Manus, a Chinese startup, has developed a 'general purpose AI agent' that can autonomously plan, execute tasks, and deliver results in real time.
Praised for its capabilities, Manus can complete professional work quickly, showcased features like data analysis, creating itineraries, and received positive feedback on its user experience.
Manus utilizes a human-in-the-loop approach, where human work is required for various permissions and approvals, and was evaluated in the GAIA benchmark, outperforming OpenAI's Deep Research.
Despite being a wrapper of Anthropic's Claude Sonnet model, Manus has been appreciated for its well-designed interface and agentic capabilities.
Some users critiqued Manus for issues like taking excessive time on tasks, getting stuck on web searches, and being invite-only.
However, professionals like Aidan McLaughlin from OpenAI commend Manus for its value creation, emphasizing capabilities over architecture.
The development of an open-source alternative for Manus called 'OpenManus' on GitHub has sparked anticipation, indicating that Manus' capabilities can be replicated.
Criticism also arose regarding Manus' underlying models, potential slowdown due to using multiple models, and its invite-only distribution strategy.
The evolution of Manus prompts questions about when other major players in the AI ecosystem will release more accessible versions of similar capabilities.