Conductor was founded in 2024 and launched its core product only last summer, offering developers a way to split software projects across multiple AI agents working in parallel. Its platform can run in the cloud, locally or through a phone, using models from outside labs including Anthropic and OpenAI rather than models built in-house.¹

That narrow but increasingly valuable layer of the AI stack has now drawn Meta in. The company acquired Conductor for undisclosed terms, according to reports confirmed by Meta, which declined to provide further details. Founder and chief executive Charlie Holtz announced the move on Wednesday: “I have big news: Conductor is joining Meta.” He promised “big, crazy plans for the next interface” and said customers could expect something new by early next year.¹

For existing users, the transition comes with a catch. Conductor said its core features would continue operating as before until early next year, but its cloud service is scheduled to close on November 20, after which user cloud data will begin to be deleted.¹

Meta’s interest is part of a broader push to catch up in AI services. In August it launched Muse Code, its own coding agent, while its newer Muse agents have passed 10 million users. Conductor adds a different capability: not merely an agent that writes code, but a system for supervising many agents at once.¹

That distinction is central to the competitive reading of the deal. Axios reported that OpenAI disclosed plans to acquire Pierre Computer on the same day; Pierre focuses on storing and managing AI-generated code, while Conductor orchestrates simultaneous coding agents. OpenAI had also announced plans in June to acquire Ona, a cloud coding-environment and agent-orchestration startup.²

The stakes stretch beyond a new developer product. As one researcher told Axios, leadership in coding, programming and math helps AI firms improve their models themselves. Meta’s wager is that developers will not simply want smarter assistants; they will need a command center for an expanding workforce of machine collaborators.²