Toffee is built to seamlessly sync your context across platforms while preserving token budgets and maintaining absolute privacy.
When injecting context into a new model, Toffee automatically truncates and summarizes the history based on the target model's context window (e.g., shrinking a 200K Claude conversation to fit into an 8K GPT-4 prompt).
Your conversations are compressed locally in your browser. Our backend servers never read your chat history. Cryptographic HMAC signatures ensure your `.toffee` bundles cannot be tampered with.
Toffee's custom recursive traversal engine pierces through complex web architectures like Microsoft Copilot's deeply nested Shadow DOMs, ensuring reliable extraction where standard extensions fail.
Using IndexedDB (Dexie) in the browser, Toffee works completely offline. Extract, compress, and inject your conversation context without ever needing an internet connection to our servers.
Toffee was designed from the ground up to solve the friction of using multiple AI models. Every interaction, animation, and algorithm was meticulously crafted to provide a premium, uninterrupted workflow.
Designed & Developed by Abhay Sachin Donde