Akka
Streaming
High-performance stream processing for ambient, adaptive, and real-time AI
Act on real-time data
Akka Streaming can continuously process data from sensors, audio, video, or messaging systems — enabling immediate, grounded actions in live environments.
Responsive, observable agents
Stream inputs drive real-time, responsive user experiences. Expose agent reasoning, intermediate steps, and tool responses as they happen.
Efficient at any scale
Akka Streaming ensures agents operate with bounded resource usage, even under heavy load or high-volume input. Flow control is integrated.
Continuous adaptation
Streaming data can be transformed and stored directly in Akka Memory or routed to other Akka agents, keeping data, context, and behavior aligned.

Stream processing with built-in flow control
Define rich data flows that filter, transform, aggregate, and route unbounded streams. Agents can continuously synthesize context from raw data such as structuring sensor input into insights.
Streaming automatically manages flow in both directions, slowing when agent’s can’t keep up and protecting consumers when input rates spike. Agents stay responsive and resilient under pressure, even when processing high-frequency events or bursts of user input.
Flexible data sources


Brokerless, decentralized messaging
Part of the platform
Akka Streaming is part of the Akka Agentic Platform, which provides everything needed to build, run, and evaluate agentic systems. This includes structured, goal-directed agents with Akka Agents, durable execution with Akka Orchestration, and resilient state management with Akka Memory.
Akka Streaming delivers real-time data handling with built-in flow control, scaling, and seamless integration across the platform.

Additional resources

Building a real-time video AI service with Google Gemini

A blueprint for agentic AI services
