OpenAI Dots vs Meta Muse: How AI agents differ in features, use cases

OpenAI Dots and Meta Muse are taking AI beyond chatbots with agents that can browse the web, use connected tools, plan tasks and continue working toward a user's goal. Here's how OpenAI and Meta's AI agents differ, and how GPT-6.1 Sol and Muse for Small Business fit into their strategies.

The AI race is moving beyond chatbots, as OpenAI and Meta build agents that can perform tasks rather than simply answer questions. While OpenAI's Dots was announced during DevDay in San Francisco on September 29, 2026, Meta unveiled Muse on September 8, 2026.

Both companies are providing AI for browsers, connected tool use, and the capability to persist in achieving a user's objective. Their products target different use cases and ecosystems.

This change is also taking place at the model level. On September 29, OpenAI released GPT-6.1 Sol, a lower-cost model that performs nearly as well as Astra for coding and computer- and work-related tasks.

Meanwhile, Meta is looking to extend Muse to small-business workflows with new integrations with companies such as Shopify, QuickBooks, Canva, Slack and Stripe.

Muse and Dots move beyond simple chatbot tasks

Meta refers to Muse as a personal AI agent that can make plans, browse the web, fill out forms, send emails, and book travel. It is running on a cloud computer called Muse Secure VM, which has its own browser. Meta states that Muse will be able to continue running after the user exits the app and resume when it needs approval or changes.

OpenAI's Dots follows a similar agent-based approach. According to OpenAI's system card for GPT-6 Astra, Dots are always-on agents powered by GPT-6 Astra. Each Dot has its own cloud computer and browser, can access connected tools, and can perform repetitive tasks in services such as ChatGPT, email, SMS and Slack.

Pragya Singha Roy