CrewAI is an enterprise multi-agent platform for building, governing, and optimizing AI agents with no-code and code-first tools.
CrewAI is an enterprise multi-agent build and runtime platform. It gives business teams and engineers a shared environment to design complex operational agents—either through a prompt- and canvas-based visual builder (exportable to Python) or a code-first API. Role-based agents can be orchestrated into deterministic workflows and longer-horizon tasks.
A central Control Plane adds observability, RBAC, audit trails, and runtime hooks for PII redaction and policy checks, while human-in-the-loop approval gates keep people in control. Intended for organizations moving from pilots to production, CrewAI also offers discovery from historical data and automated evaluation to improve agent accuracy.
You can build complex operational agents that automate long-horizon work, using role-based agents that separate and simplify orchestration. Workflows can be deterministic and are guided by hundreds of thousands of agent workflow patterns.
Yes, there is a no-code visual editor with a prompt and canvas style builder. You can export your work to Python if you later need code-level control.
CrewAI’s Control Plane provides real-time tracing of LLM calls, tool calls, and memory reads with full cost accounting. It also includes RBAC, audit trails, Enterprise IAM, runtime hooks for PII redaction and policy checks, and human-in-the-loop approval gates.
CrewAI uses production runs as training data for automated and human-guided training. It also supports multi-LLM testing for model swapping at runtime and native evaluation integrations with Arize, Galileo, DataDog, and Patronus.
Discovery is a feature that analyzes your tickets, chats, apps, and workflows to surface automation opportunities ranked by effort, value, and readiness. It includes an agentic use case generator and interactive suggestions.
CrewAI supports multi-LLM testing and model swapping at runtime, allowing you to find the right model for each workflow. The specific providers are not listed on the public website, but the platform is designed for flexibility across models.
CrewAI integrates with evaluation platforms like Arize, Galileo, DataDog, and Patronus. The website does not provide a full list of connectors, but the platform includes runtime hooks that can interact with external systems for policy checks and PII redaction.
No, the visual builder allows non-technical users to create agents. However, developers can use the code-first API for more control and customization.
Yes, CrewAI is designed for enterprise use, with governance features like RBAC, audit trails, and human-in-the-loop controls. It is used by a significant portion of the Fortune 500, according to the website.
