As someone who has used both Evernote and Standard Notes, I can say that the latter is obviously better for privacy but for those who are really looking for a FOSS option and want something more powerful than a simple notes store (albeit with a bit of a learning curve) you should definitely check out Logseq.
Yes, because making locally hosted LLMs actually useful means you don’t need to utilize cloud-based and often proprietary models like ChatGPT or Gemini which Hoover up all of your data.
This is very cool. Will dig into it a bit more later but do you have any data on how much it reduces hallucinations or mistakes? I’m sure that’s not easy to come by but figured I would ask. And would this prevent you from still using the built-in web search in OWUI to augment the context if desired?
I would check out Open WebUI which can be self-hosted via docker etc and configured with any OpenAI compatible endpoint so you can use a service like OpenRouter to run nearly any LLM remotely. Most of the open weights ones like Qwen 3 or Kimi K2 Thinking are great and cost pennies per inquiry and can be configured with Zero Data Retention (ZDR) so your data is not recorded. You could also use something like Ollama to run local LLMs if you want even more privacy and have the hardware (typically a modern Nvidia GPU with at least 16-24 GB of VRAM).
I’ve heard Calibre Web has a better UI and experience. Can anyone weigh in on whether that is true? I’m mostly looking for a better way to manage my book library on KOReader (Kindle) than just putting things into 3 directories (reading, to read, read) and using syncthing to copy them to the equivalent folders on my device.