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A hands-on LangGraph learning project exploring multi-agent workflows, memory management, checkpointing, and human-in-the-loop logic. Focused on building reliable, traceable, and stateful AI pipelines using LangChain agents.

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anjaliy11/langgraph_learn

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LangGraph Learn

A curated exploration of LangGraph — a framework for building stateful, multi-agent applications using graph-based logic. This repository is designed for practical learning, debugging, and implementing advanced LangGraph patterns including:

  • 🔁 Stateful workflows
  • 🧠 Memory management
  • 💬 Human-in-the-loop systems
  • 📍 Checkpointing
  • 🔍 Traceability
  • ⚠️ Agent reliability diagnostics

📌 Project Highlights

  • ✅ Integrates LangChain agents into LangGraph DAGs
  • ✅ Demonstrates reducers, checkpointers, and traceable nodes
  • ✅ Explores different types of memory mechanisms (e.g., ConversationBufferMemory)
  • ✅ Introduces HITL decision nodes
  • ✅ Actively addresses reliability concerns with LangChain agents in graphs

🤝 Contributing Contributions, suggestions, and issue reports are welcome. Feel free to fork the repo or open a discussion on how to improve LangGraph usage.

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A hands-on LangGraph learning project exploring multi-agent workflows, memory management, checkpointing, and human-in-the-loop logic. Focused on building reliable, traceable, and stateful AI pipelines using LangChain agents.

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