inngest-agents

Use when building durable AI agents or agentic workflows with Inngest and AgentKit, including model calls, tool calls, multi-agent networks, human approval, realtime progress, provider rate limits, crash-safe execution, and Agent Evals handoff. Covers AgentKit, step.ai, step.run, step.waitForEvent, native realtime, and when to use lower-level Inngest primitives instead of an in-memory agent loop. Use inngest-agent-evals with this skill when the user wants scoring, sessions, experiments, deferred scorers, or outcome-based evaluation for the agent.