{"id":28863224,"url":"https://github.com/tech-aakash/langchain-agents","last_synced_at":"2026-04-24T23:31:17.756Z","repository":{"id":298874238,"uuid":"1001284512","full_name":"tech-aakash/LangChain-Agents","owner":"tech-aakash","description":"Basic of langchain \u0026 lang graph to create agents with Azure OpenAI","archived":false,"fork":false,"pushed_at":"2025-06-13T10:12:47.000Z","size":825,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-06-13T11:23:29.833Z","etag":null,"topics":["langchain","langchain-python","langgraph","langgraph-python","prompt-engineering","prompt-tuning"],"latest_commit_sha":null,"homepage":"https://www.triumphai.in/blog","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# LangChain-Agents: Modern AI Agents with Azure OpenAI \u0026 LangGraph\n\nA beginner-friendly, **hands-on repo** for building real conversational AI agents using **LangChain**, **LangGraph**, and **Azure OpenAI**.\n\n\u003cdiv align=\"center\"\u003e\n  \u003cimg src=\"images/LangChain full size.png\" alt=\"LangChain Agents Banner\" width=\"100%\"\u003e\n\u003c/div\u003e\n\n---\n\n## 🌟 Why This Repo?\n\n- ✅ **Azure-Ready:** Everything runs on your Azure OpenAI endpoints.\n- ✅ **Agent Foundations:** Learn to create and orchestrate agents using the latest LangChain \u0026 LangGraph patterns.\n- ✅ **Clear Examples:** Notebooks for prompt templates, chat memory, and more.\n- ✅ **Memory That Scales:** Use modern, multi-turn chat memory (LangGraph style).\n- ✅ **Perfect for Beginners \u0026 Tinkerers:** Minimal setup, maximum learning.\n\n---\n\n## 📂 Repository Structure\n\n| File/Notebook                  | Purpose                                  |\n|--------------------------------|------------------------------------------|\n| `Basic Agent.ipynb`            | Build your first agent with LangChain    |\n| `PromptTemplate.ipynb`         | Dynamic prompt engineering in action     |\n| `PromptTemplateTypes.ipynb`    | Multi-variable prompt templates          |\n| `ConversationBufferMemory.ipynb`|  Chat memory (LangGraph \u0026 LangChain)    |\n| `MemoryChatDemo/main.py`       | Streamlit app demonstrating chat memory  |\n\n---\n\n---\n\n## 🚀 Run the Chat Memory Demo (Streamlit)\n\nExperience multi-turn chat memory in action using **LangGraph** and **LangChain**, all powered by **Streamlit**.\n\n### 🛠️ Steps to Launch\n\n1. **Clone the repository**\n   ```bash\n   git clone https://github.com/tech-aakash/LangChain-Agents.git\n   cd LangChain-Agents\n\n2. **Navigate to the demo folder**\n    ```bash\n    cd MemoryChatDemo\n\n3. **Lunch the Streamlit App**\n    ```bash\n    streamlit run main.py\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftech-aakash%2Flangchain-agents","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftech-aakash%2Flangchain-agents","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftech-aakash%2Flangchain-agents/lists"}