osync VS Searx

I tried googling and see this github repo for a shell tool called osync. Not sure if that's what it is or if that's a "red herring". From reading the description of that tool, it sounds like it's syncing files? With what? From what?

I still use it, because that's what I decided to set up after looking around and people raining praise onto it, but I wouldn't ever recommend it. It's a neat project, it does work if you essentially never touch it afterwards, but it's not a useful one as is if you do want to move things around a bit. I'd much rather use anything else, even proprietary solutions, than have to use Syncthing. When I stop lazing about and rebuild my system, I'm probably moving over to osync or something. Better that than Syncthing.

A tool called osync which might be able to do the job, it's like OS-level solution.

I've been considering simply moving over to osync because the little shit can't even handle a few additional files without crapping out. It works fine, when it works, but I almost don't dare touch it lest it crap itself out again. Its a sync program, adding a folder of some twenty pictures should not make it decide to dig an early grave.

I think searx was largely built by a single person.

https://github.com/searx/searx

I use Recoll to index all of it. Recoll WebUI exposes an API, which I plugged into Searx.

The quality of Google search results has been awful for many years now, but if you still want to use it, the only usable way is via a frontend like Searx[1]. Using any of Google's frontends for any of their services is an exercise in frustration from dodging ads and fighting their hostile UI.

[1]: https://github.com/searx/searx

RSS-Bridge has a Google search adapter. You can also fake it with Searx (which offers RSS feeds of search results).

I've recently wondered how effective local models were at chaining together thoughts as proposed in https://ofir.io/self-ask.pdf. Turns out they are indeed capable of doing so while also creating reasonable chains of thoughts that are easily as good as OpenAI's models. To make it completely free to run I used SearX running inside a Docker container with a second model curating the search results for the main model to get answers from the web.