local-memo

local-memo

Local-only MCP server for saving and restoring conversation context across AI agent sessions using JSON files on disk.

Category
访问服务器

README

local-memo

Local-only MCP server for saving and restoring conversation context across AI agent sessions. No cloud, no accounts — just JSON files on disk.

Inspired by Upstash Memo, but fully local.

Why?

Memo is a great idea — save your conversation context, get a short ID, restore it later in a different session or agent. But there's no reason that data needs to leave your machine. This version replaces the cloud API + Redis with plain files in ~/.local-memo/.

Install

Claude Code

claude mcp add local-memo -- npx local-memo

Or from a local clone:

claude mcp add local-memo -- node /path/to/local-memo/dist/index.js

Claude Desktop / Cursor

Add to your MCP config:

{
  "mcpServers": {
    "local-memo": {
      "command": "npx",
      "args": ["local-memo"]
    }
  }
}

Usage

Save context

Ask your AI agent to save the current conversation context. It will call memo_set and return a short ID:

> Please save our conversation context

Context saved locally.
ID: 4tJ630XqhCV5gQelx98pu
Expires: 2025-01-30T14:38:51.278Z (1440 minutes)

Restore context

In a new session, give the agent the ID:

> Restore memo 4tJ630XqhCV5gQelx98pu

List saved memos

> List my saved memos

Delete a memo

> Delete memo 4tJ630XqhCV5gQelx98pu

Tools

Tool Description
memo_set Save structured context (goal, completed tasks, pending tasks, decisions, files, extra context). Returns an ID.
memo_get Restore context by ID. Returns formatted markdown.
memo_list List all unexpired memos with their IDs and goals.
memo_delete Delete a memo by ID.

Options

Flag Default Description
--ttl-mins 1440 (24h) How long memos live before expiring
--dir ~/.local-memo Storage directory

Example with 7-day TTL:

claude mcp add local-memo -- npx local-memo --ttl-mins 10080

Storage

Memos are plain JSON files in ~/.local-memo/memos/:

{
  "id": "4tJ630XqhCV5gQelx98pu",
  "createdAt": "2025-01-29T14:38:51.278Z",
  "expiresAt": "2025-01-30T14:38:51.278Z",
  "ttlMins": 1440,
  "context": {
    "goal": "Build a local memo system",
    "completed": ["Designed schema", "Wrote MCP server"],
    "pending": ["Test it"],
    "decisions": ["Use filesystem instead of Redis"],
    "files": ["index.ts", "package.json"],
    "context": "Extra notes here"
  }
}

Back them up, sync them, grep them — they're just files.

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选