CrewAI
A Python framework for orchestrating role-playing AI agents that work together as a crew to accomplish complex tasks.
In-Depth Explanation
CrewAI is a framework for building teams of AI agents with defined roles, goals, and backstories that collaborate to complete tasks. It emphasises role-playing and specialisation for realistic agent behaviour.
Core concepts:
- Agent: AI with role, goal, backstory
- Task: Work item with description
- Crew: Team of agents with tasks
- Process: How agents collaborate
- Tools: Capabilities agents can use
Agent definition includes:
- Role (e.g., "Senior Researcher")
- Goal (what they aim to achieve)
- Backstory (context for behaviour)
- Tools (available capabilities)
- LLM (model to use)
Process types:
- Sequential: Tasks done in order
- Hierarchical: Manager delegates
- Consensual: Agents decide together
Business Context
CrewAI simplifies building agent teams with clear roles, making multi-agent systems more intuitive to design and understand.
How Clever Ops Uses This
We build CrewAI solutions for Australian businesses automating research, content creation, and analysis workflows with specialised agent teams.
Example Use Case
"A content creation crew with a Researcher agent finding information, a Writer agent creating drafts, and an Editor agent polishing the final output."