Maktaba for Gemini
Paul Kiage
Transform default chronological chats into a structured knowledge base. Maktaba adds a local-first management layer to Google Gemini, allowing you to categorize and retrieve chat links in flow without sacrificing data privacy. CORE FUNCTIONALITY: 📂 Hierarchical organization: Move beyond linear history with folders tailored to specific research workflows or projects. ⚡ Flexible chat capture workflows: Save chats in the way that fits your current task: * Quick save: Use a quick save button to capture your active session alongside tags and notes without breaking your flow. * Contextual add: Use the folder "+" button to file a chat into a specific folder. * Link import: Use the "🔗" icon to add Gemini chat URLs directly to your library. 🏷️ Metadata enrichment: Categorize sessions with searchable tags and custom annotations—Maktaba only stores these identifiers, chat titles, and direct links, not the full conversation content. 🔍 Advanced search: Locate specific insights instantly using a filtering engine that supports tags, exact phrases, and term exclusions. ↕️ Custom sorting: Organize folder contents by chat title, the date added to your library, or the date of your last organizational edit. 📤 Universal portability: Export your organizational structure and chat links to JSON for backups, CSV for analysis, or Markdown. PRIVACY & DATA CONTROL: 🔒 Metadata-only extraction: The extension only accesses chat titles and URLs to build your library; it does not read, store, or transmit the internal content of your AI conversations. 🏠 Local-only storage: Maktaba operates entirely within your browser environment. All metadata is managed via chrome.storage.sync, ensuring your chat organization remains private, stays off external servers, and stays accessible only to you across your logged-in devices. ⚙️ Library maintenance: A dedicated dashboard allows you to monitor storage health and perform automated archiving or pruning of unlinked metadata to keep your system lean.
