CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

Memos CLI is a command-line tool for interacting with Memos (a self-hosted note-taking application) via its API. The project is in early development stage with minimal implementation.

Development Commands

Environment Setup

# Create virtual environment (Python 3.13 required)
python -m venv .venv

# Activate virtual environment
# Windows:
.venv\Scripts\activate
# Unix/macOS:
source .venv/bin/activate

# Install project in development mode
pip install -e .

Running the Application

# Run main module
python -m memoscli
# or
python main.py

Architecture

Project Structure

main.py - Entry point with basic Memos API integration
memos.py - Main module file (currently minimal)
src/send.py - Memos API client implementation for content posting
src/config.py - Configuration management for .env file operations
src/__init__.py - Package initialization
pyproject.toml - Project configuration with dependencies
.env - Environment variables template (auto-generated if missing)
examples/send_example.py - API usage examples
examples/config_example.py - Configuration usage examples

Planned Features

Content submission: memos send <content> [--type <type>]
AI-powered summaries: memos summary [--date <date>] [--tags <tags>]
Configuration management: memos config set <key> <value>

Required Environment Variables

MEMOS_BASE_URL=<your_memos_base_url>
MEMOS_TOKEN=<your_token>
MEMOS_AI_MODEL_NAME=<your_ai_model_name>
MEMOS_AI_MODEL_API_KEY=<your_ai_model_api_key>
MEMOS_AI_MODEL_API_URL=<your_ai_model_base_url>

Technical Requirements

Python 3.13 (specified in .python-version)
Dependencies: requests>=2.31.0, python-dotenv>=1.0.0
Uses Memos API with Bearer token authentication
Environment variable configuration via python-dotenv

Implementation Status

✅ Memos API client: Basic implementation in src/send.py
✅ Content posting: Can send memos with content, visibility, and tags
✅ Connection testing: Built-in connection validation
✅ Error handling: Proper exception handling for API errors
🔄 CLI interface: Basic implementation in main.py
✅ Configuration management: Complete implementation in src/config.py
⏳ AI integration: Planned but not implemented
⏳ Content summarization: Planned but not implemented

Usage Examples

Memos API 使用示例

# 方法1：使用便捷函数
from src.send import send_memo
result = send_memo("内容", visibility="PRIVATE", tags=["标签1", "标签2"])

# 方法2：使用API客户端类
from src.send import MemosAPI
api = MemosAPI()
result = api.send_memo("内容", visibility="PUBLIC", tags=["测试"])

配置管理使用示例

# 方法1：使用ConfigManager类
from src.config import ConfigManager
config = ConfigManager()
config.set('MEMOS_BASE_URL', 'https://memos.example.com')
url = config.get('MEMOS_BASE_URL')
config.show_config()

# 方法2：使用便捷函数
from src.config import set_config, get_config
set_config('MEMOS_TOKEN', 'your-token-here')
token = get_config('MEMOS_TOKEN')

命令行配置管理

# 显示当前配置
python src/config.py show

# 设置配置项
python src/config.py set MEMOS_BASE_URL https://memos.example.com
python src/config.py set MEMOS_TOKEN your-token-here

# 获取配置项
python src/config.py get MEMOS_BASE_URL

# 验证配置
python src/config.py validate

Development Notes

This project now has a functional Memos API client implementation. The core functionality for content posting is complete and tested. Remaining work includes:

CLI argument parsing for command-line interface
AI model integration for tag recommendations and summarization
Enhanced configuration management
Testing framework setup

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