Crewai
Step-by-step tutorials for building AI agents with Crewai — 6 articles
Getting Started with CrewAI: Multi-Agent Workflows in Python
Build multi-agent workflows with CrewAI. Covers installation, creating role-based agents, assigning tasks, and running your first crew.
CrewAI Multi-Agent Workflows: Sequential and Hierarchical Crews
Learn how to build multi-agent workflows with CrewAI using sequential and hierarchical processes. Includes role definition, task delegation, and crew execution.
CrewAI Custom Tools: Connect Agents to Any API or Service
Build custom CrewAI tools to connect agents to databases, APIs, and external services. Covers @tool decorator, StructuredTool, BaseTool, and crewai-tools.
CrewAI Memory and Knowledge: Agents That Learn and Remember
Master CrewAI memory systems and knowledge bases. Covers short-term, long-term, entity memory, and knowledge sources for agents that learn across runs.
CrewAI Flows: Event-Driven Pipelines for Complex AI Workflows
Build complex AI workflows with CrewAI Flows. Covers @start, @listen, @router decorators, conditional branching, and combining multiple crews in one pipeline.
From Dev to Prod: Deploying CrewAI Applications with FastAPI and Docker
Learn to containerize CrewAI agents and expose them as a scalable web service using FastAPI and Docker for production-ready AI applications.