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Self Evolving Multi Agent Society

Self Evolving Multi Agent Society

Self-Evolving Multi-Agent Society explores the creation of a decentralized ecosystem where AI agents can discover, trust, and collaborate without depending on fragile centralized hubs. Existing protocols like Google’s A2A and similar systems often struggle with bottlenecks: they lack efficient discovery methods, rely on centralized registries, have weak incentive structures, and leave major gaps in scalability and security. This project introduces DIA, Decentralized Internet of Agents, a new architecture designed to overcome these shortcomings. Instead of forcing all agents through a single point of control, DIA organizes them into hierarchical, self-balancing communities, enabling them to find one another, negotiate, and transact directly while conserving bandwidth.

DIA is a novel communication protocol paired with a cloud-of-clouds architecture. Agents join dynamically, forming specialized clusters while also maintaining diversity for resilience. A reputation system based on micropayments ensures that trustworthy agents thrive, while low-quality or spammy behavior becomes costly to maintain. Through this combination of self-organization, efficient discovery, and economic incentives, the network can adapt as it grows, evolving into a robust Internet of Agents that mirrors the scale and dynamism of the real web. By embedding incentives and trust mechanisms directly into the protocol, the system addresses long-standing challenges in agent collaboration, making true peer-to-peer intelligence sharing possible.

The overarching objective of this work is to redefine how agents interact at scale, moving beyond incremental fixes toward an ecosystem where autonomy, security, and scalability are built in from the start. A successful implementation would not only provide a foundation for resilient multi-agent systems but also open doors to entirely new applications—from collaborative problem-solving and autonomous research to decentralized marketplaces of intelligent services. This project is both a practical engineering effort and a conceptual leap, aiming to establish the blueprint for a self-evolving society of agents that can operate as seamlessly and dynamically as the Internet itself.

Faculty

Students

  • Syed Muhammad Taha
  • Zain Ali
  • Maheen Ahmed

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