Nanobot: Ultra-Lightweight Alternative to OpenClaw

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 voice stack runs locally on my M4 Pro and is extremely fast.

For Speech to Text, Parakeet v3 TDT: https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3

For Text to Speech, Pocket TTS: https://github.com/kyutai-labs/pocket-tts

Custom MCP to hook this into Claude Code, with a little bit of hacking around to get my AirPods' stem click to be captured.

I'm having Claude narrate its thought process and everything it's doing in short, frequent messages, and I can interrupt it at any time with a stem click, which starts listening to me and sends the message once a sufficiently long pause is detected.

I stream the Claude Code session via AirPlay to my living room TV, so that I don't have to get close to the laptop if I need extra details about what it's doing.

Yesterday, I had it debug a custom WhatsApp integration (via [1]) hands-free while brushing my teeth. It can use `osascript` for OS integration, browse the web via Claude Code's builtin tools...

My back is thankful. This is really fun.

[1]: https://github.com/jlucaso1/whatsapp-rust

Skimmed the repo, this is basically the irreducible core of an agent: small loop, provider abstraction, tool dispatch, and chat gateways . The LOC reduction (99%, from 400k to 4k) mostly comes from leaving out RAG pipelines, planners, multi-agent orchestration, UIs, and production ops.

What are people using these things for? The use cases I've seen look a bit contrived and I could ask Claude or ChatGPT to do it directly

Okay so is this ”inspired” by nanoclaw that was featured here two days ago?

Yeah I mean idk, my takeaway from OpenClaw was pretty much the same - why use someone's insane vibecoded 400k LoC CLI wrapper with 50k lines of "docs" (AI slop; and another 50k Chinese translation of the same AI slop) when I can just Claude Code myself a custom wrapper in 30 mins that has exactly what I need and won't take 4 seconds to respond to a CLI call.

But my reaction to this project is again: Why would I use this instead of "vibecoding" it myself. It won't have exactly what I need, and the cost to create my own version is measured in minutes.

I suspect many people will slowly come to understand this intrinsic nature of "vibecoded software" soon - the only valuable one is one you've made yourself, to solve your own problems. They are not products and never will be.

Is this something I run for my company in Slack, where employees send messages and the LLM processes the text, uses the functions I created to handle different tasks, and then responds back?

Can this be sandboxed? I've been running OpenClaw in a VM on macOS, which seems more resource intensive than necessary.

Not bad, but I’m a bit skeptical. Is it mainly about the way of working in IM?

What are your solutions for if your AI bot wants to leak your credentials?

Has anyone managed to get the WhatsApp integration working and chatting that way?

can anyone breakdown a comparison of multi-agent vs subagent?

looking for pro's and cons.

I'd like to see one of these in Rust (over Python, Node, etc) and in Apple's container environment.

The main novelty I see in openclaw is the amount of channels and how easy it is to set them up. This just has whatsapp, telegram & feishu