Anyone else end up building a web access layer for local AI agents?

I've been running local models for most of my experiments, and I kept running into the same issue.

The model lives locally, but everything it needs to interact with doesn't.

Every new agent ended up with another GitHub client, another Reddit integration, another documentation scraper, another search API... after a while I was spending more time maintaining integrations than experimenting with the agent itself.

I eventually stopped trying to solve it inside each project and built a separate web access layer instead.

The idea is simple: let the local model talk to one gateway, and let the gateway worry about routing requests, caching, retries, and exposing different services through one interface.

I've been using it with local models, and it's made experimenting with agents much easier for me.

I'm curious if anyone else here has taken a similar approach, or if you're just connecting every tool directly to your agent.

If anyone wants to look at what I built, it's open source:
https://github.com/oxbshw/Agent-Span

I'd honestly be more interested in hearing how other people structure this part of their stack than getting stars on GitHub.