Hermes Agent Architecture
Building Reliable Multi-Step AI Workflows in Production — Durable Execution, State Management, and Recovery
بقلم
Tenten AI Research
Systems Architecture
تاريخ النشر
25 يناير 2026
وقت القراءة
23 min

الملخص
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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