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Headlong: A microharness for persistent agents

laude.org

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Re: Headlong: A microharness for persistent agents

#21
post #2

Are there any objective metrics/ benchmarks that people test harnesses by? There are just so many now that it's hard to personally test them all or just trust the vibes.

Don't use any public benchmarks, every single one is worthless for your own use cases essentially.

Spend a day or two going through your existing chat sessions, and create your own private benchmark with test cases based on real tasks, that you don't share with anyone nor publicly. Make it easy to add/remove new harnesses and model combinations, make it give you a final score, ideally avoid using other LLMs for scoring, then use this to figure out if the new model/harness actually improves things for you.

I've been doing this for some time, and while most new releases show big increases in the benchmarks/evaluations, my own benchmark usually barely moves.

Re: Headlong: A microharness for persistent agents

#23
Can we please not normalize telling people to install things by curl piped into bash? I hate this trend. And particularly not for a very new, mostly untested by a wider audience piece of software from a company that few have ever previously heard of.

It even says, quoting from the website: "Headlong is alpha research software."

Yeah that's totally something I want to curl thing.sh | bash , great idea.... Wow.

I understand that people want to get people using their software as quickly as possible and with the absolute minimum of friction, but let's put some more thought into how this could be done in a less sketchy way.

It's like we've regressed to the days when you would download a .exe file from tucows and blindly run/trust it on your windows 98SE PC.

Re: Headlong: A microharness for persistent agents

#24

Very fascinating, super interesting engineering. Although i do find it very funny how they just bypass a massive vulnerability, basically zero data isolation (even between good actors, let alone bad ones) with 3 sentences. Only in the llm space you can slap a massive limitation like this in the middle of the article and continue like nothing happened > Whatever anyone tells Audel becomes part of the single experience…

I'm curious, you say "super interesting engineering" but then they say "it will often just tell you, even though we’ve asked it not to" and to me that seems like extremely shit engineering. Where are the interesting engineering parts at? Seems to be an interesting idea and perhaps design, but to call the implementation/engineering itself bad seems to be an understatement.

The security and the overall engineering were entirely separate items in that comment I think. It was explicitly called out that this is a security problem that you'd really only see treated in this manner in the LLM space. For what it's worth it's effectively unsolvable (AFAIU) short of realizing AGI with an amicable alignment.

Re: Headlong: A microharness for persistent agents

#28

But did it produce anything meaningful? If so, show me.

the webpage says: "Your agent keeps thinking between external interactions in a self-guided loop inspired by human inner monologue"

Since supposedly it keeps thinking when you leave it alone, I wonder what happens if you give it a brief prompt like "research the unicode eggplant emoji" and then ignore it for a week, and come back to find that you've spent thousands of dollars for claude to write a 385 page novel about the eggplant emoji.

Re: Headlong: A microharness for persistent agents

#29
post #9
post #5

It buries the lede. Prime Agent sounds like a very cool project.

I'm just exhausted. So I've today now learned about four new harness: https://github.com/exoharness/exo/ https://github.com/laude-institute/headlong https://github.com/microsoft/agent-lightning and now https://github.com/PrimeIntellect-ai/prime-agent Of course the don't have exactly the same scopes but they are in general all about persistent memory and / or continous agent loops. Like I miss those times where only o…

Used an llm to re-order my stars on github into appropriate lists ( it became a mess after LLM and the different type of projects).

I had all of those projects already in my favorites except Headlong. Arround 4k+ stars.

And probably WIKI ingested 300 of them for recipes and best practices.

Haven't used the WIKI yet though...

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