Submission information
| Approved | No |
|---|---|
| Title | deep_research_flow: A Multi-Agent AI Research System |
| Category | Code |
| Skill Level | Intermediate |
| Description | A completely open-source, locally-runnable multi-agent AI research workflow that conducts comprehensive research on user queries using free LLM models and free web search APIs. Built with CrewAI's agentic framework, this system orchestrates multiple AI agents working in parallel to deliver high-quality research reports. Deep Research Flow is an intelligent research assistant that automatically:
The system uses a CrewAI Flow architecture with intelligent routing, parallel execution, and quality guardrails to ensure accurate, well-structured research outputs. 🎯 Why This Project Is UsefulIf you're wondering:
This project answers those questions with a fully functional, production-ready example. Key Benefits✅ 100% Open Source - Use any Ollama model (Llama, Mistral, Granite, etc.) |
| Link to Resource | |
| Tags | ai, artificial-intelligence, data-security, llm, nlp, python |
| Domain | |
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