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Description
Compress AI conversations into token-efficient briefings. Switch models instantly—no context lost. Works on ChatGPT, Claude & more. ContextCapsule — AI Chat Summarizer & Context Exporter Switching AI tools mid-project? Hitting a context window limit? Tired of rebuilding your entire conversation from scratch? ContextCapsule compresses any AI chat into a clean, token-efficient briefing — ready to paste into any model in one click. No signup. No API key. No rate limits. What's New in v2.0.0 In-Browser History: You can now view your past summaries directly in the browser with an improved grid layout implementation. Direct AI Navigation: Added a feature to directly open and launch other AI platforms right from the extension. New Export Modes & Targets: Introduced new modes for exporting your capsules and a target modal to streamline where you take your context next. Hybrid NLP Pipeline (Role-weighted TF-IDF): The summarization pipeline was restructured to use a Hybrid NLP approach (with role-weighted TF-IDF) for significantly improved content classification and extraction. Popup Button: Added a dedicated popup button for easier access to extension functionality. Features Conversation Summarizer — Extracts and compresses your active chat into a structured, token-optimized briefing. Token Savings Counter — See exact token counts before and after compression. Export as .txt — Download your full raw conversation or copy it to clipboard for backups, documentation, or version control. Smart DOM Extraction — Captures only the main chat thread; sidebars and UI chrome are excluded at the extraction layer. Stateless & Private — No conversation data is stored, logged, or transmitted. Your chats stay yours. Supported Platforms Works on all major browser-based AI assistants and chat interfaces. If it runs in a browser tab, ContextCapsule works on it. Who It's For Developers hitting token limits during long coding sessions Anyone doing cross-model handoffs — moving an active session between AI tools mid-project Prompt engineers managing multi-model workflows People who want to save and archive AI conversations locally