What is Deep Recall?
Deep Recall is a shared memory space for people who use multiple AI agents and want their saved context to travel with them. It organizes details and plans from uploaded files into a brain that connected agents can use, rather than leaving that context inside each chat tool. Users can review and manage what is remembered, then export it in readable formats. Its hosted cloud brain works with web agents; a local runtime is planned but not yet available.
Deep Recall Features:
Cross-Agent Memory: Keep a shared set of memories available to connected agents, including Claude, ChatGPT, Muse, and other supported AI tools.
File Import: Add text-based PDFs, Office files, images, Markdown, and plain text for extraction of important facts, plans, and details.
Source Links: Keep extracted memories linked to their original files so you can return to the underlying document or image.
Memory Controls: Review remembered details, pin important items, and archive or delete information you no longer want kept.
Portable Export: Download a readable copy of your brain in Markdown or JSON whenever you want.
Sourced Answers: Use Ask to combine saved knowledge into an answer that includes sources.
Changing Plans: Let plans shift from upcoming items into history so agents do not keep treating past plans as current.
Deep Recall Benefits:
Less Repetition: You can avoid rebuilding your profile and re-entering the same useful context each time you switch AI tools.
Consistent Context: Connected agents can draw on the same saved details, helping you move between tools without leaving your background behind.
Current Plans: Changing a plan’s status helps reduce confusion between what is still upcoming and what has already happened.
Checkable Details: Links back to source files make it easier to verify where an extracted fact or plan came from.
An Easier Exit: Readable exports give you a copy of your memory outside any one provider’s chat history.
Use Cases:
Switching AI Tools: Move between Claude for one task and ChatGPT for another while keeping the context you have saved available to both.
Planning a Trip: Keep travel preferences, such as an aisle-seat preference, alongside trip plans that can later become part of your history.
Working From Documents: Extract dates, responsibilities, and other useful details from a launch brief or similar project file for connected agents to use.
Tracking Personal Details: Save details such as where you met someone or a preference you want AI agents to remember.
Keeping a Portable Archive: Export your saved knowledge as Markdown or JSON when you want a readable copy separate from your AI conversations.