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Complex real-world tasks require **specialized agents working in parallel**, supervised by a manager, passing results to one another — just like a human team.\n\nThis repository implements six autonomous multi-agent systems, each targeting a distinct business problem: from content pipelines and customer support to financial analysis and recruitment automation. Every system is built with **CrewAI** and demonstrates a different orchestration pattern that scales from prototype to production.\n\n---\n\n## 🏗 Architecture\n\n```\n                    ┌──────────────────────┐\n                    │     Manager LLM      │  ← Hierarchical Mode\n                    └──────────┬───────────┘\n                               │ coordinates\n              ┌────────────────┼────────────────┐\n              ▼                ▼                ▼\n       ┌────────────┐  ┌────────────┐  ┌────────────┐\n       │  Agent A   │  │  Agent B   │  │  Agent C   │\n       │ (Planner)  │  │ (Analyst)  │  │  (Writer)  │\n       └─────┬──────┘  └─────┬──────┘  └─────┬──────┘\n             │               │               │\n             ▼               ▼               ▼\n          Tools           Tools           Tools\n      (SerperDev)       (Custom)      (MDXSearch)\n             │               │               │\n             └───────────────┴───────────────┘\n                             │\n                     ┌───────▼────────┐\n                     │ Pydantic Output │  ← Validated JSON\n                     └────────────────┘\n```\n\n---\n\n## 📁 Project Structure\n\n```\nmulti-agent-systems-crewai/\n│\n├── 01_Research_and_Write_Article/     # Sequential: Planner → Writer → Editor\n├── 02_Customer_Support_Automation/    # Role-playing agents with shared memory\n├── 03_Customer_Outreach_Campaign/     # Custom tools + sentiment analysis\n├── 04_Automated_Event_Planning/       # Async parallel tasks + human gates\n├── 05_Financial_Analysis_System/      # Hierarchical: Manager LLM + specialists\n├── 06_Tailor_Job_Applications/        # RAG pipeline + multi-tool research\n│\n├── .env.example\n├── requirements.txt\n└── README.md\n```\n\n---\n\n## 🎯 Use Cases\n\n### 01 · Research & Write Article\n**Pattern:** Sequential  \nA three-agent pipeline where a **Planner** researches the topic, a **Writer** drafts the article, and an **Editor** refines the final output. Clean separation of responsibilities with task handoff.\n\n### 02 · Customer Support Automation\n**Pattern:** Role-Playing + Memory  \nAgents that retain conversation context across interactions using built-in **memory management**. Demonstrates how multi-agent cooperation improves response quality in support scenarios.\n\n### 03 · Customer Outreach Campaign\n**Pattern:** Custom Tool Integration  \nMarketing automation pipeline with a custom **Sentiment Analysis tool** and directory-based content reading. Shows how to extend CrewAI agents with bespoke Python tooling.\n\n### 04 · Automated Event Planning\n**Pattern:** Async Parallel + Human-in-the-Loop  \nTasks run in parallel (async) across multiple agents simultaneously. Strategic **interrupt gates** pause execution for human approval before committing actions. Uses **Pydantic** for structured, validated JSON outputs.\n\n### 05 · Financial Analysis System\n**Pattern:** Hierarchical Orchestration  \nA **Manager LLM** dynamically assigns tasks to specialized analyst and risk agents. The most advanced orchestration pattern — closest to how real enterprise AI pipelines operate.\n\n### 06 · Tailor Job Applications\n**Pattern:** RAG + Multi-Tool Research  \nA full recruitment automation pipeline using **MDXSearchTool** for semantic search over local documents, combined with web research tools. Produces tailored application materials automatically.\n\n---\n\n## 🛠 Core Skills Demonstrated\n\n| Skill | Implementation |\n|---|---|\n| **Agent Orchestration** | Sequential, Parallel (Async), Hierarchical flows |\n| **Custom Tool Engineering** | Python-native tools: Sentiment Analysis, directory readers |\n| **Structured Output** | Pydantic-validated JSON responses across all agents |\n| **Human-Agent Collaboration** | `interrupt_before` approval gates in critical workflows |\n| **RAG & Semantic Search** | `MDXSearchTool` for local document querying |\n| **Memory Management** | Cross-turn context retention for support agents |\n\n---\n\n## 🚀 Getting Started\n\n### Prerequisites\n\n- Python 3.10+\n- OpenAI API key\n- Serper API key (free tier at [serper.dev](https://serper.dev))\n\n### Installation\n\n```bash\n# 1. Clone the repository\ngit clone https://github.com/ozereray/multi-agent-systems-crewai.git\ncd multi-agent-systems-crewai\n\n# 2. Install dependencies\npip install -r requirements.txt\n\n# 3. Configure environment\ncp .env.example .env\n```\n\n### Configuration\n\n```env\nOPENAI_API_KEY=your_openai_api_key\nSERPER_API_KEY=your_serper_dev_api_key\n```\n\n### Run Any System\n\n```bash\n# Sequential article writer\npython 01_Research_and_Write_Article/main.py\n\n# Hierarchical financial analysis (most advanced)\npython 05_Financial_Analysis_System/main.py\n\n# Recruitment pipeline with RAG\npython 06_Tailor_Job_Applications/main.py\n```\n\n---\n\n## 🛠 Tech Stack\n\n| Tool | Role |\n|---|---|\n| [CrewAI](https://github.com/joaomdmoura/crewAI) | Multi-agent orchestration framework |\n| [LangChain](https://github.com/langchain-ai/langchain) | LLM abstraction & tool layer |\n| [OpenAI GPT-4o](https://openai.com) | Core reasoning model |\n| [SerperDevTool](https://serper.dev) | Real-time web search for agents |\n| [Pydantic](https://docs.pydantic.dev) | Structured & validated agent outputs |\n\n---\n\n## 🤝 Contributing\n\nIssues and pull requests are welcome. 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