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Streaming the Future: Kafka & The Agentic Era

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What to expect

Is Apache Kafka becoming the default nervous system for AI agents? This builder-focused evening at House of AI in San Francisco explores how streaming infrastructure is evolving to support autonomous AI systems. If you're architecting real-time AI applications or building agent-based systems that need to coordinate, observe, and react at scale, this meetup brings together founders and technical leaders pushing the boundaries of event-driven AI architecture.

Why Streaming Matters for Agentic AI

As AI agents move from prototypes to production systems that need to coordinate across services, handle real-time decision-making, and process continuous data streams, traditional request-response patterns break down. This event examines how streaming platforms like Kafka are becoming the message bus that connects autonomous agents, enabling event-driven architectures that support real-time RAG pipelines, multi-agent coordination, and continuous inference.

Featured Sessions & Speakers

Panel: The Future of Kafka + AI features Filip Yonov (Head of Streaming at Aiven), Sijie Guo (CEO of StreamNative), and Yingjun Wu (CEO of RisingWave) debating whether Kafka is truly becoming the default infrastructure for AI agents or if the hype is ahead of reality. The panel explores what "real-time" actually means in AI contexts and where this technology stack evolves over the next 2-3 years.

Sijie Guo presents "Streaming as the Backbone of Autonomous AI Agents," offering practical insights into event-driven agent architectures. When agents need to coordinate across systems, this talk examines the message bus patterns that enable reliable communication and real-time RAG implementations.

Yingjun Wu dives into "Designing Real-Time Systems for the Age of Agents," covering architecture patterns, real-time serving infrastructure, and event-driven design principles specifically adapted for agentic systems that demand immediate response and continuous processing.

Filip Yonov delivers a live demo in "Your Kafka Topics Already Know What They Are," demonstrating how Claude can diagnose production anomalies from raw Kafka topics in under 30 seconds—showcasing the intersection of LLMs and streaming observability.

Dima Kan (Product Director of Search at Aiven) explores "OpenSearch + AI: Building Smarter Search for the Agentic Era," going beyond basic retrieval to cover practical patterns for RAG

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