Time: 2–3 PM
Room: GDC 6.302
Speaker: David B. Shabat, Vice President - Research and Development, Quali

Abstract. Modern intelligent agent systems rely on efficient, robust coordination to handle complex, asynchronous interactions and long-running processes. Traditional synchronous communication methods and centralized databases often create bottlenecks and points of failure, hindering system scalability and agent communication quality.

This overview introduces a system architecture that leverages the Actor Model and the Saga design pattern to build highly resilient, high-throughput agent-to-agent communication platforms. We address the challenges of managing state and ensuring data consistency across multiple, independent services during extended operations (e.g., multi-step negotiations, task handoffs). The Actor Model serves as the foundational computational paradigm, providing isolated, concurrent units of behavior and state that communicate exclusively via asynchronous message passing. This inherently distributed approach eliminates shared memory conflicts and enables massive parallelization of agent interactions.

To manage the complexity of distributed transactions within this model, we implement the Saga pattern. A saga is modeled as a sequence of local transactions, coordinated by a dedicated “orchestrator” actor. This orchestrator manages the global state of the long-running process and utilizes compensating transactions to ensure eventual consistency and robust failure recovery without requiring cumbersome two-phase commits.

This session will provide an industry-oriented abstract view of:

• The Actor Model in practice: How asynchronous messaging and actor isolation improve communication efficiency and system responsiveness.
• Saga implementation: Using orchestrator actors to define and manage complex, multi-agent workflows.
• Resilience and state management: Techniques for persisting actor state to survive failures and guarantee process completion.