The presentation of Manus, the new AI agent from Chinese start-up Monica, marks an exciting moment in the rapidly developing technology sector. As an autonomous system that independently analyzes, plans and implements complex tasks, Manus sets pioneering standards in the world of artificial intelligence and sets itself apart from the chatbot-centric approaches known to date.
Manus – what the autonomous AI agent can do
The design of Manus features sophisticated innovations that could have both technological and economic implications. Particularly noteworthy is the multi-agent architecture, in which several specialized AI agents operate in independent virtual machines (i.e. independent computer systems that Manus can use as required). This not only optimizes processing capacity, but also enables complex tasks to be processed in parallel. In addition, the integration of tools within the virtual environment enables Manus to write and execute program code, examine websites, use API connections and create reports independently.
Convincing examples where Manus can help are e.g.
Ads
- Screening of CVs
- Real estate research
- Precise analysis of stock markets
- Comparison of products such as insurance (see below)
- Creating websites
- Creating interactive learning material
- Planning trips
- Ecommerce analyses
- B2B supplier research
- and much more
This range not only illustrates the technological lead, but also the strategic vision behind Manus. The Use Case Gallery shows impressively how Manus works. You can view replays of completed tasks directly in the tool and see how Manus plans and executes its steps quickly and, above all, meticulously.
Manus in the benchmark: Outstanding performance that even surpasses OpenAI’s Deep Research
Monica reports that Manus outperformed all comparable products in the GAIA benchmark – a success that significantly strengthens the start-up’s position in the global competition.
The GAIA benchmark measures the performance of AI models at different levels of difficulty. It consists of several levels (Level 1, Level 2 and Level 3), which represent increasingly complex challenges. This benchmark compares the Pass@1 rate, i.e. the ability of a model to provide a correct answer on the first attempt. Manus.ai clearly outperforms OpenAI Deep Research and the current state of the art (SOTA) in all three levels. Level 1 (86.5 %) and Level 3 (57.7 %) in particular show a significant performance advantage, which indicates a strong optimization of the model.
Consequences for industry and the market
The release of a system like Manus raises fundamental questions about the future control and use of AI agents. Whilst the automation of tasks offers estimable benefits in terms of increased efficiency, there is an equal risk of displacing specific job roles. In particular, the ability to make decisions autonomously and hardly be able to learn from mistakes, as described in a study by the Bank for International Settlements (BIS), still points to obstructive weaknesses.
In addition, Manus is accelerating developments within a dynamic competitive environment: platforms such as NVIDIA or OpenAI are already under pressure to offer alternative solutions with similar autonomy and precision. A debate is also opening up about how these systems can be managed ethically and in terms of regulatory requirements, while open software projects such as SuperAgentX present development opportunities for broader and freer use.
Examples: How the AI agent Manus automates research tasks
On the left side you can see the AI chat, on the right side you can see how Manus uses its own computer system to perform tasks, e.g. creating diagrams, researching sources and more.
Example: Stock analysis using Tesla as an example
Result: Analysis dashboard generated by Manus for stock analysis
Example: Ecommerce analysis of Amazon data
Example: Comparison of travel insurance
Choosing travel insurance made easy: Manus compares the complicated PDFs of travel insurers and clearly shows what is covered and what is not, or for which conditions it cannot find any information. In future, AI could potentially make it even more important for insurance providers to present their conditions transparently and in full. This is because users prefer providers where it is clear what they are buying.
Manus – Important links
- To the Manus website: https://manus.im/
- Request early access: Via waitlist form or in the Discord channel
- Youtube video: Manus AI: The First-Ever General AI Agent (Source: WorldofAI)
The most important facts about Manus
- Innovative technology: Manus performs tasks autonomously from planning to execution, signaling the move from reactive to proactive AI solutions.
- Multi-agent architecture: Thanks to the distribution to multiple agents, Manus works highly efficiently and specialized even on complex processes.
- Practical applications: From resume analysis to budget planning and financial market research, Manus demonstrates real added value for companies.
- Custom benchmarks: Outperforms existing standards such as GAIA and positions the software as a cutting-edge solution for autonomous AI integration.
- Industry context: Competition between start-ups, tech giants and open source projects is growing rapidly as a result of these technological advances.
Source: SCMP
