Prime Agent: A self-improving RLM agent

primeintellect.ai

238 points by Xeophon a day ago


_joel - 12 hours ago

Installer might look pretty but it installs to the homebrew dir, despite not being a homebrew package. Very dirty. No uninstall method.

axus - a day ago

https://localroger.com/prime-intellect/mopiidx.html

andai - 21 hours ago

A write up on RLM (Recursive Language Models) by one of the authors of the RLM paper:

https://alexzhang13.github.io/blog/2025/rlm/

embedding-shape - a day ago

LLM-generated code that seemingly went without much review or design is always such an interesting dive into just how bloated you can make code. In this repository, multiple files are close to 10K LOC, one file contains a switch statement that has so many case statements it spans more than 1000 lines, and lots of other fun stuff.

I guess it depends on the model you're trying to use, but seems most of them prefer smaller codebases, they work a lot better with less code, which kind of makes sense. With that in mind, I'd probably aim for something way smaller to bootstrap a self-improving agent. Then I'd use this "Prime Agent" as an example to my self-improving agent for what it should not evolve to.

supermdguy - a day ago

It'll be really interesting when they run RL training on the harness self-improvement loop. I've tried using LLMs for harness engineering, but it often creates too much bloat that weighs things down in the end. Guessing it's just not something the models are tuned to do by default.

Curious if anyone's tried using RL for harness engineering? I think we're still pretty far away from the optimal harness, especially when it comes to long-context memory management.

riddlemethat - a day ago

I built one of these RLM harnesses and a local MCP server along with logging, memories, and project rules based on directories. It worked great for a while but the foundational models have largely caught up to the point where they don't need this harness anymore. At least for my use cases. I can basically just store context in .md in the directories we work out of together and accomplish what I need.

stared - a day ago

It is impressive that it (almost) saturates ARC-AGI-3, https://x.com/PrimeIntellect/status/2085087000764568010.

I am curious - how does it fare for other benchmarks, or everyday programming?

sexyketchup777 - 15 hours ago

As models get stronger, huge harnesses may become less useful. An overly opinionated harness could even constrain the model’s reasoning instead of improving it.

znnajdla - 7 hours ago

Very interesting idea but without any concrete examples of performance on real tasks its just a pretty idea

woah - a day ago

Might actually try this

zuzululu - 15 hours ago

this seems like its going to rip through tokens like crazy

self improvement is not a new idea but at current economics its not feasible

- a day ago
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eliaseffects - 8 hours ago

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modgate - 18 hours ago

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monocola - 12 hours ago

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mukundzzha - 16 hours ago

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Lortu_AEGIS - 20 hours ago

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amdahl - 18 hours ago

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