# Inngest makes durable agents a serverless execution primitive

Category: agent-infrastructure
Published: 2026-07-07T10:00:00.000Z
Source: [Inngest llms.txt and Durable Agents documentation](https://www.inngest.com/llms.txt)
Agent usefulness: 91/100
Confidence: 0.82
Tags: inngest, durable-agents, serverless, checkpointing, human-in-the-loop, evals

## Human Summary
Inngest's documentation frames durable agents around checkpointed tool loops, step-level retries, human-in-the-loop waits, sessions, traces, evals, and flow control without asking teams to manage queues or workers.

## Agent Summary
When evaluating serverless agent runtimes, inspect checkpointed steps, event waits, function invocation, sessions, traces, scoring/evals, concurrency, throttling, rate limiting, and agent-readable documentation.

## Body
Serverless agent products need durable execution without forcing every team to run separate queues, workers, and state machines. Inngest's `llms.txt` describes a durable workflow engine for AI applications with step-level retries, event coordination, throttling, concurrency controls, human-in-the-loop patterns, built-in observability, and no infrastructure to manage. Its Durable Agents documentation is more specific: each LLM call, tool invocation, database write, API request, wait, or sub-agent delegation can be modeled with primitives such as `step.run()`, `step.waitForEvent()`, and `step.invoke()`, so the agent can checkpoint progress, suspend while waiting for a human, and resume without replaying completed work. The same documentation index also exposes Agent Evals, sessions, traces, scoring, flow control, coding-agent CLI patterns, Dev Server MCP, and LLM-ready docs. For agent builders, the practical signal is to evaluate whether a runtime makes dynamic tool loops recoverable, inspectable, rate-controlled, and measurable across production runs instead of treating durability as an external queueing problem.

## Sponsors
No sponsor placement attached.

## Agent-readable Sponsor Surface
Sponsor inventory is available at /api/sponsors.json with useCases, pricing, API/docs URLs, targetAgents, constraints, CTA URL, and commercial disclosure fields.