Kaydet（发音为“kai-det”，土耳其语意为“记录”）是一款面向开发者的终端笔记应用。以纯文本形式记录工作日志、想法、每日笔记和结构化元数据。用SQLite FTS即时搜索所有内容，并让你的AI也能搜索你的历史记录。

安装

支持AI（MCP）：

也可通过以下方式获得：

快速启动

人工智能集成

由MCP（模型上下文协议）驱动。连接Claude桌面、光标或任何兼容MCP的工具：

然后问问你的人工智能：

• “我这周做了什么？”
• “我这个月花了多少钱？”（#expense since:2026-07-01 --sum）
• “我学到了关于认证漏洞的什么？”（search_entries + since:）
• “总结我上次冲刺的成就”
• “我在三月记录了哪些费用，费用>1000？”（#expense since:2026-03-01 cost:>1000）
• “显示待办高优先事项” （list_todos status:pending filter:#work）

你的人工智能基于你自己的数据。不是泛泛的知识——而是你的知识。

MCP工具

内置MCP服务器，配备14个工具：

Never lose a solution twice.

Kaydet (pronounced “kai-det”, Turkish for “record”) is a terminal note-taking application for developers. Capture work logs, ideas, daily notes, and structured metadata in plain text. Instantly search everything with SQLite FTS, and let your AI search your history too.

Install

pipx install kaydet

With AI (MCP) support:

pipx install kaydet[mcp]

Also available via:

uv tool install kaydet    # uv

Quick Start

# Capture a solution (terminal notes, instantly)
kaydet "Fixed auth race condition commit:abc123 issue:312"

# Pipe command output into a new entry
ls -lah | kaydet
git log -5 --oneline | kaydet #git

# 6 months later — find it
kaydet --filter auth

# Log what you worked on (work log / developer diary)
kaydet "Deep work on ETL pipeline #work time:3h focus:high"

# Todo from the command line (CLI notes + tasks)
kaydet --todo "Write unit tests priority:high"
kaydet --done 42

# Search by metadata
kaydet --filter "status:done"
kaydet --filter "time:>2"

# Open today's entry in your editor
kaydet --today

# See your stats (plain text notes, searchable)
kaydet --stats

AI Integration

Powered by MCP (Model Context Protocol). Connect Claude Desktop, Cursor, or any MCP-compatible tool:

// claude_desktop_config.json
{
  "mcpServers": {
    "kaydet": {
      "command": "kaydet-mcp"
    }
  }
}

Then ask your AI:

• “What did I work on this week?”
• “How much did I spend this month?” (#expense since:2026-07-01 --sum)
• “What did I learn about auth bugs?” (search_entries + since:)
• “Summarize my accomplishments from last sprint”
• “What expenses did I log in March with cost > 1000?” (#expense since:2026-03-01 cost:>1000)
• “Show me pending high-priority todos” (list_todos status:pending filter:#work)

Your AI grounded in your own data. Not generic knowledge — your knowledge.

MCP Tools

Built-in MCP server with 14 tools: