Multi-agent workflows coordinate multiple autonomous agents (AI models, bots, or humans) to complete distributed tasks. Key characteristics include decentralization, coordination, autonomy, interdependency, and state management. Temporal provides orchestration capabilities for these workflows without requiring framework-specific code, offering stateful coordination, reliable async communication, parallel processing, and event-driven triggers. The platform handles complex interactions between agents while maintaining workflow state and ensuring resilience through retries and error handling.
Table of contents
1. Orchestrating Multi-Agent Interactions #2. Stateful Coordination Across Agents #3. Reliable Async Communication #4. Parallel Processing for High Efficiency #5. Long-Running Workflows with Multi-Step Processes #6. Event-Driven Triggers and Signals #Practical Example: A Multi-Agent Workflow for Customer Support #In summary #Sort: