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The Fifth Elephant 2025 Winter Edition - Call for Proposals

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Mayur Madnani

@mayurmadnani

Building Multi-Agent AI Systems: A Philosophical Debate

Submitted Nov 10, 2025

Type of submission: Hands-on workshop (1.5 hrs to 3 hrs)

Building Multi-Agent AI Systems: A Philosophical Debate

Description

Multi-agent AI systems are rapidly becoming one of the most practical and intuitive ways to build LLM-powered applications; but designing agents that can reason, collaborate, and disagree meaningfully still remains a challenge. This workshop introduces participants to multi-agent architectures through a uniquely engaging lens: a philosophical debate between Socrates, Plato, and Aristotle. By blending classical reasoning styles with modern agentic patterns, the session helps participants deeply understand how agent personas, memory, and orchestration shape emergent system behavior.

Through a hands-on, guided coding experience using local LLMs (SLMs), attendees will build a fully functioning multi-agent debate framework from scratch. Participants will design distinct agent personalities, implement multi-turn dialogue flows, manage shared and private memory, and integrate tool-calling capabilities. By the end, they will walk away with a reusable architecture for collaborative or adversarial AI systems applicable to areas like brainstorming, research assistance, tutoring systems, and decision-support tools.

Key Takeaways

  • Learn how to design, coordinate, and evaluate multi-agent AI systems with well-defined roles and reasoning patterns.

  • Build a complete philosophical-debate agent framework using local LLMs, covering persona design, memory management, orchestration logic, and tool integration.

Target Audience

  • Level: Intermediate developers and AI practitioners
  • Prerequisites:
    • Basic Python knowledge; familiarity with LLM concepts and prompting
    • Laptop; IDE with Python environment and Ollama installed
  • Ideal for:
    • Software engineers building AI-powered applications
    • ML/AI developers exploring agentic architectures
    • Technical leads evaluating multi-agent system patterns
    • Researchers or educators interested in human-inspired reasoning frameworks

Mayur is a seasoned engineer specializing in AI, data, and backend systems, with extensive experience building scalable, high-performance platforms at organizations such as JioHotstar, Intuit, Walmart, and SAP. He frequently delivers webinars and technical sessions on AI engineering and distributed systems, and actively shares insights with the developer community. Connect with him at: https://www.linkedin.com/in/mayurmadnani/

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