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this post was submitted on 08 Aug 2026
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Programming
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What in particular? Maybe I can tell you.
My initial use case was testing graphrag locally, which might become relevant at work later on, so I generalized the thing I did to get it working through an agent subscription. Actually that usage is public too: https://github.com/sebastiancarlos/graphrag-faaah
What's the advantage/point vs just using an extension like Kilo or similar? What "reuse" is possible by saving the prompt/responses via text file?
Well, the main reason why I post my projects is for people to tell me what alternatives I'm missing, so thanks for that.
I'm actually not that familiar with Kilo, but I believe it's an agent/IDE-extension, and that you can use different providers for it, including coding agents (I think this is what you were referring to.)
So basically my use case is more niche. I just had an external tool (Graphrag) that only worked with an LLM API, and I had just an agent subscription, so i built an agnostic protocol via the filesystem to make them work together.
It's agnostic because you can have any tool on one side (which expects an OpenAI-like LLM API), and any LLM on the other side (which can be an agent subscription).
Nothing in Kilo would have allowed me to get Graphrag working, I think.
So how does it connect to any LLM without using their API?
Yes though Kilo was my example since they built a lot of support for other providers, though coding specific of course.
Well, the typical use would be by local Agent subscription. But in theory any LLM could work, so long as it's made to follow the filesystem protocol that faaah expects.
There's a video in the repo with an example of how it works, plus a diagram.
I think you lost most of us at "AI agent".
Yeah, I don't like agents either, so I'll take it. This just solved a real problem I had, so I went ahead and shared it