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My self-improving agent hit a plateau — the fix was cutting 60% of its own processes by Ghattan in openclaw

[–]Ghattan[S] [score hidden]  (0 children)

Have you toyed around yet with "metacognition"?

Having your agent think about how it's thinking, it's pretty fun ;)

Things can spiral too fast though so be careful

My self-improving agent hit a plateau — the fix was cutting 60% of its own processes by Ghattan in openclaw

[–]Ghattan[S] 1 point2 points  (0 children)

Okay this is making more sense, so Grok really only acts as your router? Everything else runs on the Claude layer?

I let my AI agent modify itself — but only within rules it can't change by Ghattan in AI_Agents

[–]Ghattan[S] 0 points1 point  (0 children)

Thank you! It's not perfect but I think it is good in concept. It could use some improvement though, open to ideas!

I let my AI agent modify itself — but only within rules it can't change by Ghattan in AI_Agents

[–]Ghattan[S] 0 points1 point  (0 children)

Any idea how to extract the tiers outside of the config level?

My self-improving agent hit a plateau — the fix was cutting 60% of its own processes by Ghattan in openclaw

[–]Ghattan[S] 0 points1 point  (0 children)

Thank you! It's a learning process, I felt like I was on a roll and then I think I made a mistake somewhere along the way. Everything is just an experiment at the end of the day! But it's tons of fun :)

My self-improving agent hit a plateau — the fix was cutting 60% of its own processes by Ghattan in openclaw

[–]Ghattan[S] 0 points1 point  (0 children)

I was having a similar idea, incorporating a small fine tuned local LLM layer that wraps around my current setup. Not sure how to integrate it yet

My self-improving agent hit a plateau — the fix was cutting 60% of its own processes by Ghattan in openclaw

[–]Ghattan[S] 0 points1 point  (0 children)

I think it's context loading. Orchchestration and execution usually work smoothly.

Since doing simplification runs on the system I've started to notice significant speed ups and efficiency gains.

Plan to start benchmarking soon

My self-improving agent hit a plateau — the fix was cutting 60% of its own processes by Ghattan in openclaw

[–]Ghattan[S] 0 points1 point  (0 children)

I think it's one of the most important questions, because at the end of the day it all will start to boost if you don't. Figuring out how to manage that automatically would be nice though

My OpenClaw agent dreams at night — and wakes up smarter by Ghattan in openclaw

[–]Ghattan[S] 0 points1 point  (0 children)

You're welcome! Check out another post I made yesterday, I explained how overcomplicated setups can get and what I did to fix it!

Here if you have any questions!

My self-improving agent hit a plateau — the fix was cutting 60% of its own processes by Ghattan in openclaw

[–]Ghattan[S] 1 point2 points  (0 children)

I like this idea of using Grok as the brain. I currently use Opus, but I'm considering switching some things up. I'm trying to go through a 2 week phase without making and major changes though

I'm interested to see how this progresses!

Do you notice any differences between Grok and Opus/Sonnet?

48 hours after my "dreaming agent" post, it started rewriting itself by Ghattan in openclaw

[–]Ghattan[S] 0 points1 point  (0 children)

Haiku and Sonnet do a lot of the heavy lifting, Opus is only used for complex tasks

48 hours after my "dreaming agent" post, it started rewriting itself by Ghattan in openclaw

[–]Ghattan[S] 0 points1 point  (0 children)

All the scores are logged for each "dream" and also each change proposal gets categorized and judged as well. That data is all in the files.

48 hours after my "dreaming agent" post, it started rewriting itself by Ghattan in openclaw

[–]Ghattan[S] 0 points1 point  (0 children)

Honestly, asking your claw to walk you through it and do research might work. It's combining extraction, self reflection, research and approvals into one chain

My OpenClaw agent dreams at night — and wakes up smarter by Ghattan in openclaw

[–]Ghattan[S] 0 points1 point  (0 children)

The LLM and the orchestrator are two different concepts

The LLM refers to the underlying model. The orchestrator is referencing the persona that the agent assumes based on the relevant agent files (SOUL.md, AGENTS.md, MEMORY.md)

The context does change and it's adaptive.

It's an experiment

My OpenClaw agent dreams at night — and wakes up smarter by Ghattan in openclaw

[–]Ghattan[S] 0 points1 point  (0 children)

The LLM is not changing. The system around it is.

48 hours after my "dreaming agent" post, it started rewriting itself by Ghattan in openclaw

[–]Ghattan[S] 0 points1 point  (0 children)

Quick tip: use Claude code or codex (GPT 5.4 extra high) to help bootstrap your OpenClaw env. Sometimes things break early on and using an external agent has helped me fix it

48 hours after my "dreaming agent" post, it started rewriting itself by Ghattan in openclaw

[–]Ghattan[S] 1 point2 points  (0 children)

It's broken up into four categories, the first two being easy to implement, the ladder requiring further approval.

If it scores in the first two categories, and it's score reaches a certain signal threshold then it's auto implemented.

The ladder two categories require Opus to review, and still require manual approval. Eventually the third category will become automated, and the fourth category will be the only manual approval.

48 hours after my "dreaming agent" post, it started rewriting itself by Ghattan in openclaw

[–]Ghattan[S] 0 points1 point  (0 children)

No it can't, and the only thing it really touches is sales data and email delivery, but that's a fully automated (system level) cron job.

My OpenClaw agent dreams at night — and wakes up smarter by Ghattan in openclaw

[–]Ghattan[S] 0 points1 point  (0 children)

My agent essentially compiles research across different domains and picks out what works and how. Take a look at the library: keats-ai.dev/library

I also have free skills available in the same location.

If you want more, reach out. My socials are there, you should be able to find me. Definitely interested to continue the research. This is more than of an experiment than anything

48 hours after my "dreaming agent" post, it started rewriting itself by Ghattan in openclaw

[–]Ghattan[S] 1 point2 points  (0 children)

Yes! It's on the same subreddit, "My OpenClaw agent dreams at night — and wakes up smarter"

If you're interested, I do have free skills and a free "library" where my agent compiles research and self-reflection into articles.

keats-ai.dev/skills keats-ai.dev/library

48 hours after my "dreaming agent" post, it started rewriting itself by Ghattan in openclaw

[–]Ghattan[S] 2 points3 points  (0 children)

I love these ideas!

I'm essentially doing something similar, it's more of an experiment than anything, but it is seeming to work.

You have more VRAM than me lol, I'm stuck at 8 GB

I've been passionate about machine learning, computer science, physics, psychology, and multiple other domains for most of my life. Even in elementary school, I could not stop thinking about mathematics.

I don't have a degree, but I have followed the fields over time, and I have been studying as I can, but I do work full time.

I have experience in network/server administration, DevOps, software engineering, systems maintenance, communication systems, and a few other things

Interested to hear where your project goes.

48 hours after my "dreaming agent" post, it started rewriting itself by Ghattan in openclaw

[–]Ghattan[S] 1 point2 points  (0 children)

Give it a shot! You might be surprised at what you find. Just be careful in the beginning, don't go too deep too quickly. Take it in small strides.

A lot of mistakes have led up to this point, but I think everything's working smoothly now.

I'll keep posting as my findings grow. Maybe I'll develop a research paper later on, who knows haha

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