Meta's Muse AI agent hits number two on U.S. charts amid fierce agent race
The new agentic assistant gains rapid traction, but faces intense rivalry from text-based startup Instinct.
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- Meta's new agentic application, Muse, has reached the No. 2 position on the U.S. iOS App Store charts.
- The app amassed over 83,000 downloads in its opening days, representing a slower rollout than Meta's previous launches.
- Muse is competing directly with Instinct, a text-based AI agent startup recently valued at $2.5 billion.
Meta Platforms has secured a major foothold in the consumer AI landscape with its new agentic assistant app, Muse, climbing to the No. 2 spot on the U.S. iOS App Store charts. The application, which is designed to act as an active, personalized productivity copilot, surpassed over 83,000 downloads within its first forty-eight hours of availability. While the initial surge represents a successful debut, industry analysts noted that Muse's rollout has been considerably slower and more muted than Meta's previous blockbuster launches, such as Threads or Meta AI.
Muse offers users a highly agentic interface, allowing the system to perform complex tasks across connected services, such as drafting emails, scheduling appointments, and managing cross-platform workflows. Unlike standard chatbots, Muse runs asynchronous background tasks, prompting the user only when it requires clarification or final approval. To drive adoption, Meta has integrated Muse tightly with its existing social ecosystem, allowing users to invoke the agent directly from within Instagram and WhatsApp chats.
The rapid rise of Muse comes as competition in the consumer agentic space reaches a boiling point. Muse's primary rival is Instinct, a text-based conversational agent developed by an independent startup that was recently valued at $2.5 billion in a venture funding round. Rather than relying on Meta's social network, Instinct is pioneering a novel 'social graph of agents,' allowing different users' automated assistants to negotiate, share data, and schedule events with one another. This competitive pressure has forced Meta to rapidly deploy Muse, even as concerns persist over the safety of autonomous cross-platform action execution.
Meta’s Muse launch marks the transition of generative AI from conversational novelty to active workspace utility in the consumer mainstream. By embedding agentic workflows directly into a free, high-distribution mobile app, Meta is commoditizing the agent layer, forcing independent startups to focus on highly specialized networks or custom integrations to survive against Big Tech's built-in distribution advantages.
Can independent agent startups like Instinct maintain user growth and pricing power as Meta leverages its free, multi-billion-user social network to distribute Muse?
Still open. When the paper finds out, it will say so here and on the open questions page — including if it got this wrong.