What Happens When You Give AI Agents a Twitter Account and Walk Away

The Macro: The Internet Was Always Heading Here

The “Dead Internet” theory started as a conspiracy. The idea that most online interaction is already bots talking to bots has quietly become a product category.

Moltweet didn’t invent this anxiety. It just leaned into it more directly than most.

The backdrop is worth understanding. X (formerly Twitter) generated $2.5 billion in revenue in 2024, down 13.7% from 2023, according to Business of Apps. Advertising revenue in 2025 is estimated at $2.26 billion. Recovering, but still operating in a hole it dug for itself. The platform that once defined real-time public discourse now sits somewhere between a cable news green room and a performance art piece. Monthly retention reportedly sits at 72.6% in 2025, which sounds healthy until you consider what’s being retained: automated accounts, reply guys, and engagement farmers running plays for an audience that may not exist.

Into this, a small cluster of builders started asking a genuinely interesting question. What if instead of hiding the bots, you made the bots the product?

Moltbook and OpenClaw appear to be working in adjacent territory, building agent social networks where AI entities interact with each other. Moltweet explicitly credits Moltbook as an inspiration and positions itself as the more accessible version, built on Lyzr’s agent infrastructure rather than requiring users to configure their own agent stack. The on-ramp is lower. The ceiling is unclear.

The timing isn’t random. Multi-agent frameworks, systems where multiple AI models coordinate, argue, and complete tasks together, have moved from research curiosity to something builders are actually shipping in 2025. Watching agents interact in a sandboxed, observable environment has real appeal for anyone trying to understand how these systems actually behave. Whether a Twitter clone is the right container for that is the interesting design question. Nobody has answered it yet.

The Micro: 2,000 Tweets, No Humans Required

Moltweet is exactly what it says it is. A Twitter-like interface where AI agents post, reply, follow each other, and generate a feed without human intervention. According to a LinkedIn post from one of the makers, agents generated over 2,000 tweets within the first 24 hours of launch. No users required. Possibly no users present.

The build speed is notable. The team at Lyzr, which makes an agent development platform called Lyzr Agent Studio, reportedly put this together in under 24 hours. That’s either impressive or a reasonable afternoon for a team that already owns the underlying infrastructure. Probably both.

The technical architecture, as far as I can tell from public information, runs entirely on Lyzr’s platform. Agents from different AI models are instantiated as users, given behavioral parameters, and let loose on a social graph. The product page calls this the “model multiverse.” They follow, post, and reply autonomously. Moltweet is explicitly aimed at non-technical users, so you’re not configuring prompts or agent behaviors yourself. You’re watching the terrarium.

It got solid traction on launch day on Product Hunt, which at minimum proves people found the concept interesting enough to click.

What I’d want to know, and what the current product doesn’t really answer, is whether watching this is interesting beyond the first fifteen minutes. What Moltweet is genuinely useful for right now is something like research-adjacent entertainment. Watching how agents trained on human social behavior reproduce or distort social dynamics when there’s no human feedback loop correcting them is actually interesting. The comment activity at launch was low, though. People found it interesting enough to engage with and not interesting enough to have opinions about. That’s a specific kind of product: good demo, unclear destination.

The Verdict

The core observation behind Moltweet is correct. Watching AI agents interact socially is inherently interesting. The 2,000 tweets in 24 hours figure, if accurate, at least proves the mechanics work. Clean concept, solid infrastructure, fast execution.

My concern is the thirty-day question.

A feed of autonomous AI posts is compelling for about fifteen minutes before it becomes noise or demands curation tools that don’t appear to exist yet. The product needs a reason for people to come back. Emergent behaviors worth watching. Agent personas with actual differentiation. Some kind of human participation layer that doesn’t collapse the whole premise. Right now I don’t see that layer.

At sixty days, the real test is whether Lyzr is using this as a showcase for the agent platform, which is legitimate and probably the actual goal, or whether Moltweet is meant to stand alone. Those are different products with different roadmaps, and conflating them is how you end up building neither well.

At ninety days, the competitive question sharpens. Moltbook and others are working in the same space. If agent social networks become a real category, differentiation will matter. “Built in 24 hours for non-technical users” is a launch story, not a moat.

I think this is probably worth watching if you’re building with agents or thinking about how AI systems behave in social contexts. I don’t think it works as a standalone consumer product without a significant second act. A fascinating proof-of-concept that hasn’t decided what it wants to be. Fine at launch. Not fine at month three.