12. CrewAI — Multi-Agent Collaboration Framework

flowchart TD
    subgraph CREW["CrewAI — AI Team"]
        MANAGER["👤 Manager\n(Plans & coordinates)"]
        RESEARCHER["🔍 Researcher\n(Gathers information)"]
        WRITER["✍️ Writer\n(Creates content)"]
        REVIEWER["📝 Reviewer\n(Checks quality)"]
        DESIGNER["🎨 Designer\n(Creates visuals)"]
    end

    GOAL["🎯 Company Goal:\nCreate marketing campaign"] --> MANAGER
    MANAGER --> RESEARCHER
    RESEARCHER --> WRITER
    WRITER --> REVIEWER
    REVIEWER -->|"Revise"| WRITER
    REVIEWER -->|"Approved"| DESIGNER
    DESIGNER --> OUTPUT["✅ Complete Campaign"]

    style CREW fill:#3b82f6,color:#fff
    style MANAGER fill:#8b5cf6,color:#fff
    style OUTPUT fill:#22c55e,color:#fff

flowchart LR
    subgraph CREWAI["CrewAI Architecture"]
        CREW["👥 Crew\n(The Team)"]

        CREW --> AG1["Agent 1:\nResearcher\nRole: Research Analyst\nGoal: Find information"]
        CREW --> AG2["Agent 2:\nWriter\nRole: Content Creator\nGoal: Write articles"]
        CREW --> AG3["Agent 3:\nReviewer\nRole: Quality Check\nGoal: Ensure accuracy"]

        CREW --> PROCESS["⚙️ Process\n(Sequential / Hierarchical)"]
        CREW --> TASKS["📋 Tasks\n(Steps to complete)"]
        CREW --> MEMORY["💾 Memory\n(Shared knowledge)"]
    end

    style CREW fill:#8b5cf6,color:#fff
    style CREWAI fill:#3b82f6,color:#fff

from crewai import Agent, Task, Crew, Process

# 1. Define agents with roles and goals
researcher = Agent(
    role="Senior Research Analyst",
    goal="Find the most accurate and recent information on the topic",
    backstory="You're an experienced analyst with 15 years in tech research",
    tools=[search_tool, web_scraper_tool],
    verbose=True,
    allow_delegation=False
)

writer = Agent(
    role="Technical Writer",
    goal="Create clear, engaging content from research findings",
    backstory="You're a published author specializing in AI topics",
    tools=[writing_tool],
    verbose=True,
    allow_delegation=False
)

reviewer = Agent(
    role="Quality Editor",
    goal="Ensure accuracy, clarity, and proper citations",
    backstory="You're a meticulous editor with an eye for detail",
    tools=[fact_check_tool],
    verbose=True,
    allow_delegation=False
)

# 2. Define tasks
research_task = Task(
    description="Research the latest trends in AI agents for 2025",
    expected_output="A detailed research brief with 5 key findings",
    agent=researcher
)

writing_task = Task(
    description="Write a 1000-word article based on the research",
    expected_output="A well-structured article with citations",
    agent=writer,
    context=[research_task]  # Writer gets research results
)

review_task = Task(
    description="Review the article for accuracy and quality",
    expected_output="Approved article with editorial notes",
    agent=reviewer,
    context=[research_task, writing_task]
)

# 3. Create the crew
crew = Crew(
    agents=[researcher, writer, reviewer],
    tasks=[research_task, writing_task, review_task],
    process=Process.sequential,  # One task at a time
    verbose=True,
    memory=True  # Enable shared memory
)

# 4. Run the crew
result = crew.kickoff(inputs={"topic": "AI Agents in 2025"})
print(result)

flowchart TD
    subgraph SEQ["Sequential Process"]
        S1["Task 1: Research"] --> S2["Task 2: Write"] --> S3["Task 3: Review"] --> S4["✅ Output"]
    end

    subgraph HIER["Hierarchical Process"]
        M["👤 Manager Agent\n(Coordinates & delegates)"]
        M --> H1["🔍 Researcher:\n'Find information'"]
        M --> H2["✍️ Writer:\n'Draft content'"]
        M --> H3["📝 Reviewer:\n'Check quality'"]
        H1 --> M
        H2 --> M
        H3 --> M
        M --> H4["✅ Final Output"]
    end

    style SEQ fill:#3b82f6,color:#fff
    style HIER fill:#f59e0b,color:#fff
    style M fill:#8b5cf6,color:#fff

sequenceDiagram
    participant Manager
    participant Researcher
    participant Writer
    participant Reviewer

    Manager->>Researcher: Delegate: Research AI trends
    Researcher->>Researcher: Search web, analyze results
    Researcher-->>Manager: Research complete (3 key findings)

    Manager->>Writer: Write article based on research
    Writer->>Writer: Draft 1000-word article
    Writer-->>Manager: Article drafted

    Manager->>Reviewer: Review article for quality
    Reviewer->>Reviewer: Check facts, grammar, structure
    Reviewer-->>Manager: Issues found: 2 citations needed

    Manager->>Writer: Fix citation issues
    Writer-->>Manager: Citations added

    Manager->>Reviewer: Re-review
    Reviewer-->>Manager: ✅ Approved

    Manager->>Manager: Compile final output

flowchart LR
    subgraph MEM["CrewAI Memory Types"]
        STM["📝 Short-Term Memory\nCurrent conversation\nRecent task results"]
        LTM["📚 Long-Term Memory\nPast task outcomes\nLearned patterns"]
        EM["👤 Entity Memory\nInformation about entities\n(People, companies, topics)"]
        CONTEXT["🔗 Context Memory\nShared context\nbetween agents"]
    end

    MEM --> AGENTS["All agents can\naccess memory"]
    AGENTS --> BETTER["Better decisions\nNo duplicate work\nPersonalized responses"]

    style STM fill:#3b82f6,color:#fff
    style LTM fill:#8b5cf6,color:#fff
    style EM fill:#f59e0b,color:#fff
    style CONTEXT fill:#22c55e,color:#fff
    style AGENTS fill:#6366f1,color:#fff
    style BETTER fill:#22c55e,color:#fff