{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"glasp","slug":"glasp","name":"Glasp","type":"extension","url":"https://glasp.co","page_url":"https://unfragile.ai/glasp","categories":["browser-extensions"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"glasp__cap_0","uri":"capability://memory.knowledge.web.article.highlight.capture","name":"web-article-highlight-capture","description":"Captures text selections and highlights from web articles through a browser extension that injects DOM event listeners into the page context. When users select text, the extension intercepts the selection event, extracts the highlighted content along with metadata (URL, timestamp, article title), and stores it in a local/cloud database with visual annotation markers persisted in the browser's extension storage. The implementation uses MutationObserver patterns to track DOM changes and maintain highlight positions across page reloads.","intents":["I want to highlight key passages in articles as I read them without leaving the page","I need to capture quotes with their source URL and timestamp automatically","I want my highlights to persist even if the original article is deleted or updated"],"best_for":["researchers and students building personal knowledge bases","content curators managing multiple sources","knowledge workers who read extensively online"],"limitations":["Cannot capture highlights from paywalled or JavaScript-heavy sites that dynamically render content after page load","Highlight persistence depends on extension storage quota (typically 10MB per browser)","Does not work on PDF viewers or non-HTML content formats","Cross-browser sync requires manual export/import or cloud account linking"],"requires":["Chrome, Firefox, Safari, or Edge browser with extension support","Active internet connection for cloud sync (optional for local-only mode)","JavaScript enabled in browser"],"input_types":["text selection from DOM","article metadata (title, URL, author)"],"output_types":["structured highlight objects with text, source, timestamp, color tag","JSON export format"],"categories":["memory-knowledge","browser-extension"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"glasp__cap_1","uri":"capability://memory.knowledge.youtube.video.timestamp.highlighting","name":"youtube-video-timestamp-highlighting","description":"Extends highlight capture to YouTube videos by detecting video player context and mapping text selections to specific timestamps. The extension injects a custom UI overlay into the YouTube player, captures the current playback time when a highlight is made, and stores highlights as structured objects containing video ID, timestamp range, selected text, and context. Uses YouTube's iframe API to track playback state and enables seeking to highlight timestamps directly from the knowledge library.","intents":["I want to highlight key quotes from videos and jump back to them later","I need to create timestamped notes while watching educational or long-form video content","I want to share specific video moments with timestamps to my team or community"],"best_for":["students taking notes on lecture videos and online courses","content creators and researchers analyzing video material","teams collaborating on video review and feedback"],"limitations":["Only works on YouTube.com; does not support other video platforms (Vimeo, Wistia, etc.)","Cannot capture highlights from age-restricted or private videos","Timestamp accuracy depends on video player state synchronization; may drift on buffering or seeking","Highlights are tied to video ID; if video is removed, highlights become orphaned"],"requires":["YouTube video accessible in browser (not age-restricted)","Glasp extension installed and active","JavaScript enabled for YouTube player API"],"input_types":["text selection during video playback","current video timestamp from player state","video metadata (ID, title, channel)"],"output_types":["highlight object with video ID, timestamp, text, context","shareable video clip link with timestamp parameter"],"categories":["memory-knowledge","browser-extension"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"glasp__cap_2","uri":"capability://text.generation.language.ai.powered.highlight.summarization","name":"ai-powered-highlight-summarization","description":"Processes collections of highlights through an LLM API (likely OpenAI or similar) to generate abstractive summaries, key takeaways, and thematic clustering. The extension batches highlights by source (article, video, or topic tag) and sends them to a backend service that calls an LLM with a prompt template optimized for summarization. Results are cached and stored alongside the original highlights, with options to regenerate summaries with different prompt parameters or LLM models.","intents":["I want to automatically summarize all my highlights from an article without re-reading it","I need to extract key takeaways from a collection of video highlights to create study notes","I want to generate a quick overview of highlights from multiple sources on the same topic"],"best_for":["students and researchers synthesizing information from multiple sources","content creators generating summaries for social sharing","professionals conducting competitive analysis or market research"],"limitations":["Requires API key for LLM service (OpenAI, Anthropic, etc.); incurs per-token costs","Summary quality depends on highlight selection quality; garbage-in-garbage-out if highlights are poorly chosen","LLM context window limits the number of highlights that can be summarized in one batch (typically 2000-4000 tokens)","No fine-tuning or custom prompt templates in free tier; limited to default summarization style"],"requires":["Active API key for LLM provider (OpenAI, Anthropic, or self-hosted)","Internet connection to reach LLM API","At least 3-5 highlights per source to generate meaningful summaries"],"input_types":["array of highlight objects with text and source metadata","optional topic or theme parameter for contextual summarization"],"output_types":["text summary (1-3 paragraphs)","structured key takeaways (bullet points)","thematic tags or categories"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"glasp__cap_3","uri":"capability://memory.knowledge.community.highlight.discovery.and.sharing","name":"community-highlight-discovery-and-sharing","description":"Implements a social layer where users can publish their highlights to a community feed, discover highlights from other curators on the same articles or topics, and follow curators with similar interests. The backend maintains a public database of highlights indexed by article URL, video ID, and topic tags, with a recommendation algorithm that surfaces highlights based on user's reading history and followed curators. Highlights can be marked as public or private, and users can see aggregated highlight statistics (e.g., 'highlighted by 47 other users').","intents":["I want to see what other people found important in an article I'm reading","I want to discover curators with similar interests and learn from their highlight selections","I want to share my highlights with a community and get feedback or alternative perspectives"],"best_for":["online learning communities and study groups","research communities and academic networks","content curation communities and knowledge workers"],"limitations":["Privacy concerns: public highlights expose reading history and interests; requires explicit opt-in per highlight","Community moderation is minimal in free tier; no built-in spam or abuse filtering","Recommendation algorithm is basic; may surface low-quality or irrelevant highlights","No granular access control; highlights are either fully public or fully private"],"requires":["Glasp account with email verification","Active internet connection to sync with community feed","Opt-in to public highlight sharing (disabled by default)"],"input_types":["highlight object with public/private flag","user profile and curator metadata","article/video metadata for indexing"],"output_types":["community feed with aggregated highlights","curator profiles with follower counts and highlight statistics","recommendation list based on interests"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"glasp__cap_4","uri":"capability://memory.knowledge.highlight.organization.and.tagging","name":"highlight-organization-and-tagging","description":"Provides a hierarchical tagging and folder-based organization system for highlights, allowing users to create custom tags, nested collections, and color-coded categories. Tags are stored as metadata on each highlight object and indexed for full-text search. The UI allows bulk tagging, tag suggestions based on highlight content and existing tags, and dynamic filtering by multiple tags with AND/OR logic. Tags can be synced across devices through the cloud account.","intents":["I want to organize highlights by topic, project, or source for easy retrieval later","I need to quickly filter highlights by multiple tags to find relevant information","I want tag suggestions based on highlight content to maintain consistent tagging"],"best_for":["researchers managing highlights across multiple projects","students organizing study materials by subject and topic","knowledge workers building searchable personal wikis"],"limitations":["No hierarchical tag nesting; tags are flat (can use naming conventions like 'project/subtopic' but no enforced structure)","Tag suggestions are basic keyword extraction; no semantic understanding of highlight meaning","Bulk tagging operations are limited to ~100 highlights per batch to avoid UI lag","No tag aliases or synonyms; 'AI' and 'artificial-intelligence' are treated as separate tags"],"requires":["Glasp extension installed","At least one highlight created to begin tagging"],"input_types":["highlight object with text and source","user-defined tag strings","color codes for visual categorization"],"output_types":["tagged highlight objects with metadata","filtered highlight lists by tag combination","tag statistics and usage counts"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"glasp__cap_5","uri":"capability://automation.workflow.cross.device.highlight.sync","name":"cross-device-highlight-sync","description":"Synchronizes highlights across multiple devices (desktop, mobile, tablet) through a cloud backend that stores highlights in a user's account. When a highlight is created on one device, it is uploaded to the cloud backend and automatically downloaded to other devices where the Glasp extension is installed. Sync uses differential updates (only changed highlights are synced) to minimize bandwidth. Offline mode allows local highlight creation that is queued and synced when connectivity is restored.","intents":["I want to highlight articles on my phone and access them on my desktop","I need my highlights to be available across all my devices without manual export/import","I want to continue highlighting while offline and sync when I reconnect"],"best_for":["mobile-first users who read on multiple devices","remote workers and travelers with intermittent connectivity","teams sharing a knowledge base across devices"],"limitations":["Sync conflicts are resolved by last-write-wins; no merge conflict resolution for simultaneous edits","Offline queue has limited storage (typically 1-5MB); very large offline highlight batches may be dropped","Sync latency is typically 5-30 seconds; real-time sync is not guaranteed","Requires Glasp account with email verification; no anonymous offline-only mode"],"requires":["Glasp account with email verification","Internet connection for initial sync setup","Glasp extension installed on each device"],"input_types":["highlight object with timestamp and device identifier","sync state metadata (version, last-modified)"],"output_types":["synchronized highlight objects across devices","sync status indicators (pending, synced, conflict)"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"glasp__cap_6","uri":"capability://data.processing.analysis.highlight.export.and.integration","name":"highlight-export-and-integration","description":"Exports highlights in multiple formats (JSON, CSV, Markdown, HTML) and integrates with external tools like Notion, Obsidian, and Roam Research through API connectors or manual export. The export process batches highlights by source or tag, formats them according to the target tool's schema, and uploads them via API or generates a downloadable file. Markdown export includes source links and timestamps for easy import into note-taking apps.","intents":["I want to export my highlights to Notion or Obsidian to integrate with my existing workflow","I need to generate a CSV of highlights for analysis or sharing with colleagues","I want to create a Markdown file of highlights that I can version control in Git"],"best_for":["users with existing note-taking workflows (Notion, Obsidian, Roam)","researchers who need to analyze highlights in spreadsheet tools","developers who want to programmatically access highlights via API"],"limitations":["API integrations require manual authentication setup (OAuth or API key entry)","Notion and Obsidian integrations are one-way (export only); no bi-directional sync","Large exports (>10,000 highlights) may timeout or require pagination","Markdown export does not preserve highlight color or visual annotations"],"requires":["Glasp account with highlights to export","For API integrations: API key or OAuth token for target service (Notion, Obsidian, etc.)","Internet connection to reach target service APIs"],"input_types":["highlight collection filtered by tag, source, or date range","export format selection (JSON, CSV, Markdown, HTML)","target service credentials (optional)"],"output_types":["JSON file with full highlight metadata","CSV with columns: text, source, timestamp, tags","Markdown file with formatted highlights and source links","HTML file with styled highlights and visual annotations"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"glasp__cap_7","uri":"capability://search.retrieval.full.text.search.across.highlights","name":"full-text-search-across-highlights","description":"Indexes all highlight text and metadata (source, tags, author) in a full-text search engine (likely Elasticsearch or similar) and provides a search interface that returns matching highlights with relevance ranking. Search supports boolean operators (AND, OR, NOT), phrase matching, and filtering by tag, source, or date range. Search results are ranked by relevance and recency, with highlighting of matching terms in the result preview.","intents":["I want to quickly find a highlight I remember reading but can't recall the source","I need to search across all my highlights for a specific topic or keyword","I want to find highlights from a specific time period or source"],"best_for":["users with large highlight libraries (>1000 highlights)","researchers conducting literature reviews and synthesis","knowledge workers building searchable personal knowledge bases"],"limitations":["Search indexing has a delay of 5-30 seconds after highlight creation; newly created highlights may not appear in search immediately","Boolean operators and phrase matching are not available in the free tier; limited to simple keyword search","Search results are limited to 100 per query; pagination is required for larger result sets","No advanced search syntax (regex, fuzzy matching); search is exact or prefix-based"],"requires":["Glasp account with at least 10 highlights for meaningful search","Internet connection to reach search backend"],"input_types":["search query string (keywords, phrases, boolean operators)","optional filters: tag, source, date range, author"],"output_types":["ranked list of matching highlights with preview text","search metadata: result count, query execution time","highlighted matching terms in result preview"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"glasp__cap_8","uri":"capability://memory.knowledge.highlight.context.preservation","name":"highlight-context-preservation","description":"Captures and stores surrounding context (preceding and following sentences) when a highlight is created, enabling users to understand the highlight's meaning without re-reading the original source. Context is extracted from the DOM at highlight time and stored as metadata. When viewing a highlight, users can expand to see the full context, and the extension can generate a context-aware summary using the LLM if needed.","intents":["I want to understand a highlight's meaning without returning to the original article","I need to preserve context for quotes that might be ambiguous without surrounding text","I want to generate a context-aware summary of a highlight"],"best_for":["researchers and students reviewing highlights weeks or months later","content curators sharing highlights with others who may not have access to the original source","users building knowledge bases where context is critical for understanding"],"limitations":["Context extraction depends on DOM structure; may fail on poorly formatted or dynamically rendered pages","Context storage increases highlight size by 2-5x; large context may exceed storage quotas","Context becomes stale if the original article is updated or deleted","No automatic context refresh; users must manually re-capture context if the original source changes"],"requires":["Glasp extension installed","Original article accessible at highlight time (context is captured immediately)"],"input_types":["highlighted text selection","surrounding DOM text (preceding and following sentences)"],"output_types":["highlight object with context metadata","context preview (1-3 sentences before and after highlight)","context-aware summary (optional, requires LLM)"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"glasp__headline","uri":"capability://tool.use.integration.social.web.highlighter.extension","name":"social web highlighter extension","description":"Glasp is a social web highlighter extension that allows users to highlight and organize content from articles and YouTube videos, creating a personal knowledge library while enabling AI-powered summarization and community sharing.","intents":["best social web highlighter","social web highlighter for organizing content","top extensions for highlighting articles","AI summarization tools for web content","community sharing tools for highlights"],"best_for":[],"limitations":[],"requires":[],"input_types":[],"output_types":[],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":56,"verified":false,"data_access_risk":"high","permissions":["Chrome, Firefox, Safari, or Edge browser with extension support","Active internet connection for cloud sync (optional for local-only mode)","JavaScript enabled in browser","YouTube video accessible in browser (not age-restricted)","Glasp extension installed and active","JavaScript enabled for YouTube player API","Active API key for LLM provider (OpenAI, Anthropic, or self-hosted)","Internet connection to reach LLM API","At least 3-5 highlights per source to generate meaningful summaries","Glasp account with email verification"],"failure_modes":["Cannot capture highlights from paywalled or JavaScript-heavy sites that dynamically render content after page load","Highlight persistence depends on extension storage quota (typically 10MB per browser)","Does not work on PDF viewers or non-HTML content formats","Cross-browser sync requires manual export/import or cloud account linking","Only works on YouTube.com; does not support other video platforms (Vimeo, Wistia, etc.)","Cannot capture highlights from age-restricted or private videos","Timestamp accuracy depends on video player state synchronization; may drift on buffering or seeking","Highlights are tied to video ID; if video is removed, highlights become orphaned","Requires API key for LLM service (OpenAI, Anthropic, etc.); incurs per-token costs","Summary quality depends on highlight selection quality; garbage-in-garbage-out if highlights are poorly chosen","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.8500000000000001,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:22.066Z","last_scraped_at":null,"last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=glasp","compare_url":"https://unfragile.ai/compare?artifact=glasp"}},"signature":"WPQGeu7+v/90h4mgtMj1l6DSyAlVBgNce2RcoQz/U3OWodrekWMS09AMJKjy3IYxpfGJKBbgoVWC37TzrxVEAw==","signedAt":"2026-06-21T18:19:02.418Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/glasp","artifact":"https://unfragile.ai/glasp","verify":"https://unfragile.ai/api/v1/verify?slug=glasp","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}