AI coding assistants are becoming how software gets built. But every tool treats your conversation history as private data, stored in a format only it can read, with no path out. The result: every time you switch tools — because you hit a rate limit, want to try something new, or the team standardises on a different IDE — you start from zero. You re-explain the architecture, re-establish the constraints, and watch the model make the same mistakes you already corrected two sessions ago. Context is not a nice-to-have. It is the accumulated understanding that makes an AI collaborator genuinely useful. Losing it is expensive — in time, in repeated work, and in degraded output quality. This is a solvable problem. The session data exists on every developer's machine. The model that seeds its context from a well-structured prior transcript performs dramatically better than one starting cold.

Mnemosyne

Export AI chat and carry context from one tool into another.

Export AI chat and carry context from one tool into another.