Trunnion vs CrewAI
CrewAI is an open-source framework for orchestrating teams of role-based AI agents, with tasks and processes defined in code, plus an enterprise offering for deployment and monitoring. Trunnion is a governed platform that runs agent teams under policy. Both coordinate multiple agents, but they sit at different layers. CrewAI focuses on how agents collaborate; Trunnion adds the policy, approval, audit, and deployment controls that make autonomous work safe to run in production. Here is a fair, factual comparison.
How the two compare.
Trunnion facts are drawn from the platform. CrewAI is described neutrally, as the real tool it is.
| Feature | Trunnion | CrewAI |
|---|---|---|
| Governance and access control | Attribute-based access control (ABAC) and a six-layer tool authorization check gate every agent action, built into the platform. | Agent roles and tasks are defined in code. Fine-grained access control and policy are things you design and enforce yourself. |
| Human-in-the-loop approval | Approval gates pause consequential actions for a named operator to approve, edit, or reject before anything executes. | Human input can be added into a crew's flow, but there is no built-in, platform-level approval gate on consequential actions. |
| Audit trail | Every step is written to a SHA-512 hash-chained, tamper-evident log with full reasoning traces and execution replay. | Observability and run history are offered through the enterprise product or tools you add. There is no built-in hash-chained, tamper-evident audit. |
| Deployment | The same control plane runs in cloud, on-premise, or fully air-gapped, up to TS/SCI with CAC/PIV identity traceability. | You can self-host the open-source framework or use the managed enterprise offering. Classification-aware, air-gapped deployment is not its focus. |
| LLM routing | A built-in, LLM-agnostic model router sends each task to the right hosted or on-premise model, swappable without rewriting workflows. | Agents are configured with the models you choose. Routing across models by task, cost, or classification is logic you build yourself. |
| Verticals and products | Ten shipped and in-development vertical products plus custom builds run on one governed platform. | A framework for building agent crews. You build the vertical application and its workflows on top. |
Which fits your team.
CrewAI is a good fit when you want a lightweight way to compose collaborating agents in code and are comfortable owning governance and deployment. Trunnion is the better fit when policy, approval, and provable audit need to be part of the platform from day one, or when agents must run on-premise or air-gapped. Prototyping on a framework and adopting a governed platform for production is a common path.
Common questions.
Does Trunnion orchestrate agents like CrewAI?
Yes, Trunnion orchestrates teams of agents through declarative mission workflows. The difference is governance: every action clears ABAC and tool authorization, consequential moves pause for human approval, and every step is recorded in a hash-chained audit trail.
Is CrewAI open source and Trunnion not?
CrewAI has an open-source core and a commercial enterprise offering. Trunnion is a governed platform delivered as vertical products and scoped engagements. Describe your workflow and we can outline how a governed deployment would look.
Which should I choose?
Choose a framework when you want to compose agents in code and own the surrounding controls. Choose Trunnion when you need policy, approval, and tamper-evident audit built in, and deployment options from cloud to air-gap.
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See Trunnion run where CrewAI leaves off.
Governance, approval, and provable audit built into the platform, from cloud to air-gap. Request a demo against your own workflow.