What problem does it solve?
This skill solves the fragility of standard AI agent loops by providing a framework for durable, long-running workflows that survive server restarts, API failures, and complex multi-step processes.
Core Features & Use Cases
- Durable Execution: Ensures agent state, tool calls, and model inferences are persisted, allowing workflows to resume after crashes or timeouts.
- Human-in-the-Loop: Integrates native support for pausing execution to wait for human approval or external signals.
- Realtime Progress: Streams agent status and progress updates directly to the UI from within the durable workflow.
- Use Case: Build a support agent that processes tickets, calls external tools to check database status, waits for a manager's approval via email, and then sends a final response, all without losing state if the server deploys mid-process.
Quick Start
Use the inngest-agents skill to architect a new durable support agent that includes a human-in-the-loop approval step and tool-calling capabilities.