What people use Savelore for

Each of these is a workflow that works fine until you have done it fifty times across four platforms. They are the reasons people install an archive rather than promising themselves they will start copying things into a document.

The thing all of these have in common

Every AI product keeps its own history and knows nothing about the others. ChatGPT cannot see your Claude threads. Claude cannot see what Perplexity found. The moment your work spans more than one of them, the history stops being a record of anything.

Savelore sits across nine platforms: ChatGPT, Claude, Gemini, Grok, Perplexity, DeepSeek, Copilot, Google AI Studio and NotebookLM. What you save from any of them lands in one archive, on your own machine, with the same tags, filters and source links.

Saving a response is not the same as saving a chat

Most tools in this space work at the conversation level. You file a thread in a folder and find it again by its title. That helps with a sidebar full of threads and does nothing for the actual problem, which is that the useful part was one message in the middle of a long argument.

Savelore saves at three levels. A single response with its code artifacts. A whole conversation, including a temporary one. Or a set of highlights pulled from several conversations across different platforms and stitched into one entry with citations back to each source. The last one is the reason most people stay.

Where to start

Pick whichever of these describes your week. If none of them quite do, the docs cover what the product actually does, the comparisons cover how it differs from the alternatives, and the free tools need no install at all.