Tapestry

AI-native web intelligence workflow for crawling, organizing, and synthesizing web content from multiple platforms (Zhihu, Reddit, HN, X/Twitter, Xiaohongshu, Weibo). Use when users share URLs, want to archive web content, build knowledge bases, or analyze online discussions.

Generate professional visual note cards (视觉笔记卡片/信息图) from knowledge base content as single-page HTML infographics with PNG export. Use when users want to create visual summaries, knowledge cards, infographics, or poster-style visualizations of topics from the knowledge base.

Expose the organized knowledge base through a readable frontend experience. Use when a user wants to browse the knowledge base visually as a lightweight site instead of reading raw Markdown files directly. Supports building viewers for specific data paths (e.g., individual books) or the entire knowledge base.

Automatically triggered when Tapestry is first launched on a new environment or lacks dependencies. Intelligently detects environment and installs Tapestry dependencies with user confirmation.

Convert stored Tapestry artifacts into higher-level synthesis. Use when a user wants interpretation, consolidation, research notes, or analysis built on top of an already-ingested URL or note.

Export knowledge base content to PDF, Markdown, or HTML files saved under _data/exports/. Use when a user wants to save or share KB content as downloadable files. Supports exporting a single document file, a single feed entry, a single note, or the entire knowledge base.

Manage RSS/Atom feed subscriptions and refresh them into the Tapestry knowledge base. Use when the user wants to list, add, remove, or refresh subscribed feed sources by name rather than by URL.

Turn a crawler-produced Tapestry artifact into a source-appropriate structured feed. Use when a user wants a rigorous feed entry, normalized text output, or source-specific organization rather than a loose free-form summary.

Primitive web crawling and scraping for one or more URLs. Use when a user shares links, asks to ingest or archive web content, or needs raw source artifacts normalized into reusable local records before feed-building or synthesis.