The Future of AI Agents from Manus: What Kind of AI Do Enterprises Need?

Image Source: Manus Official Website
 

In recent, AI agents have become an important trend in the development of artificial intelligence technology. More and more businesses and individuals are paying attention to whether AI can become a truly intelligent assistant—one that not only answers questions but also performs multi-step tasks, makes decisions, and takes action. Recently, Manus has sparked widespread discussion. This AI agent has autonomous planning and execution capabilities, simulating human behavior and completing complex tasks. This raises the question: how should AI agents be designed in the future, and what kind of AI do enterprises need?

Manus is an AI agent developed by the Chinese startup Monica.im, and its 4-minute demonstration video has recently sparked heated discussions in the tech world. In the video, the AI not only interprets instructions but also autonomously plans steps, operates the computer environment, launches applications, and even completes a series of business tasks such as screening resumes, analyzing financial reports, and writing research papers. Compared to previous AI agents, Manus’s breakthrough technology makes us rethink the potential of AI in enterprise applications.

Manus is an advanced AI agent with three core capabilities: Planning, Decision Making, and Execution. Its technological features include:
 

 

These features make Manus a highly automated AI agent capable of providing efficient assistance in daily work, with enormous potential for both individual and enterprise applications.

Manus’s powerful functions can be applied in various fields. Here are a few typical application scenarios:
 

Despite Manus's excellent capabilities in various scenarios, it still faces several challenges when moving into enterprise-level applications:

1. Security Risks and Data Privacy
Manus needs to connect to external data sources, which raises concerns among many enterprises about the potential leakage of confidential information through external API access. Enterprises often prefer AI to operate within internal environments to reduce the risk of data exposure.

2. Lack of Domain Know-how, Difficulty Adapting to Specialized Scenarios
Manus’s knowledge comes from training data and lacks specialized knowledge for specific industries. For example, in the finance industry, AI may not fully understand risk control mechanisms, or in healthcare, it may not accurately grasp the diagnostic standards and treatment processes for each disease. If AI hasn’t been specifically trained in these industries, it may fail to provide decision support tailored to industry needs.

3. Unable to fully adapt to enterprise needs
Manus is based on a pre-trained model and cannot be finely tuned for enterprise-specific data. However, in scenarios requiring higher precision and specialization, internal fine-tuning can significantly improve the AI's accuracy and help it better adapt to the enterprise's specific needs and internal knowledge.

To address these challenges, Spingence's Edgestar solution has emerged to help enterprises create AI agents that are more controllable, secure, and specialized. Edgestar offers the following features:

1. Secure Deployment, Enterprise-Controlled
Edgestar allows AI to operate on local servers within the enterprise, ensuring that data is not exposed through cloud access. Enterprises can fully monitor the AI's operations, ensuring compliance with internal regulations and security requirements.

2. Professional Domain Knowledge Enhancement
Through Retrieval-Augmented Generation (RAG) technology, Edgestar integrates internal documents and databases, enabling AI to combine professional domain knowledge when responding to queries and providing more precise decision support.

3. Enterprise-Specific AI Fine-Tuning
Edgestar supports full-parameter fine-tuning of models up to 70B, allowing enterprises to train AI with proprietary data. This enables AI to deeply understand the enterprise’s internal knowledge, enhancing the accuracy and professionalism of decision-making.

Manus demonstrates the potential of AI agents in autonomous task execution, but simply being able to "do the work" is not enough. Enterprises need AI to truly understand industry know-how to ensure the professionalism, security, and controllability of decisions.

Edgestar provides an enterprise-level LLM platform that easily integrates AI as part of the enterprise’s wisdom, turning it into a professional decision support tool rather than just an assistant. Such AI agents represent the future direction of enterprise AI solutions and will become a core competitive advantage in the digital transformation process of enterprises.

Want to learn how to integrate Edgestar into your enterprise and unlock the future of intelligent decision-making?
Contact us to discover how Edgestar can help build a smarter business future!