CrewAI

1. Introduction

   CrewAI's model of agents, tasks, crews, and flows.

2. Agents

   Role, goal, backstory, tools, LLM, and delegation settings for agents.

3. Tasks

   Task descriptions, expected output, context, guardrails, and async execution.

4. Crews

   Assembling agents and tasks, and kickoff and output handling.

5. Processes

   Sequential and hierarchical execution of tasks.

6. Flows

   Event-driven workflows with state, routing, and start/listen decorators.

7. Tools

   Built-in and custom tools that agents can use.

8. LLMs

   Configuring model providers, parameters, and context windows.

9. Memory

   Short-term, long-term, and entity memory for agent recall.

10. Knowledge

    Providing agents with external documents as grounded knowledge.

11. Collaboration and delegation

    How agents delegate and ask each other questions.

12. Testing and training

    Evaluating crews and training them with feedback.

13. Production architecture

    Deployment patterns, observability, and scaling crews and flows.

Each section links to the official page. Titles and summaries by Extra Credit; the docs belong to their authors.