Watching the OpenClaw/Molbot craze has been entertaining. I wouldn't use it - too much code, changing too quickly, with too little regard for security - but it has inspired me. I often have ideas while cleaning around, cooking, etc. Claude Code (with Opus 4.5) is very capable. I've long wanted to get Claude Code working hands-free. So I took an afternoon and rolled my own STT-TTS voice stack for Claude Code. The voic…
I would be happy to create such a system myself though I don't have Airpods. I have Beats Flex and perhaps I could somehow control the input with double volume up and down clicks. Or just use my phone somehow. Would you be willing to write more about your setup, perhaps a blog post?
Nanobot: Ultra-Lightweight Alternative to OpenClaw
131–133 of 133 posts
Re: Nanobot: Ultra-Lightweight Alternative to OpenClaw
#132Earlier quoted context omitted.
> Yes, but how good will the recall performance be? Just because your prompt fits into context doesn't mean that the model won't be overwhelmed by it. With current models it's very good. Anthropic used a needle-in-haystack example with The Great Gatsby to demonstrate the performance of their large context windows all the way back in 2023: https://www.anthropic.com/news/100k-context-windows Everything has become even…
That doesn’t match my experience, both in test and actual usage scenarios. Gemini 3 Pro fails to satisfy pretty straightforward semantic content lookup requests for PDFs longer than a hundred pages for me, for example.
Weird, it should be able to convert and seek
Re: Nanobot: Ultra-Lightweight Alternative to OpenClaw
#133Earlier quoted context omitted.
I've been leaning towards multi agent because sub agent relies on the main agent having all the power and using it responsibly.
What does that mean?
Have you come across the lethal trifecta [1]? I'm interested in decomposing tasks to avoid any agent doing all three and having limited data pipes between them.
[1] https://simonwillison.net/2025/Jun/16/the-lethal-trifecta/