Build AI Agents That Observe, Reason, and Act in Real Time With Confluent
Streaming Agents cuts complexity with new capabilities to launch faster, iterate smarter, and scale securely
Building agentic AI is hard. AI agents power scalable generative AI (GenAI) adoption that drives business transformation, but many organizations face challenges with governance and data complexity. Connecting data is hard, failures are tough to troubleshoot, and brittle monoliths are unscalable. For enterprises, the stakes are even higher. They need systems that can respond in real time, yet most AI today can’t act on critical events without human intervention.
“With advancements in agentic AI and data processing automation, real-time data processing and streaming analytics capabilities are essential,” states the IDC MarketScape:
Streaming Agents makes building agentic AI easier. Streaming Agents brings the stream processing strengths of Apache Flink®—scale, low latency, and fault tolerance—together with agent capabilities like large language models (LLMs), tools, memory, and orchestration. Because Streaming Agents lives directly in event streams, it monitors the state of a business with the latest real-time data. This produces enterprise AI agents that can observe, decide, and act in real time, without stitching together disparate systems. Streaming Agents brings data processing and AI together in one place so teams can finally launch AI agents that are always-on and ready to act instantly.
“Today, most enterprise AI systems can’t respond automatically to important events happening in a business without someone prompting them first,” said
Simplify and Accelerate Agentic AI Adoption With Streaming Agents
Streaming Agents (available in Open Preview) enables organizations to build, deploy, and orchestrate event-driven AI agents directly on Confluent Cloud, unifying data processing and AI workflows. Streaming Agents takes this further with three new capabilities:
- Build agents faster. With Agent Definition, teams can build agent workflows using only a few lines of code that can be reused and tested to save time. Agents can take on complex tasks with iterative tool calling that can be optimized for better outputs.
- See what’s happening. The lack of visibility and testability is one of the biggest gaps in AI systems. Streaming Agents makes it easier for teams to jump in whenever testing, oversight, or approvals are needed. With built-in observability and debugging, developers can easily trace and replay every agent interaction and compare outcomes, enabling fast iteration, reliable testing, and debugging all in the same data infrastructure. This also creates a tamper-proof decision log that’s essential for security, trust, and compliance when deploying agents.
- Get contextualized, trustworthy data. Real-Time Context Engine, a fully managed service, delivers fresh context to Streaming Agents as well as to any other AI agent or application. Teams can reprocess their contextual data to improve and evolve their AI agents. Additionally, Real-Time Context Engine ensures that data meets compliance and security requirements with built-in authentication, role-based access control (RBAC), and audit logging.
Confluent Partners Solve AI’s Toughest Data Challenges
Streaming Agents can be built on major cloud providers
An open source version called Flink Agents is an Apache Flink project created from a joint collaboration between
To learn more about new Streaming Agents features, check out this launch blog. Confluent also announced its Real-Time Context Engine and Confluent Private Cloud. Read the press releases to learn more.
About Confluent
Confluent is the data streaming platform that is pioneering a fundamentally new category of data infrastructure that sets data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion—designed to be the intelligent connective tissue enabling real-time data from multiple sources to constantly stream across an organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital frontend customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io.
As our roadmap may change in the future, the features referred to here may change, may not be delivered on time, or may not be delivered at all. This information is not a commitment to deliver any functionality, and customers should make their purchasing decisions based on features that are currently available.
Confluent® and associated marks are trademarks or registered trademarks of
Apache®, Apache Flink®, and Flink® are registered trademarks of the
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