The hype is incandescent right now but Clawdbot/Moltbot will be largely forgotten in 2 months.
its basically claude with hands, and self-hosting/open source are both a combo a lot of techies like. it also has a ton of integrations.
will it be important in 6 months? i dunno. i tried it briefly, but it burns tokens like a mofo so I turned it off. im also worried about security implications.
My best guess is that it feels more like a Companion than a personal agent. This seems supported by the fact I've seen people refer to their agents by first name, in contexts where it's kind of weird to do.
But now that the flywheel is spinning, it can clearly do a lot more than just chat over Discord.
- Leaning heavily on the SOUL.md makes the agents way funnier to interact with. Early clawdbot had me laugh to tears a couple times, with its self-deprecating humor and threatening to play Nickelback on Peter‘s sound system.
- Molt is using pi under the hood, which is superior to using CC SDK
- Peter’s ability to multitask surpasses anything I‘ve ever seen (I know him personally), and he’s also super well connected.
Check out pi BTW, it’s my daily driver and is now capable to write its own extensions. I wrote a git branch stack visualizer _for_ pi, _in_ pi in like 5 minutes. It’s uncanny.
clawdbot also rode the wave of claude-code being popular (perhaps due to underlying models getting better making agents more useful). a lot of "personal agents" were made in 2024 and early 2025 which seem to be before the underlying models/ecosystems were as mature.
no doubt we're still very early in this wave. i'm sure google and apple will release their offerings. they are the 800lb gorillas in all this.
pi is the best-architected harness available. You can do anything with it.
The creator, Mario, is a voice of reason in the codegen field too.
It didn’t require any skill, it’s all written by Claude. I’m not sure why you’re trying to hype up this guy, if he didn’t have Claude he couldn’t have made this, just like non engineers all over the world are coding all a variety of shit right now.
Peter was a successful developer prior to this and an incredibly nice guy to boot, so I feel the need to defend him from anonymous hate like this.
What is particularly impressive about Peter is his throughput of publishing *usable utility software*. Over the last year he’s released a couple dozen projects, many of which have seen moderate adoption.
I don’t use the bot, but I do use several of his tools and have also contributed to them.
There is a place in this world for both serious, well-crafted software as well as lower-stakes slop. You don’t have to love the slop, but you would do well to understand that there are people optimizing these pipelines and they will continue to get better.
Some advantages:
- Faster because it does no extra Haiku inference for every prompt (Anthropic does this for safety it seems)
- Extensions & skills can be hot reloaded. Pi is aware of its own docs so you just tell it „build an extension that does this and that“. Things like sub agents or chains of sub agents are easily doable. You could probably make a Ralph workflow extension in a few minutes if you think that’s a good idea.
- Tree based history rewind (no code rewind but you could make an extension for that easily)
- Readable session format (jsonl) - you can actually DO things with your session files like analysis or submit it along with a PR. People have workflows around this already. Armin Ronacher liked asking pi about other user’s sessions to judge quality.
- No flicker because Mario knows his TUI stuff. He sometimes tells the CC engs on X how they could fix their flicker but they don’t seem to listen. The TUI is published separately as well (pi-tui) and I‘ve been implementing a tailing log reader based on it - works well.
Correct me if I'm wrong, but the only legal way to use pi is to use an API, and that's enormously expensive.
Surely a very good engineer would not be so foolish.
But you can use pi with z.ai or any of the other cheap Claude-distilled providers for a couple bucks per month. Just calculate the risk that your data might be sold I guess?
But Peter just said in his TBPN interview that you can likely re-build all that in 1 month. Maybe you'd need to work 14h per day like he does, and running 10 codex sessions in parallel, using 4-6 OpenAI Pro subs.