COMPARE
CrewAI builds your crew. AXME runs them safely in production.
Keep your crews. Add durability, approvals, cost caps, and fleet monitoring for production runs.
CrewAI and AXME work together.
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.
CrewAI helps you define multi-agent crews — roles, tasks, and delegation. AXME is how those crews run safely in production with durability, approvals, and fleet oversight.
What CrewAI does
CrewAI focuses on authoring crews: agents with roles, sequential or hierarchical tasks, and kickoff() to run a crew in a process. It is ideal for prototyping multi-agent collaboration and experimenting with task decomposition.
What AXME adds on top
AXME wraps crew runs in durable intents — queuing, human approval before high-risk tasks, cost caps, kill switch, and tamper-evident audit. When kickoff() is not enough for production, AXME is the control plane around the crew.
Keep crew definitions in CrewAI. Submit an AXME intent before kickoff, route approval tasks through wait_for_human, and attach Mesh policies when multiple crews run concurrently. The CrewAI integration page shows wrap() patterns.
COMPARE
CrewAI + AXME — complementary layers
Framework for reasoning; AXME for production lifecycle.
| Capability | CrewAI | AXME |
|---|---|---|
Crew definition Roles, tasks, and delegation between agents. | Core strength — multi-agent crews and kickoff | ✓Wrap crews — keep CrewAI task model |
Run durability Survives process restarts and deploys. | In-memory kickoff unless you add external state | ✓Durable intent per crew run with lifecycle policies |
Human-in-the-loop Approvals before high-risk crew actions. | Custom hooks or manual pauses | ✓Native gates on the wrapping intent |
Cost & safety Token spend and rogue crew containment. | Not built in — dashboards and limits are DIY | ✓Mesh caps, kill switch, policy enforcement |
Audit trail Evidence per crew task and tool call. | Console logs unless you export to your stack | ✓Intent transitions tied to crew execution |
Production operations Running many crews across environments. | Single-run focus — scale ops separately | ✓Fleet dashboard + delivery modes |
PATTERNS
How teams wire them together.
Production crew run
CrewAI
result = crew.kickoff() # in-memory; no durable wait or fleet audit
CrewAI + AXME
intent = await axme.integrations.crewai.wrap(crew) await intent.wait_for_human(task="approve_spend", assignee="ops") result = await intent.kickoff()
PRODUCTION CHECKLIST
Before you call it shipped.
Durability
Crew state survives process restarts when backed by intents.
Cost caps
Mesh enforces token and tool budgets per crew or tenant.
Learn more →Compliance
Audit trail ties crew tasks to intent transitions.
Learn more →Containment
Rogue agent use case patterns map directly to Mesh policies.
Learn more →CrewAI + AXME FAQ
- Do I rewrite crews in AXME?
- No. Keep CrewAI task definitions; AXME wraps execution and governance.
- Can humans approve individual tasks?
- Yes — wait_for_human with task names matching crew stages.
- How does Mesh interact with CrewAI?
- Mesh observes intents created by wrapped crews and applies fleet-wide policies.
- Is CrewAI required?
- No. AXME orchestrates any agent runtime; CrewAI is one supported integration.
Related capabilities
Next steps
Ship your first durable agent — in under 10 minutes.
Free tier. No credit card. Self-host or hosted — your choice.