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  • Hacker News
  • Agents editing their prompts and writing memory to markdown files is not and will never be RSI.
    by mpalmer
  • I always figured that the free/open weights models like qwen3.8:27b would perform just as well if not better than Claude's latest if you just fed it back into itself enough times. This project seems to prove that this is indeed the case.

    What I'd like to see now is how good it can get when you feed the micro models like qwen3.5:0.8b into itself to solve problems. Will it be like toddlers discussing neighborhood politics at a pretend tea party or will it actually get some decent results?

    Another game-changer (if this style works out): Just get a model like qwen3.8:27b onto one of those model-on-a-chip cards that makes it 1000x faster and see how fast it can go using the same method.

    by riskable
  • This looks similar to https://paseo.sh/, if I understand correctly. I’ve recently tried it and liked it a lot. Would be nice to see a comparison. When’s the harness of harnesses of harnesses coming?
    by arminluschin
  • I don't want to be too negative, but ... all this for a 0.8% improvement in SWE-bench Verified (90.2 for OpenCode vs 91)? And why is this (saturated) benchmark the one coding benchmark chosen to showcase on the homepage?

    Without trying it, this seems like its probably just a massive waste of tokens.

    by redhale
  • Dumb but honest question - do repos like this buy stars? How do they have thousands of stars with very little presence across HN/Reddit/X?
    by calebhwin
  • Reminds me a lot of omnigent (which I am a huge fan of) with a persistent memory layer. Unlike omnigent's subagent threads, the DAG it uses to coordinate other harnesses doesn't look to be durable; I am curious as to whether this is by design or is a forthcoming feature, as this essentially makes or breaks my use case of long-running project-sized implementation sessions.

    In any event, it's great to see competition in this meta-harness space, which is likely one that none of the frontier labs will touch since it, by definition, would utilize their competitors' products.

    by jeffnash
  • RSI here is for "recursive self-improvement", instead of a harness being built to help users with repetitive strain injury like I first thought when reading the post title
    by ssddanbrown
  • It's all very glitzy, but I'm failing to understand how "One prompt in. One result out." is of any importance.

    This and other recent AI hype-fests all seem to be obsessed with making agents do more work unattended.

    But surely in the real world, anyone who's got a real product to make is going to want to steer what's happening. It's ridiculous to think that anyone with a deadline would write a prompt so perfect that they walk away for 4 days and come back to find the finished product ready to ship.

    If you really can write a prompt so complete and perfect that it needs nothing further, then any regular harness could probably also do the job. But if like normal people you need to try something, think about it, iterate, and repeat.. then you also just need a regular harness.

    by julesrms

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