Unleash Real-Time Agentic AI with Streaming Agents on Confluent Cloud and Onibex

We’re thrilled to be partnered with Confluent today as they announce the new features for Streaming Agents on Confluent Cloud and a new Real-Time Context Engine. Unifying data processing and agentic AI workflows, Streaming Agents enable developers to build, deploy, and orchestrate event-driven agents using fully managed Apache Flink® and Apache Kafka® on a unified platform. Today’s new capabilities take this further by helping teams build trustworthy agents faster and more easily, gain enhanced observability, and improve AI decision-making with real-time context.  

As a Confluent Partner, we see firsthand why the introduction of Streaming Agents was so critical. At its core, every AI problem is a data problem. When data is stale, incomplete, or inaccessible, even the most sophisticated agents and Large Language Models (LLMs) can't deliver reliable results.  

This is exactly what the market demanded: a solution for building scalable multi-agent systems that are event-driven, replayable, and grounded in fresh, contextualized data. Developers needed a single platform that didn't just provide isolated tools, but one that enabled them to easily source data, reliably move from  prototype to production, and gain the necessary observability to debug, evaluate, and iterate on what's actually happening inside their agents. 

Streaming Agents Power Intelligent, Context-Aware Automation 

Embedded in data streams with access to the latest, most complete and accurate view of operational events, Streaming Agents effectively act as the eyes and ears of the business. They’re designed to handle high-volume real-time data and evolving context, making them ideal for enterprise use cases where fresh information, accuracy, and observability are critical. By continuously monitoring data streams and using context from diverse sources, Streaming Agents can make intelligent, informed decisions and automate actions that drive better outcomes.