// AI NATIVE STACK

AI Native › AI Agent › Workflow Orchestration › Hatchet

CRASH COURSE · AI-NATIVE · beginner · 9 min read · v0.5

Hatchet.

workflowai-nativehatchetdurable-execution

TL;DR — Hatchet is a task and workflow engine for durable background jobs with retries, schedules, and visibility.

What it is

It helps run long-lived, failure-prone AI tasks reliably outside request/response paths.

Why it exists

Agent systems often need robust async execution and compensation logic. Hatchet covers that.

Install

pip install hatchet-sdk

Basic usage

# define workflow tasks
# run worker
# enqueue workflow job

When to use, when to skip

Use it when this category is a bottleneck in your agent stack and you want faster delivery with fewer custom components.

Skip it when your workload is tiny, requirements are fixed, or a plain provider SDK plus a few local functions is enough.

Alternatives

Compare with adjacent tools in the same AI Native category and choose based on interface style, deployment model (hosted vs self-hosted), and team familiarity.

Verified against project documentation, June 2026.

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