Inngest orchestrates AI agents and backend workflows with enterprise-grade reliability and scalability. It handles complex agentic workflows, long-running processes, retries, recovery, throttling, batching, and prioritization. Workflows run anywhere from any trigger and deploy to any cloud provider in one click. Observability provides live traces and metrics for AI workflows. Features include step.ai.infer for secure offloading of inference requests, reducing serverless compute costs while tracking requests and responses. Dev Server enables local debugging of agentic workflows. Checkpointing supports near-zero latency durable execution for real-time workflows.
Traceability for multi-step AI agents with built-in timeouts and retries
Code focuses on business logic without infrastructure management
Handles retries, state management, observability, and concurrent execution for agent orchestration
Coordinates services as orchestration hub for processing events and tracking state
Requires integration with Inngest SDK for workflow definitions
Depends on event triggers and webhooks for execution
Observability tied to Inngest traces, not standalone
