Akka Agents
Quickly create agents, MCP tools, and HTTP / gRPC APIs
Build agents with structure and purpose
Akka Agents follow a well-defined lifecycle — from gathering context to reasoning to taking action. This makes it easier to design, debug, and deploy agents that behave predictably and align with business goals.
Keep agents available and reliable
Akka Agents run as long-lived, distributed services that persist state and survive crashes. Akka ensures durable execution, seamless scaling, and fault-tolerance — so agents can operate continuously, even across infrastructure failures.
Production-ready by default
Akka Agents come with everything required to operate in real-world environments, including memory, workflows, observability, and elasticity. These capabilities are deeply integrated, so there’s no need to bolt on additional libraries or patch operational gaps.
Multi-agent collaboration
Akka Agents can communicate asynchronously, delegate tasks, and respond to each other’s progress, enabling complex goals to be achieved through distributed collaboration. This allows agents to work together dynamically, without centralized orchestration or tightly coupled logic.
Declarative agent lifecycle
Akka Agents enable developers to fully define agent behavior in just a few lines of code. The Akka runtime handles the full lifecycle, from provisioning and scaling to reasoning, acting, and evaluating progress. Each agent operates independently, with built-in support for real-time context gathering, post-action evaluation, and automatic scale-down. With execution fully delegated to Akka, developers can focus purely on agent behavior.

@ComponentId("my-agent")
public class MyAgent extends Agent {
public Effect<String> query(String question) {
return effects()
.systemMessage("You are a helpful agent...")
.userMessage(question)
.thenReply();
}
}
Agents in minutes

HTTP, gRPC and MCP endpoints
Intrinsic memory, prompts, and context


Native tool calling
Akka Agents expose local functions, external APIs, and remote Model Context Protocol (MCP) tools as callable functions to the LLM. The language model decides which tools to invoke and with what parameters, while the agent manages execution behind the scenes, handling timeouts, retries, and failures to ensure reliable operation even when external systems are slow or unreliable.
Dynamic prompt templates
Akka Agents support prompts that can be updated at runtime without requiring a restart or redeploy. Templates can be parameterized for flexibility and are versioned automatically, allowing teams to track changes, audit history, and adapt prompt behavior over time. This makes it easy to iterate, localize, or personalize agent behavior in production.
@ComponentId("activity-agent")
public class ActivityAgentWithTemplate extends Agent {
public Effect<String> query(String message) {
return effects()
.systemMessageFromTemplate("activity-agent-prompt")
.userMessage(message)//
.thenReply();
}
}
Part of the platform
Akka Agents are part of the Akka Agentic Platform, which provides everything needed to build, run, and evaluate agentic systems. This includes durable execution from Akka Orchestration, resilient state management from Akka Memory, and real-time data handling from Akka Streaming.
Agents can be deployed across regions, clouds, and edge environments, and are operated using Akka’s proven tools for scaling, failover, observability, and workflow management.

Additional resources

Building a real-time video AI service with Google Gemini

A blueprint for agentic AI services
