XENA VS Searx

At the moment this is available only on "stage" branch. https://github.com/zarkones/XENA

or directly to the code at https://github.com/zarkones/XENA

Meet XENA. github.com/zarkones/XENA Free as a free beer. My motivation for its creation was the fact that a lot of red team solutions are expensive. Like real expensive. Price could easily go up to 10,000 euros for a single user, one year license. That's too much for myself. Yes. I could use a software like Metasploit (free ver.), but with it I feel like I'm not learning much. Thus XENA is born, from community to the community. You can have a taste of how it looks here: youtu.be/e7ELtfbnvqI

Or at least an open-source red team operations oriented framework, wait, there is: github.com/zarkones/XENA

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.