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Akka’s agentic platform makes it easier to orchestrate teams of AI agents and manage their memory and streaming processes, with support for sequential, parallel, hierarchical and human-in-the-loop workflows

July 15, 2025 //  by Finnovate

Distributed application development platform Akka, officially known as Lightbend is launching new Akka Agentic Platform that makes it easier to orchestrate teams of AI agents and manage their memory and streaming processes. Akka Agentic Platform features a range of new capabilities that aim to make the behavior of AI agents a bit more predictable. For instance, there’s an Akka Orchestration feature that helps developer teams to guide, moderate and control multi-agent systems, with support for sequential, parallel, hierarchical and human-in-the-loop workflows. Meanwhile, Akka Agents makes it possible to develop goal-directed AI agents and Model Context Protocol-based tools that can reason, act and analyze, and integrate with third-party agentic systems and applications. Another key component is Akka Memory, which allows developers to establish a durable, in-memory resource to aid with AI agent context, history retention and personalized behavior. It supports nanosecond writes and is designed to act as both long- and short-term memory, with replication features in case of any system failures. Finally, the platform includes an Akka Streaming capability for stream processing ambient, adaptive and real-time AI agents capable of continuously processing, aggregating and augmenting live data, video, audio and metrics. These data streams can be ingested from any source and fed into AI agents in real time, keeping them up to date with the world around them. The combination of these capabilities will bring “complete certainty” to AI agents, so they can achieve the required level of accuracy, safety, availability and recovery that’s needed to deploy them in production.

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Category: AI & Machine Economy, Innovation Topics

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