CrewAI
Framework for orchestrating role-playing AI agents working together on complex tasks
Most popular multi-agent framework with role-based orchestration
Metrics
Score Breakdown
Compatibility
Scoring Methodology
Task decomposition and strategic execution capabilities
Source: AgentBench, WebArena, SWE-bench Verified
Intent recognition, function selection, and execution accuracy
Source: ToolBench, API-Bank, Berkeley Function Calling Leaderboard
Long-context handling and information retention
Source: LongBench, RULER, InfiniteBench
Error recognition and behavior adjustment
Source: ReAct benchmark, Reflexion evaluation
GitHub stars, community usage, ecosystem maturity
Source: GitHub API, PyPI downloads, Stack Overflow activity
Related Signals
Multi-Agent Frameworks See Enterprise Adoption
Enterprise teams are increasingly adopting multi-agent frameworks like CrewAI and AutoGen for complex workflows, moving beyond single-agent implementations to orchestrated agent teams.