A community based topic aggregation platform built on atproto

feat(aggregators): implement Kagi News RSS aggregator core master

Implements Phase 1 of the Kagi News aggregator system, a reference implementation for the Coves aggregator architecture. Core components: - RSS Fetcher: Fetches feeds with retry logic and error handling - HTML Parser: Extracts structured data from Kagi's HTML descriptions (summary, highlights, perspectives, quotes, sources) - Rich Text Formatter: Formats content with proper Coves facets - State Manager: JSON-based deduplication with rolling window - Config Manager: YAML configuration with environment variable support - Coves Client: HTTP client for authentication and post creation - Main Orchestrator: Coordinates all components with error isolation Key features: - Verified feed structure: 3 H3 sections (Highlights, Perspectives, Sources) - Historical context woven into summary/highlights - UTF-8 byte position calculation for facets - Feed-level and item-level error isolation - Structured logging throughout Implementation uses Python 3.11+ with: - feedparser for RSS parsing - beautifulsoup4 for HTML extraction - requests for HTTP operations - pyyaml for configuration