Meta is developing a highly personalized AI assistant designed to carry out everyday tasks autonomously for its billions of users, the Financial Times reported on May 5, citing people familiar with the matter. The assistant is powered by Meta’s new Muse Spark AI model and is currently being tested internally. The goal, according to the report, is to build a product with capabilities similar to OpenClaw, the agentic AI system owned by OpenAI that can connect hardware and software tools and learn from the data it generates with minimal human intervention.
Separately, The Information reported that Meta is training an internal AI agent codenamed Hatch, also inspired by OpenClaw, with a target of completing internal testing by the end of June. Meta is also planning to integrate a standalone agentic shopping tool into Instagram, with a launch targeted before Q4 2026.
What Agentic AI Means for Meta’s Robotics Ambitions
The agentic assistant development is strategically connected to Meta’s accelerating push into physical AI. Last week, Meta acquired Assured Robot Intelligence, a humanoid robotics startup whose founding team – Lerrel Pinto and Xiaolong Wang – joined Meta’s Superintelligence Labs division. The ARI acquisition was explicitly framed around developing foundation models for whole-body humanoid control and robot self-learning.
An agentic AI layer that can autonomously manage tasks, connect tools, and learn from real-world data is a prerequisite for robots that operate independently in human environments. The same architecture that allows a digital assistant to book a restaurant, manage a calendar, and process a purchase can, in a physical AI context, allow a robot to perceive a task, plan an approach, and execute it without continuous human instruction. Meta’s simultaneous development of consumer-facing agentic software and humanoid robot intelligence reflects a coherent underlying strategy – building the AI capability stack from both ends.
Competitive Context
Meta faces intensifying competition in the agentic AI space. OpenAI’s OpenClaw has established a reference point that multiple companies are now building toward. Google, Apple, and Amazon are each developing agentic systems with varying degrees of hardware integration. For Meta, whose primary distribution channel is social media rather than devices or cloud infrastructure, the Instagram shopping agent represents the most immediate commercial application – a constrained, high-intent environment where agentic AI can generate measurable revenue.
The broader ambition – a personalized assistant that manages everyday tasks across Meta’s platforms for billions of users – requires the kind of persistent personalization and real-world task completion that current AI assistants have not reliably achieved at scale. Meta has not responded to requests for comment on the reports.