innernet VS Searx

Innernet is a barebone alternative. https://github.com/tonarino/innernet

Very relatable! At first, I struggled for days trying to make Netmaker or Innernet functional for my personal home server (Raspberry Pi behind multiple routers). But then I stumbled upon ZeroTier, and everything worked seamlessly within a couple of hours. Tailscale was actually the next one on my list because I heard many positive things about it over at r/selfhosted (especially about headscale). However, I did not end up testing it after ZeroTier worked.

Not if you are running wireguard without any management client/server like Netmaker or innernet or any of the many others like them.

I use the GCP free instance as my innernet coordination server (Wireguard mesh vpn). Which is extremely low traffic.

Or why not the open source tool innernet? https://github.com/tonarino/innernet

I wonder if this might improve over a more modern transport, if you were using an IPSec VPN.

Wireguard is enabling us to re-think what's possible over a VPN. Here's an example of what I mean. The network stack is based on Wireguard, with https://github.com/tonarino/innernet providing the topology and identity provisioning.

Virtual Private Network: Innernet, MASQ

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.