Multi-agent scripts vs an agent operating system
CrewAI orchestrates role-based agent crews in Python. AGNT gives multi-agent work a full runtime: visual orchestration, memory, a tool vault, receipts, and a marketplace of reusable parts.
Where they differ
Python library vs local OS
CrewAI lives inside your codebase; AGNT is the environment your agents live in.
Roles vs jobs
CrewAI defines agent personas in code; AGNT assigns agents real jobs with tools, gates and verification.
Reuse
Crew definitions stay in your repo; AGNT agents, workflows and skills install from a marketplace.
Verification
CrewAI leaves auditing to you; AGNT produces receipts for every operation.
Which should you pick?
Choose CrewAI if
You are prototyping multi-agent patterns in Python and want a lightweight library.
Choose AGNT if
You want multi-agent operations with memory, tooling and audit built in — running on your own machine.
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