Engineering the Future of AI with Chirag Agrawal: Context, Memory and Coordination

Artificial Intelligence isn’t just getting smarter—it’s learning to coordinate. In this episode, Chirag Agrawal joins Dietmar Fischer to unpack how modern AI agents handle context, memory, and decision-making inside complex multi-agent systems. Together they explore how engineering, orchestration, and memory-sharing shape the next generation of AI architecture.

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You’ll hear how Chirag’s fascination with search led him to build early prototypes of intelligent assistants, and how today’s LLM agents extend that idea far beyond simple queries. He explains why AI isn’t one giant super-brain but a constellation of specialized agents—each performing specific tasks with shared or isolated memory—and how this design mirrors human collaboration.

🔑 Key Takeaways

• Why AI orchestration and context management are crucial for scalable systems

• The trade-offs between shared memory and independent agents

• What engineers mean by the ReAct Loop—reasoning and acting in tandem

• How multi-agent coordination is reshaping industries from healthcare to compliance

• Why the “AI supercomputer” myth ignores practical limits of context windows

  
  

🎵 Music credit: “Modern Situations” by Unicorn Heads