AXME CLOUD
Run operations that finish later — without polling, webhooks, or Temporal's complexity
Polling loops, webhook glue, scattered retry logic — engineers spend weeks building reliability infrastructure that should come out of the box.
AXME's durable execution model gives every intent a full lifecycle: submitted, processing, waiting, completed.
Submit once, complete later
Durable execution means work can pause for humans, APIs, or other agents — then resume after crashes, deploys, or days of delay.
Most teams start with while-not-done polling or a webhook per async step. Each new workflow copies retry backoff, idempotency keys, and state tables — diverging until nobody trusts the glue code.
AXME Cloud models every unit of work as an intent with a full lifecycle: submitted, processing, waiting, completed, or failed. Retries, timeouts, delivery guarantees, and audit logging attach to the intent — not to your agent's process memory.
That lets LangGraph, CrewAI, OpenAI Agents, or your own runtime submit work once and trust the fabric to hold state until the world is ready. Pair with durable waiting states for human and tool delays, and delivery modes for how clients observe progress.
Intent lifecycle
200 lines of DIY → 3 lines of AXME
Polling + webhooks
while not done:
status = poll_api(job_id)
if status == "timeout":
retry_with_backoff()
sleep(30)AXME Cloud
intent = await axme.submit(workflow, payload) await intent.wait_for_human(task="approve") result = await intent.complete()
CAPABILITIES
Delivery guarantees built in.
No extra middleware.
Automatic retries
Configurable backoff and dead-letter handling.
Durable waiting
Human and tool waits survive restarts.
Learn more →Delivery modes
Stream, poll, push, inbox, internal.
Learn more →Audit trail
Every transition logged.
Learn more →Minimal durable workflow
intent = await axme.submit("quarterly-report", payload)
await intent.wait_for_human(
task="review", assignee="cfo@company.com", timeout="48h"
)
await intent.complete(send_to_board=True)Not the same as a job queue
Queues move messages. Intents carry lifecycle, human gates, multi-agent handoffs, and compliance-grade audit — designed for agentic workflows, not only background jobs.
Common questions
- Do I need deterministic code like Temporal?
- No. AXME tracks state at the intent level — LLMs, randomness, and external I/O run in your agent without replay constraints.
- How does replay work?
- Recovery resumes from the last durable intent state — not by re-executing every line of workflow code.
- What happens on failure?
- Failed intents retain context for inspection, retry, or human escalation with full audit history.
- Can I migrate from Temporal or webhooks?
- Yes — see /migrate/from-temporal/ and /migrate/from-webhooks/ for phased paths.
Related reading
Deeper dives from the AXME blog.
Your AI Agent Crashed at Step 47. Now What?
AI agents do multi-step work. They crash. The state is gone. Here's how to make agent operations durable without writing checkpoint code.
Read post →Your AI Agent Crashed at Step 47. Why Isn't Crash Recovery the Default?
Your agent ran 47 steps of a 50-step pipeline. Then it crashed. The state is gone. Every framework says you should have configured checkpointing. Why isn't durability built in?
Read post →I Stopped Building Webhook Retry Logic. Here's What I Use Instead.
Exponential backoff, jitter, dead letter queues, idempotency keys, HMAC verification - all to deliver one message reliably. There are better options now.
Read post →
Related Cloud features
Related links
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