Akka, provider of a popular framework for building reactive, distributed applications on the JVM, has introduced the Akka Agentic Platform, an integrated suite of offerings for building, operating, and evaluating agentic AI systems.
Announced July 14, Akka Agentic Platform includes capabilities for orchestrating long-running systems, building agents, providing in-memory context to agents, and providing high-performance stream processing. “These integrated offerings deliver 3x the velocity, 1/3rd the compute, and any SLA for every agentic system whether autonomous, adaptive, real-time, transactional or edge,” Akka CEO Tyler Jewel said in the announcement.
In explaining the needs the platform is intended to fill, Jewel said the prospect of uncertainty in agentic AI challenges how IT systems are designed and maintained. Unlike traditional deterministic systems, agentic AI introduces emergent behaviors, non-deterministic decision-making, and context-sensitive reasoning. All of these bring new dimensions of unpredictability into enterprise environments, limiting the ability to deploy these systems for large-scale, business-critical use cases, Jewel stressed.
