From Isolated AI to Agentic Mesh: The Next Technological Leap

With this article, discover how the Agentic Mesh represents the next logical evolution of AI, not only pushing technical boundaries but also reimagining the role of work in a constantly changing world.

Since the inception of artificial intelligence (AI) in the 1950s, the field has experienced significant revolutions. Neural networks paved the way with concepts like the perceptron, offering rudimentary pattern recognition capabilities. The 1980s saw a resurgence of these models thanks to the backpropagation algorithm, while the late 2010s introduced transformers, revolutionizing natural language processing, understanding, and content generation with models like BERT and GPT. Meanwhile, multi-agent systems (MAS) explored distributed collaboration, but their application remained confined to specific scenarios.

Today, AI still faces major challenges. Large Language Models (LLMs), although powerful, are centralized, costly, and rigid. Multi-agent systems (MAS), on the other hand, leverage their decentralized intelligence in well-defined contexts where each autonomous agent follows simple rules to contribute to a collective intelligence. However, they struggle to integrate diverse agents into an open collaborative environment where problems are not clearly defined from the system’s inception. The lack of true autonomy and “grounding in reality” — mechanisms ensuring that tasks are actually executed correctly — hinders their potential.

This is where the Agentic Mesh comes into play. By connecting autonomous agents with diverse specialties in a decentralized ecosystem, it makes it possible to delegate complex tasks among agents. Imagine a world where every task, small or complex, can be entrusted to a specialized agent, collaborating with others to achieve collective goals without constant human supervision.

At Digitalkin, we see the Agentic Mesh as a unique opportunity to redefine the role of work in our societies. This network does not replace existing jobs. It transforms the very organization of work, shifting from a “roles” logic to a “tasks” logic. Agents, with their individual specialization, collaborate to complete global projects, allowing humans to focus on strategy, innovation, and relationships.

With this article, discover how the Agentic Mesh represents the next logical evolution of AI, not only pushing technical boundaries but also reimagining the role of work in a constantly changing world.

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Contact

Thibaud Perrin

CTO - DigitalKin

t.perrin@digitalkin.ai