"Each request is treated in isolation, with limited ability to retain context or coordinate across steps. As a result, decisions made early in the process - such as venue selection - may be lost or contradicted when subsequent requests are made, such as catering arrangements, budgeting, or scheduling. The lack of integrated memory and role specialization makes it difficult to produce a coherent, reliable plan without significant human intervention."
"CrewAI is an open-source Python framework for building multi-agent AI systems. Instead of one AI trying to do everything, you define Agents which are nothing butspecialized AI workers with: A role (what they do best) A goal (what they need to achieve) Tools (APIs, data sources, scripts they can use) Then you organize these agents into Crews and run them through Processes or Flows that define how they work together."
Planning complex, multi-step projects with a single AI leads to fragmented, inconsistent results because each request is handled in isolation and earlier decisions can be lost. Overloaded prompts produce poor memory, conflicting outputs, and make scaling and debugging inefficient. CrewAI provides an open-source Python framework to compose multi-agent systems where Agents are specialized AI workers with defined roles, goals, and tools. Agents are grouped into Crews and executed through Processes or Flows to coordinate work, retain context, and reduce contradiction. The framework enables role specialization, integrated memory, and modular scaling to produce more coherent, reliable plans with less human intervention.
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