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Cross-AI memory: a practical pattern for switching between ChatGPT, Claude, and Gemini

Most knowledge workers use 3+ AI products a day. Here's a concrete capture/recall pattern that stops you re-pasting the same context every time you switch.

Pick a random hour in your workday and count the AI tabs open. Most people land on three or four: ChatGPT for the broad brainstorm, Claude for the careful reasoning, Gemini for long-context document work, and a coding agent like Cursor or Claude Code in the editor. None of them know what the others did.

The capture-recall pattern

The fix is a discipline more than a feature: capture every chat that produced a useful decision, recall it the moment another tool would benefit. Two rules.

  1. Capture immediately. The moment you finish a chat that matters, hit the capsule button before closing the tab. Five-second habit.
  2. Recall by intent, not by source. Don't think 'where was that Claude chat?' — think 'I need the rate-limit discussion'. Hybrid search finds it across every provider.

What 'matters' means

Concrete daily example

Morning: brainstorm new endpoint with ChatGPT → capture. Midday: implement in Cursor → Cursor's agent uses dropdat_recall to pull the morning's chat. Evening: write up the change for the team → Claude reads the capsule, drafts the PR description.

What stops working without this

Without a capture-recall loop, every context switch costs you the same five minutes of re-explaining. Across a day that's an hour of slow tax you don't notice. Across a quarter you've lost a week.

Tools you need

dropdat ships all four. Install the extension, capture three chats today, and tomorrow ask Claude Code to recall one. Once you feel that work, the habit takes care of itself.

Start a capsule library