CrewAI

Founded by João Moura in 2023

Build and run autonomous multi-agent workflows using visual canvases or Python code

Pricing model

Free Trial, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use CrewAI to design, deploy, and manage teams of autonomous AI agents that work together on multi-step business tasks. It lets engineers and non-technical staff set up role-based agents using a visual drag-and-drop canvas or Python code. The system monitors live agent runs, tracking every LLM call, tool execution, and memory query for compliance and cost auditing. It also identifies automation opportunities from existing work patterns, supports human-in-the-loop approvals, and allows swapping different language models to test accuracy and reduce operating expenses.

What CrewAI does

Build multi-agent workflows using a visual canvas or codeMonitor LLM token usage and execution costs in real timeAdd human approval steps to high-risk automated actionsRedact sensitive personally identifiable information from agent queriesSwap underlying language models without rewriting agent logicTrace tool calls and execution memory across agent runsVisual drag-and-drop builder for designing multi-agent workflowsCode-first Python library for building role-based agent architecturesReal-time tracing and cost accounting for LLM calls and tool executionsHuman-in-the-loop review and intervention during agent runsBuilt-in PII redaction and policy guardrails at runtimeAutomated discovery that scans business workflows to suggest agent use casesRuntime model swapping to test and run different LLMs across tasks