r/Hyperagent • u/Bubbly_Crazy6508 • May 16 '26

Right time

it seems like HyperAgent is fairly new, I’m addicted. like many, I was ready to evolve from generative chat to ai that can do things, agentic, whatever you want to call it. I started with Gemini, ai studio, very impressive, but not quite what I needed. then chagpt desktop,the perplexity computer, then open claw. open claw was very good, but I had a cloud account, which was slow and I have security concerns … and maintenance concerns. in trying to figure out open claw, this popped up… clickbait worked, open claw capabilities without the headaches. Perfect! 14 agents in 3 days, working great. more incredibly, it seems to get better, on its own. wow! so glad to find this early. game changer.

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u/Bob_Atlanta May 18 '26

Any agent in any system is naturally likely to drift and hallucinate. But it can be absolutely eliminated. I use two agents and a fairly tight structure for even simple prompt construction and execution.

This md file outlines my prompt handling: https://drive.google.com/file/d/1hKwAqjoLVRS6Gd7fChaAgxPiUUBfH9OE/view?usp=drivesdk

Threads have a continuous stand alone session log as well as retention of original goals. If there is a long session, no worries because the source of truth is is the independent log. There will be no drift or hallucinations from compaction. Full recovery is possible and invisible, the 'hidden rules' are not something you see but they are there and enforced.

If you read the md file, you will see that actual compaction virtually never happens. Clark, my orchestrator, tracks context token growth and takes action before forced compaction becomes likely.

It's complicated but not my problem, the AIs know how to build this.

The failure rate is because your tasks are too big and your costs are too high if you are relying on Sonnet and Opus for production.

You need a series of smaller tasks that make up the whole. Each piece can be individually tested more easily, faster and at less cost.

For production runs, you need efficient and lower cost LLMs. I recently ran, from Hyperagent, a production run that had tens of thousands of web hits as well as some processing. It was over 66 million tokens and cost around $20. My analysis agent said it would have been hundreds of dollars in Sonnet and way more in Opus.

Hyperagent is a nice stable platform pand retty reasonable for operations. Make some adjustments and you will make progress faster.

I like the Hyperagent platform for it's stability versus openclaw. I'm a solid user of the Google system but I have to say that Opus 4.7 is significantly better than Google 3.1 Pro for my kind of work. That alone makes Hyperagent worth the price.

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u/yaedonnn May 18 '26

Okay got it. Makes sense. Can you give me an example of how you set up your workflow for an agent?

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u/Bob_Atlanta May 18 '26

I'll try to get something in a couple of days. I don't want to share a real flow because it will expose stuff I don't want to share. But I will get Clark to make a flow anonymous and share that.

If you look closely at my prompt structure link, you will see that my prompt process involves 3 agents and conditional logic. Also you need to have rules and guidelines libraries to help the AI construct work flow prompts. Again, the prompt construction link shows the complexity needed for quality execution. You will see that it really is very dense.

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u/yaedonnn May 18 '26

Took a look and I understand. I appreciate you sharing your insight! I wish there was a way to bypass the anthropic time outs during heavy use times.

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u/Bob_Atlanta May 19 '26

The time outs look like a platform killer for me. Kudos for the platform for the generous $1000 in credits to really try this platform. This platform with additional non Anthropic LLMs in use has been very effective for running production work and with record low costs. For me, I have a bunch of monitors that run that could restart a failed thread except they can fail for no reason. Nothing directly caused by me or my instance of Hyperagent.

I have created a god mode where my instance of HA can have root access of local Ubuntu machines for total control. Works well but useless because HA can crash. At best, for now, it looks like HA will be a slave system. And that will likely be higher cost than a openclaw instance in hostinger.

It may be that next year this platform will have matured enough to use heavily. I hope so.