I don’t record audio because I believe this is already a built-in feature in many meeting software applications.

In fact, this project is indeed very computing-consuming, but it’s not Python’s fault. The main reason lies in the use of several machine learning models:

  1. OCR model
  2. Embedding model
  3. VLM model (optional)

I’ve tried many optimization approaches to ensure it doesn’t affect daily usage, though this comes at the cost of reduced search performance.

Thanks for sharing that.They are quite similar. But I found that this project is focusing on searching text. Pensive also enable vlm integration which can search contents without text.

I gave a bad name "memos" for the project. But there is a great open source project named "memos" over there. So I quickly changed the name to "Pensieve". Sorry for giving such confusing...

Herein lies the paradox: I want a tool that helps me record more information, but I don’t want this information to be easily exposed to others or used as evidence against me for things I’ve done. Yet, there are moments when I genuinely need to share this information—to prove what I have or haven’t done. The critical bottom line, however, is that the records must remain untampered. If I could alter them at will, their value and meaning would be entirely lost.