extrawest/multi_agent_workflow_demo_in_langgraph
📦 Open Source Projectextrawest
A curated collection of multi-agent workflow patterns built with LangGraph for collaborative AI systems.
The multi_agent_workflow_demo_in_langgraph repository is an essential toolkit for developers aiming to master agentic orchestration. It moves beyond basic single-agent setups by providing concrete, modular examples of how to structure communication between multiple AI agents. The project leverages LangGraph's graph-based architecture to define stateful, cyclical workflows that are critical for real-world applications where agents must collaborate, verify information, and refine outputs. Key features include implementations of different agent interaction patterns, integration with OpenAI's LLMs, and the use of external tools like Tavily for live data retrieval. The code is structured to be highly readable, making it an excellent reference for understanding how to manage agent transitions, handle shared memory, and implement error-resilient logic in Python-based AI systems.
💡Highlights
- ├─LangGraph orchestration patterns
- ├─Stateful multi-agent workflows
- └─Tavily search tool integration
🎯For
- ├─AI Engineers
- └─Software Developers