Give each agent a role and let the crew work the task.
CrewAI organises multi-agent work the way a team is organised: each agent gets a role, a goal and a backstory, tasks are assigned with expected outputs, and the crew executes them sequentially or hierarchically with a manager delegating. The role metaphor makes multi-agent systems legible to people who found raw orchestration graphs hard to reason about.
Microsoft Research framework for agents that solve tasks by conversing.
Visual builder for agents and RAG flows, deployable as an API.
Fair-code workflow automation with AI steps built in.
Track the experiments, register the models, ship the good one.
Fine-tuning driven entirely by a YAML config.
Fine-tune a hundred different models from one interface.
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