Long-Running Workflows
This hub covers long-running workflows — durable execution engines, human-in-the-loop approval, and the workflow and orchestration architecture that keeps stateful AI agents and processes running for hours or days without losing their place.
Articles
0 of 10 publishedLong-Running Workflows for AI Agents: Durable Execution, Orchestration & Governed Approval
How durable execution, orchestration, and human approval come together to keep long-running agent workflows alive.
What Is Durable Execution? A Guide for Long-Running AI Agent Workflows
How a durable-execution engine keeps a workflow alive across crashes, deploys, and days of waiting.
Durable Functions Explained: Azure, AWS, and the AI Agent Alternative
Comparing Azure Durable Functions, AWS Step Functions, and purpose-built durable execution for AI agents.
Temporal vs. WSO2: Comparing Durable Execution Approaches for AI Agents
Two different approaches to durable execution for long-running, stateful agent workloads.
How LangGraph Handles Durable Execution (and What It Means for Your Architecture)
What LangGraph does for durability, and where it hands off to your own infrastructure.
Human-in-the-Loop AI Agents: Approval Workflows That Resume Instead of Restart
Designing approval steps that pause an agent mid-workflow and resume it exactly where it left off.
What Is Human-in-the-Loop AI? A Practical Guide
A practical introduction to pausing AI-driven work for a human decision, and resuming it durably.
AI Agent Orchestration: Coordinating Multi-Step, Multi-Agent Workflows
Coordinating multi-step, multi-agent work reliably as workflows grow longer and more stateful.
Workflow Engines Compared: Why Architecture Matters for Long-Running AI Agents
Evaluation criteria for a workflow engine that needs to run for hours, days, or weeks.
Durable Streams and the Future of Long-Running AI Workflows
Why streaming output needs its own durability story once a workflow can run for days.
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