Meta building personal and business AI agents on top of Muse Spark model

Meta is developing AI agents for personal and business use that will run continuously to help users achieve goals, CEO Mark Zuckerberg announced during the company's first-quarter 2026 earnings call on April 29.

The agents will build on Meta's newly-released Muse Spark model, the first release from Meta Superintelligence Labs (MSL). Zuckerberg did not provide a release timeline or technical specifications for the agents.

Two agent types in development

Meta is building two distinct products:

• A personal agent focused on helping users "achieve the diverse goals in their lives"
• A business agent designed to help entrepreneurs grow their businesses, reach new customers, and serve existing customers

"Our goal is not just to deliver Meta AI as an assistant, but to deliver agents that can understand your goals and then work day and night to help you achieve them," Zuckerberg said.

Competing on ease of use

Zuckerberg positioned Meta's approach as more accessible than existing agent platforms. He cited OpenClaw as offering "a very exciting glimpse of what types of things should be possible" but criticized it as "pretty rough" to set up.

"There's a lot of agents out there that people are building for different things, and there aren't that many that I would want to give to my mother," Zuckerberg said. "How do you make a version of that experience that is a lot more polished and dialed and easy, and that has all the infrastructure basically done for people already."

The company did not disclose pricing, technical capabilities, or integration details for the planned agents. Meta Superintelligence Labs was previously announced but Muse Spark represents its first public model release.

Zuckerberg is also reportedly working on an AI clone of himself, though no details were provided during the earnings call.

What this means

Meta is making a clear bet that agent accessibility, not capabilities, will drive adoption. By building on Muse Spark and emphasizing infrastructure that's "already done for people," the company is targeting users who find current agent platforms too complex. However, without technical specifications or a timeline, it's unclear whether Meta has solved the reliability and safety challenges that have limited agent deployment at scale.