AXMEAXME

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Step Functions keeps you in AWS. AXME works everywhere.

SDK-first intents vs JSON ASL — payload limits, portability, and native human gates for agents.

Compare AXME Cloud and AWS Step Functions.

Comparisons on this page describe typical product capabilities and common deployment patterns. They are not legal advice or guarantees of fitness for your environment. Validate claims with your security, compliance, and legal teams before production decisions.

AWS Step Functions is the default choice inside AWS for state machines. AXME is for teams that need SDK-first authoring, larger payloads, cloud portability, and agent-native human gates — without JSON ASL.

When AWS Step Functions is the right choice

Stay on Step Functions when workflows are already encoded in ASL, tightly coupled to AWS services (Lambda, SNS, DynamoDB), and your organization standardizes on AWS-only deployment with existing runbooks.

When AXME is the right choice

Choose AXME for cloud-agnostic agent workflows, Python/TypeScript SDKs, payloads above 256KB, native HITL, and the same intent model across AWS, GCP, Azure, or on-prem agents.

Compare authoring ergonomics, payload limits, portability, and agent fit — not just state machine features. Step Functions task tokens for humans are flexible but verbose; AXME models humans as first-class intent waits.

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AXME vs AWS Step Functions

Feature-by-feature for architecture and procurement reviews.

CapabilityAWS Step FunctionsAXME

Authoring experience

How engineers define workflows.

JSON Amazon States Language (ASL) in console or IaC
Python / TypeScript SDK — code-first intents

Payload limits

Large documents, model outputs, attachments.

256KB per state — workarounds via S3 pointers
Reference payloads — no 256KB state cap

Portability

Multi-cloud and on-prem agents.

AWS regions and accounts — vendor-bound
Cloud-agnostic AXME Cloud deployment

Human-in-the-loop

Approval tasks in agent workflows.

Task tokens and callback URLs — more wiring
Native wait_for_human patterns

AI agent fit

LLM steps, tool use, multi-agent handoff.

Generic state machine — agent semantics are DIY
Intent model built for agent-era workflows

Observability & audit

Cross-service forensics.

CloudWatch + execution history — AWS-scoped
Intent audit + Mesh fleet view

JSON ASL vs AXME SDK

Step Functions

{
  "StartAt": "Approve",
  "States": {
    "Approve": {
      "Type": "Task",
      "Resource": "arn:aws:states:::lambda:invoke.waitForTaskToken",
      ...
    }
  }
}

AXME

intent = await axme.submit(approval_flow)
await intent.wait_for_human(
  task="manager_signoff", assignee=manager_arn
)
await intent.complete()

Escape vendor lock-in

Step Functions ties orchestration to AWS regions and ASL. AXME runs wherever your agents and services deploy — one intent model for hybrid and multi-cloud.

MIGRATION

A phased path off AWS Step Functions

Parallel running before you retire the old system.

1. Inventory

List state machines with human tasks and payload-heavy steps.

2. New on AXME

Route net-new agent workflows to intents first.

3. Strangler

Replace high-churn flows; keep stable ASL machines temporarily.

4. Retire ASL

Decommission migrated machines after audit parity.

Learn more →

AWS Step Functions vs AXME — common questions

Is AXME available outside AWS?
Yes — deploy AXME Cloud in the cloud you choose; agents call the same SDK.
What about payload limits?
AXME uses reference payloads for large model outputs — no 256KB state object cap.
Can Lambda still run steps?
Yes. Tools and agents invoke Lambdas; AXME owns durable waits and HITL between steps.
How do we migrate?
See /migrate/from-step-functions/ for ASL → intent mapping and phased cutover.

Related capabilities

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