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. 

Asa 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. 

Thisis exactly what the market demanded: a solution for building scalablemulti-agent systems that are event-driven, replayable, and groundedin fresh, contextualized data. Developers needed a single platformthat didn't just provide isolated tools, but one that enabled them toeasily source data, reliably move from prototype to production, andgain the necessary observability to debug, evaluate, and iterate onwhat'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 stream sand using context from diverse sources, Streaming Agents can make intelligent, informed decisions and automate actions that drive better outcomes. 

High-value use cases include:

• Real-time fraud prevention – Continuously ingest and process transaction data, detect anomalies, and automatically block suspicious activity. 
• Dynamic customer support – Pull live context from CRM systems, chat interactions, and knowledge bases to deliver in-the-moment personalized and accurate responses. 
• Intelligent supply chain optimization – Track inventory, shipments, and demand signals in real time, automatically reordering stock, rerouting shipments, or adjusting production schedules based on live conditions.
• Real-time retail personalization – Continuously stream customer interactions, inventory data, and pricing signals to deliver context-aware offers and product recommendations that adapt instantly to shopper behavior.
• Adaptive content delivery for media & entertainment – Ingest live viewer engagement, trending topics, and contextual signals to dynamically tailor content recommendations and ad placements in real time across platforms. 

What’s New in the Q4’25 Release:

With Streaming Agents, every engineer can use familiar Flink APIs to build secure and trustworthy agents, with native support for Model Inference, Tool Calling with MCP, Embeddings for RAG, Built-in ML Functions, External Tables and Search, and Connections. Confluent is continuing to expand on these capabilities and deliver more streamlined developer experiences.

• Agent Definition – Quickly build agents in just a few lines of code and unlock more sophisticated tasks with better outcomes by iteratively evaluating and adapting tool calling. 
• Observability and Debugging – Gain visibility into all agent actions, easily diagnose issues to accelerate resolution, and reliably recover from failure.  
• Real-Time Context Engine – Using MCP, serve fresh context to Streaming Agents as well as any other AI agent and application to improve decision-making and the quality of outputs. 

Get Started with Streaming Agents

Ready to build your first agent in minutes? 

Bybringing data processing and AI workflows together, Streaming Agentsmake it easier than ever to build intelligent agents that areevent-driven, observable, and context-aware. Keep and get more out ofyour AI stack by seamlessly integrating Streaming Agents with anydata system, model and tool using familiar Flink APIs on top of asecure, governed data streaming platform.

To learn more about how Streaming Agents can help your organization build intelligent, context-aware applications powered by real-time data, contact us at info@psyncopate.com. 

Learn more about Confluent’s Streaming Agents and try the Streaming Agents Quick start. 

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