RSSidian 是一款强大的工具，连接您的 RSS 订阅与 Obsidian，创建自动化的文章内容分析和知识管理流程。

特色

• OPML 集成：
• 自动从 OPML 文件导入 RSS 订阅
• 通过命令行直接添加信息流（无需 OPML）
• 具备静音/解除静音功能的智能馈源管理
• 简便的订阅组织和文章列表
• RSS 订阅处理：
• 检索并解析RSS订阅源以发现新文章
• 默认仅处理最近7天的文章
• 可配置的旧内容回溯期
• 智能存储：
• SQLite3 文章元数据和完整内容数据库
• 用于快速语义搜索的烦恼向量索引
• 向量嵌入以实现高效内容发现
• 订阅统计追踪（文章数量、质量评分）
• 可配置的Obsidian markdown导出
• AI驱动分析：
• 使用 OpenRouter 生成定制摘要和洞察
• 智能内容质量评估（S/A/B/C/D等级系统）
• 带有数值评分（1-100）的价值分析
• 内容过滤的可配置质量阈值

RSSidian

RSSidian is a powerful tool that bridges your RSS feed subscriptions with Obsidian, creating an automated pipeline for article content analysis and knowledge management.

Features

• OPML Integration:
  • Automatically imports RSS subscriptions from OPML files
  • Direct feed addition via command line (no OPML required)
  • Smart feed management with mute/unmute capabilities
  • Easy subscription organization and article listing
• RSS Feed Processing:
  • Retrieves and parses RSS feeds to discover new articles
  • Defaults to processing only recent articles (last 7 days)
  • Configurable lookback period for older content
• Smart Storage:
  • SQLite3 database for article metadata and full content
  • Annoy vector index for fast semantic search
  • Vector embeddings for efficient content discovery
  • Feed statistics tracking (article count, quality ratings)
  • Configurable Obsidian markdown export
• AI-Powered Analysis:
  • Uses OpenRouter to generate customized summaries and insights
  • Smart content quality assessment (S/A/B/C/D tier system)
  • Value analysis with numerical scoring (1-100)
  • Configurable quality thresholds for content filtering
  • Cost tracking for all AI API calls
• Digest Generation:
  • Creates comprehensive digest notes in Obsidian
  • Collapses similar/overlapping stories for concise presentation
  • Organizes content by quality tier and relevance
  • Includes feed statistics and processing metrics
• Natural Language Search:
  • Fast semantic search powered by Annoy library
  • Intelligent search that understands the meaning of your queries
  • Finds relevant content even when exact words don’t match
  • Configurable relevance threshold for fine-tuning results
  • Results grouped by feed with relevant excerpts
• Obsidian Integration:
  • Generates markdown notes with customizable templates
• MCP Service API: -Exposes a Model Context Protocol service for AI agents

Installation

# Clone the repository
git clone https://github.com/pedramamini/rssidian.git
cd rssidian

# Create and activate virtual environment using uv
uv venv
source .venv/bin/activate

# Install dependencies
uv pip install hatch
uv pip install -e .

# Or if you prefer using regular pip
python -m venv .venv
source .venv/bin/activate
pip install hatch
pip install -e .

Note: We use hatch as our build system. The -e flag installs the package in editable mode, which is recommended for development.

OSX XCode Issues

If you have build issues, try:

sudo xcode-select --reset
sudo xcode-select --switch /Applications/Xcode.app/Contents/Developer

sudo xcodebuild -license

export SDKROOT=$(xcrun --sdk macosx --show-sdk-path)
export CFLAGS="-isysroot $SDKROOT -I$SDKROOT/usr/include"
export CXXFLAGS="$CFLAGS"
export LDFLAGS="-L$SDKROOT/usr/lib"
export PATH="$SDKROOT/usr/bin:$PATH"

rm -rf ~/.cache/uv/builds-v0
uv pip install -e .

Configuration

Initialize configuration: