cd {project_root}
npm install
npm run build

The project has 395 unit tests and a GitHub Actions CI that runs lint → test → build on every push. To verify the local install:

npm test    # ~500ms

平台分布

OpenClaw

81.15%
按下载量换算662

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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