
▶ project.execute()
Contextos is an AI-powered Chrome extension that solves the core problem of bookmark managers: saving links without saving context. Powered by Google Gemini AI, it reminds you exactly why you saved a webpage the moment you revisit it. Features include AI semantic search (describe what you're looking for), auto-generated tags and descriptions on every save, a visual Knowledge Graph of your bookmarks as clustered nodes, live/dead link detection, and team sharing for a collaborative shared knowledge brain.
Problem: 500+ saved bookmarks with zero memory of why any of them were saved the fundamental failure of every bookmark manager is that it stores links but loses context
Solution: Built Contextos, an AI Chrome extension powered by Gemini that reminds you WHY you saved a page the moment you revisit it with AI semantic search, auto-tags, a visual Knowledge Graph, live/dead link checker, and team sharing
Outcome: Created a production Chrome extension that transforms bookmarks from a static link list into a living, searchable, AI-powered personal knowledge base built in 1 month
Context popup revisit a saved page and instantly see why you bookmarked it
AI Semantic Search describe what you're looking for, Gemini finds it in your bookmarks
Auto-tags & descriptions every bookmark automatically tagged and summarized on save
Live / Dead Link Checker know which of your saved links are still alive
Knowledge Graph visualize your bookmarks as interactive semantic clusters
Team Sharing share bookmark collections as a shared team brain
Gemini AI integration powered by Google's latest language model
Chrome MV3 compliant built on the latest Manifest V3 extension standard
Zero manual effort full AI automation from save to search to discovery
Injecting context-aware popups into any webpage without interfering with existing page functionality or styling
Integrating Gemini AI for semantic search that understands natural language queries across 500+ saved bookmarks
Building a visual Knowledge Graph that clusters semantically related bookmarks as an interactive node graph
Implementing automated live/dead link checking for large bookmark libraries without triggering rate limits
Creating a team sharing system with shared bookmark libraries and collaborative annotation features
Used Chrome content scripts to inject minimal, non-intrusive context popups that appear only on previously bookmarked pages
Integrated Gemini AI embedding API for semantic search converting bookmark descriptions to vector embeddings for similarity search
Built Knowledge Graph visualization using D3.js force-directed layout with semantic clustering by topic
Implemented background service worker with staggered link-checking requests to avoid rate limiting
Created team sharing via Firebase real-time database with shared bookmark collections and access control
Instant context restoration bookmark reminders appear automatically when revisiting saved pages
AI semantic search finds bookmarks by description, not just title or URL
Zero manual effort every bookmark auto-tagged and described on save via Gemini AI
Knowledge Graph reveals hidden connections between related bookmarks visually
Team sharing transforms individual bookmark collections into a shared team knowledge base