Architecture

Hermes Agent Architecture

Building Reliable Multi-Step AI Workflows in Production — Durable Execution, State Management, and Recovery

Por

Tenten AI Research

Systems Architecture

Publicado em

25 de janeiro de 2026

Tempo de leitura

23 min

Hermesdurable executionTemporalagent reliabilitystate management
Hermes Agent Architecture

Resumo

The canonical multi-agent tutorial shows an orchestrator spawning subagents, collecting results, and synthesizing a response. This works in demos. It fails in production when any of the following occur: a subagent hangs, the orchestrator crashes mid-execution, a tool call fails after partial side effects, the user needs to pause a multi-hour job, or the system needs to retry a failed step without re-doing completed work.

Durable execution is the solution to all of these problems. Temporal, Inngest, Cloudflare Workflows, and the Vercel Workflows system implement durable execution: the ability to run long-running workflows that survive process crashes, resume after failures, and checkpoint progress so completed work is never repeated.

The Hermes architecture is Tenten AI's production multi-agent pattern built on durable execution principles. This whitepaper describes the architecture, the design decisions behind it, and the specific failure modes it addresses.

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