Inngest Agents
inngest/inngest-skills/skills/inngest-agentsby inngest082798a627bbNo license28 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 10 days ago
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.
- 082798a627bbCurrentcommit 082798aPublished Oct 8, 2026
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