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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.
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