Yeah, using it a bunch with local LLMs. It's fast (small system prompt), focused on the basics, made around simple choices, and possibility to call it in scripts.
So far I have very positive experiences, the results are generally better (and not just faster) than in other harnesses with the same models. I've done the same (user) prompts for tasks in a range of them, and compare the outcome to eval between them. Simple (harness) beats complicated one many times. I do wish it could use MCP though, but not as often as I think, and CLI tool usage often compensates on this front with little extra effort)
That is now my usuall go-to harness for things usually. Still figuring out the edges though (when we get off the happy path, like models reaching their max context, or such...)
It's very light, recommed you try it out, and see if it fits your toolbox.
So far I have very positive experiences, the results are generally better (and not just faster) than in other harnesses with the same models. I've done the same (user) prompts for tasks in a range of them, and compare the outcome to eval between them. Simple (harness) beats complicated one many times. I do wish it could use MCP though, but not as often as I think, and CLI tool usage often compensates on this front with little extra effort)
That is now my usuall go-to harness for things usually. Still figuring out the edges though (when we get off the happy path, like models reaching their max context, or such...)
It's very light, recommed you try it out, and see if it fits your toolbox.