Meta's Muse AI Agent Closely Modeled on OpenClaw Open-Source Project

Meta Confirms Muse Built on OpenClaw Blueprint

Meta's Nat Friedman, head of product at the company's Superintelligence Labs, publicly acknowledged that the Muse AI agent drew heavily from OpenClaw, an open-source personal agent project created by Austrian developer Peter Steinberger. While Friedman maintained that Muse was built from scratch, he confirmed the product was "definitely heavily inspired" by OpenClaw's design.

The acknowledgment came after weeks of user speculation about striking similarities between the two systems, first reported by TechCrunch. Friedman wrote on X that after using OpenClaw in January, he purchased hundreds of Mac minis for his team at Meta Superintelligence Labs. "Lots of us fell in love with using OpenClaw," he explained. "Our goal with Muse was to build something like OpenClaw that we could make safe and secure and easy to use and scale to billions of people."

What Users Discovered

The discussion intensified when Ansh Nanda, an AI app co-founder, posted that "Muse is LITERALLY OpenClaw for normies" and shared a conversation where Muse itself acknowledged the similarity between its system files and OpenClaw's was "not a coincidence" but "a match."

Users discovered that Muse carries a SOUL.md file—the same plain-text document format OpenClaw uses to define an agent's character, guiding principles, and operating constraints. According to reports, the contents of the two files were nearly indistinguishable. When questioned about the identical file names and nearly matching SOUL.md content, Friedman offered no defense, stating simply that "we thought that Peter got those things exactly right."

Friedman praised Steinberger as "a genius" whose "harness was pioneering from the jump." OpenAI hired Steinberger earlier this year, according to The Next Web.

No Legal Issues, But Product Questions Remain

Because Steinberger released OpenClaw under an open-source license, the file overlap carries no apparent legal implications. The debate centers purely on product development practices and attribution. Meta issued no independent statement; when TechCrunch requested comment, a spokesperson directed reporters to Friedman's post without further elaboration.

Why It Matters

This episode highlights how open-source AI projects are shaping commercial products at the largest tech companies—and raises questions about the line between inspiration and replication. While open-source licenses permit this type of borrowing, the near-identical implementation of core architectural elements suggests Meta's approach went beyond typical influence. For enterprise leaders evaluating AI agents, the incident underscores the importance of understanding the provenance and architectural foundations of the tools they deploy, particularly as agent frameworks mature and consolidate around common patterns.

Early Success Despite Friction

Muse launched on September 8 and rapidly climbed to the top position on the U.S. App Store. Meta's stock rose 11 percent on Monday following positive reception of the app. The rollout has encountered some resistance—Amazon moved to block Muse from completing purchases on its platform, arguing the agent conceals its identity and violates the site's conditions of use.

These details were first reported by TechCrunch and The Next Web.