Last October, we described DeltaStream as the Real-Time Context Engine for GenAI agents and applications. At the time, that idea was slightly ahead of where the market stood. Agents were exciting, but still early, more promise than production. Many were clever prompt orchestrations, loosely connected to data, operating in environments that changed far faster than the agents themselves could understand.

Over the course of 2025, that changed.

Agents matured. They moved out of demos and into real systems. They began monitoring infrastructure, defending security perimeters, responding to customers, and coordinating actions across services. And as that shift happened, one thing became impossible to ignore: agents cannot function without real-time context. Not eventually. Not approximately. But continuously and reliably.

In 2026, we are making our focus unmistakably clear.
DeltaStream is THE Real-Time Context Engine for Agents.

As agents grow more capable, their limitations become more obvious. A modern agent is expected to observe the world, reason about what it sees, and act, often repeatedly, and often under tight time constraints. Yet most agent systems are still fed by data architectures designed for a slower era: batch pipelines, periodic refreshes, cached snapshots, and brittle glue code that tries to simulate “freshness.”

This works only until it doesn’t.

The moment an agent needs to understand what is happening right now, what has changed in the last few seconds or minutes, how signals are evolving, how multiple streams of events relateto one another, the entire system starts to break down. Latency becomes uncertainty. Stale context becomes incorrect decisions. And incorrect decisions, when agents are acting autonomously, quickly become expensive or dangerous.

This is not a tooling gap. It is an architectural one.

DeltaStream exists because this problem was inevitable.

Long before agents became mainstream, DeltaStream focused on a simple but powerful idea: real-time intelligence should be continuous, stateful, and easy to consume. Instead of forcing developers to stitch together streaming systems, databases, caches, and batch pipelines, DeltaStream made it possible to define streaming logic once, maintain live state automatically, and serve that state instantly as real-time materialized views. These real-time contexts are automatically available to agents through DeltaStream’s built-in MCP server! DeltaStream also enforces governance and access control to all contexts exposed to agents!

Under the hood, DeltaStream is built on technologies that were designed for scale and correctness, not demos. It leverages Apache Flink for continuous, stateful stream processing, ClickHouse for fast analytical queries over live materialized views, and integrates deeply with batch systems like Apache Iceberg through Apache Spark. What makes this combination powerful is not the individual components, but how they are unified into a single platform for building, serving, and maintaining real-time context.

As agents matured in 2025, it became clear that this architecture maps perfectly to what agents actually need.

Consider a SOC agent responsible for detecting and responding to security threats. On paper, the task seems straightforward: analyze alerts and anomalies and decide what to do. In reality, none of those alerts mean anything in isolation. A failed login attempt is noise. A spike in API traffic is noise. A firewall event, by itself, is noise.

The agent’s job is to understand context: how those events relate over time, whether similar activity is happening elsewhere, how current behavior compares to normal behavior, and whether a pattern is emerging right now, not an hour from now, not after a batch job completes.

Without real-time context, the agent cannot do its job. It either underreacts and misses real threats, or overreacts and overwhelms humans with false positives. In both cases, the agent appears “intelligent,” but behaves unpredictably and unreliably.

When that same agent uses DeltaStream as its context engine, something fundamental changes. The agent no longer asks for raw events; it queries live, continuously maintained context. Rolling windows of activity, correlated signals across systems, historical baselines fused with streaming data, all of this is already computed, already current, and available in milliseconds. The agent reasons over state, not chaos. And because that state is continuously updated, every decision reflects the world as it actually is.

This is the difference between an agent that looks impressive and one that actually works.

What makes DeltaStream especially powerful in this moment is that it removes the friction that has historically made real-time systems hard to adopt. Building streaming pipelines no longer requires specialized teams or months of engineering. Serving real-time context does not require custom services or fragile caches. Batch and streaming data no longer live in separate worlds. Developers define what context agents need, and DeltaStream continuously keeps it correct.

The result is a system that is not only faster, but simpler and dramatically more cost-effective. Context is computed once and reused across agents. Access is governed and agents only see the context that they are supposed to see and nothing more! Infrastructure scales predictably as agents multiply. Teams ship sooner, operate more reliably, and spend far less time maintaining plumbing that has nothing to do with their core product.

For agent teams, the ROI is immediate and compounding.

As we look forward, the agent stack is becoming clearer. Agents will reason. Models will generate. Tools will act. But real-time context must come from somewhere, and it must come from a system designed to deliver it continuously, accurately, and at scale.

In the same way databases became fundamental to applications and stream processors became fundamental to real-time systems, real-time context engines are becoming fundamental to agents.

That is the role DeltaStream is stepping fully into.

In 2026, our mission is to
make DeltaStream the default real-time context engine for AI agents.

If you are building agents that need to understand the world as it changes, if correctness, speed, and cost matter, then DeltaStream is not just a good fit.

It is the missing foundation.

DeltaStream is THE Real-Time Context Engine for Agents.

Let us show how easy you can bring real-time context to your agents, try DeltaStream here!

This blog was written by the author with assistance from AI to help with outlining, drafting, or editing.