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Meta AI lead, Yann LeCun, gestures while discussing OpenClaw's influence on AI development.

Editorial illustration for Meta's AI Lead Cites OpenClaw as Muse Inspiration

Meta's Muse AI Agent Tops App Store Charts

Meta's AI Lead Cites OpenClaw as Muse Inspiration

• 4 min read

Meta's new AI agent Muse hit the top of the App Store charts within days of launch and now has roughly 600,000 daily active users in the US, according to an Apptopia estimate. That's a big number for a product built inside Meta's Superintelligence Labs, and it's landed right as the AI agent space gets crowded. Instinct, another agent platform, is reportedly raising money at a $2.5 billion valuation. But the buzz around Muse has a complication: it looks a lot like OpenClaw, the open-source project widely credited with kicking off this wave of AI agents in the first place.

Social media users started pointing out the overlap almost immediately. File names, folder structures, even chunks of the document that governs the agent's tone and personality all bear a striking resemblance between the two platforms. For an open-source project that's been picked apart by developers for months, the similarities weren't hard to spot once people started looking. That's put Meta in the position of explaining exactly how much of Muse came from OpenClaw's playbook, and how much is genuinely Meta's own build.

Meta’s new consumer-facing AI agent, Muse, topped the App Store charts soon after its release and has 600,000 daily active users in the US, by an Apptopia estimate. And AI agent platform Instinct, whose eponymous creator is fundraising at a $2.5 billion valuation, has been making the rounds in the tech industry. Under the hood, though, there are some obvious similarities to the platform that started it all: OpenClaw.

Why this matters

Meta buying hundreds of Mac Minis after a January test of OpenClaw, then shipping Muse with leftover file names and code lines from that platform, tells us something about how fast "new" AI agents actually get built right now. The lineage isn't hidden so much as unaddressed, and that's the part worth watching. For developers, it's a reminder that the agent layer is consolidating around a handful of underlying architectures faster than the marketing around it suggests, so due diligence on what you're actually licensing or forking matters more than the demo.

For founders, Instinct's reported $2.5 billion raise on a platform with the same fingerprints as OpenClaw is a signal that investors are pricing distribution and polish, not necessarily originality. For researchers, the safety framing Meta's AI lead used, "safe and secure and easy to use and scale to billions," is worth testing against the actual codebase rather than taking at face value. Six hundred thousand daily users is a real number.

The provenance behind them deserves the same scrutiny.

Common Questions Answered

How many daily active users does Meta's Muse AI agent have in the US?

According to an Apptopia estimate, Meta's Muse AI agent has approximately 600,000 daily active users in the US. This represents a significant user base for a product built within Meta's Superintelligence Labs, particularly given the crowded AI agent market.

What is the reported valuation of AI agent platform Instinct?

AI agent platform Instinct is reportedly raising money at a $2.5 billion valuation. This valuation demonstrates the significant investor interest and competition in the growing AI agent space.

What are the similarities between Meta's Muse and OpenClaw?

Meta's Muse shares obvious similarities with OpenClaw, the open-source project that started the AI agent platform movement. The article notes that Muse shipped with leftover file names and code lines from OpenClaw, suggesting Meta built upon the OpenClaw foundation for its consumer-facing AI agent.

What does Meta's purchase of Mac Minis reveal about AI agent development?

Meta's purchase of hundreds of Mac Minis after a January test of OpenClaw reveals how quickly new AI agents are actually built in practice. This action demonstrates that the lineage of AI agent platforms is often unaddressed rather than hidden, and shows how fast the underlying architectures are consolidating around a handful of core technologies.

How quickly did Muse reach the top of the App Store charts after launch?

Meta's Muse AI agent topped the App Store charts within days of its launch. This rapid rise to the top demonstrates strong market demand for AI agent applications despite the increasingly crowded competitive landscape.

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