RSSidian은 문서 내용 분석 및 지식 관리를위한 자동화 된 파이프라인을 만드는 Obsidian과 RSS 피드 구독을 브리핑하는 강력한 도구입니다.

특징

• ** OPML 통합**:
• 자동으로 OPML 파일에서 RSS 구독을 가져옵니다
• 명령행을 통한 직접 피드 추가(OPML 필요 없음)
• mute/unmute 기능을 가진 똑똑한 급식 관리
• 쉬운 가입 조직 및 기사 목록
• RSS Feed Processing:
• RSS 피드를 검색하고 새 기사를 발견
• 최근 기사를 처리하는 기본 사항 (마지막 7 일)
• 이전 내용에 대한 Configurable lookback period
• Smart Storage:
• 문서 메타데이터 및 전체 콘텐츠에 대한 SQLite3 데이터베이스
• 빠른 semantic 검색에 대한 Annoy 벡터 인덱스
• 효율적인 콘텐츠 발견을위한 벡터 embeddings
• 급식 통계 추적 (article count, 품질 평가)
• 구성 가능한 Obsidian markdown 수출
• AI-Powered Analysis:
• OpenRouter를 사용하여 사용자 정의 된 요약 및 통찰력을 생성합니다.
• 스마트 콘텐츠 품질 평가 (S/A/B/C/D 계층 시스템)
• 수치 측정 값 분석 (1-100)
• 콘텐츠 필터링을위한 구성 가능한 품질 임계 값

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: