Meta is building a highly personalized agentic AI assistant designed to carry out everyday tasks for its more than 3 billion users, according to the Financial Times (reported via Reuters on May 5). The assistant is powered by Meta’s Muse Spark AI model and represents the company’s clearest move yet toward autonomous agent capabilities that compete directly with OpenClaw.
Separately, The Information reported that Meta is training an internal AI agent codenamed “Hatch,” explicitly inspired by OpenClaw, with internal testing targeted for completion by the end of June. A separate agentic shopping tool is planned for integration into Instagram before Q4 2026.
Muse Spark as Agent Foundation
Muse Spark launched in early April as what TechCrunch described as a “ground-up overhaul” of Meta’s AI capabilities. The model uses multiple AI agents working simultaneously on the same problem, with thinking time penalties to optimize token usage at scale. Meta recruited former Scale AI co-founder Alexandr Wang to lead Meta Superintelligence Labs, investing $14.3 billion in Scale AI for a 49% stake to secure training data infrastructure.
The agentic assistant differs from Meta’s existing chatbot in a critical way: it is designed to connect hardware and software tools and learn from user data with far less human intervention than a conversational interface. According to Reuters, the goal is functionality comparable to OpenClaw, which can orchestrate multi-step tasks across different tools autonomously.
Capital Expenditure Context
The announcement arrives as Meta faces intensifying investor scrutiny over AI spending. The company raised its 2026 capital expenditure forecast to $125-145 billion, according to Reuters, signaling plans to accelerate AI infrastructure investment even as it confronts potential losses from a global regulatory environment and youth backlash against social media.
Platform Agent Competition
Meta’s move places it alongside Google (which is internally testing its own autonomous agent codenamed Remy), Microsoft (building OpenClaw-style functionality into Copilot), and OpenAI itself in the race to build platform-scale autonomous agents. The differentiator for Meta is distribution: 3+ billion users across Facebook, Instagram, WhatsApp, and Messenger represent a deployment surface no competitor can match.
The timeline is aggressive. End-of-June internal testing completion leaves roughly three months before the Q4 product launch window. Whether Hatch ships as a standalone experience or integrates into existing Meta surfaces remains unclear from the reporting.
Meta did not respond to Reuters’ request for comment.