📚 AI-powered research reading workbench. Project-based paper Q&A with Hybrid RAG, multi-agent workflows (ReAct/Plan-Act/RePlan), long-term memory, and traceable evidence. Built with LangChain + LangGraph + Streamlit.

Advanced multi-agent Medical AI Assistant powered by LangGraph that delivers empathetic, doctor-like responses using a hybrid pipeline of LLM reasoning, RAG from medical PDFs, and intelligent fallback tools. Features Long-term memory with SQLite, dynamic tool routing, and state reasoning for reliable, context-aware consultation.

Code examples and implementations from the course [Long-Term Agentic Memory with LangGraph](https://www.deeplearning.ai/short-courses/long-term-agentic-memory-with-langgraph/) by DeepLearning.AI. Course notes available at: https://hackmd.io/@YungHuiHsu/S1f1cyOnke

Build an AI Agent with long term memory using LangGraph

Agentic BI SaaS platform for natural language analytics using LangGraph, LangChain, LLMs (OpenAI, LLaMA, Mixtral), RAG with FAISS/Chroma, SQL & BI agents, MCP tools, and long-term AI memory (mem0). Built with FastAPI, Streamlit, Plotly, SQLAlchemy, PostgreSQL,Docker,Kubernetes,governance, lineage, RBAC,usage-based billing,SaaS & on-prem deployment.

DeepLearning.AI // Long-Term Agentic Memory With LangGraph Course

Long-Term Agentic Memory With LangGraph

A Feature-rich, LangGraph-based Multimodal Agentic Discord bot with Long-Term Memory

Demonstrates the implementation of an agent with long-term memory capabilities using LangGraph.

A production-ready LangGraph agent with long-term memory - built from scratch on Redis.

Starter template for building LangGraph agents with real long-term memory using OpenMemory’s temporal graph.

A LangGraph FastAPI-based conversational AI agent with long-term memory, streaming chat support, and modular architecture.

Production-ready conversational commerce system with LangGraph agents, semantic search, and long-term customer memory on WhatsApp and Web

A personalized Bengali AI tutor using an Agentic RAG architecture with long-term memory. 🧠 Built with LangGraph, it dynamically retrieves from Pinecone or web search. Served via a FastAPI backend and Streamlit UI.

This is a multi-agent autonomous research assistant using LangGraph and RAG pipelines that plans, retrieves, verifies, and synthesizes information into structured, citation-backed reports with long-term vector memory

🧮 Multi-agent AI math tutor built with LangGraph — CRAG retrieval, episodic & semantic long-term memory, Tavily MCP web search, Google OAuth, and Neo4j-style memory graph. Powered by LLaMA 3.3 70B on Groq.

Personalise Agent is an AI-powered assistant built with LangGraph and FastAPI that maintains long-term memory, performs real-time web searches, and generates context-aware responses. Its modular design enables seamless integration of reasoning, memory, and generation for building intelligent personalized agents.

🌟 Lumiere: Multi-agent RAG system with semantic memory. Combines LangGraph, Qdrant vector search, and OpenAI for intelligent document Q&A, SQL data analysis, and context-aware conversations. Features long-term learning, critic validation, and full observability.

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Long term Agentic Memory

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DeepLearning.AI course "Long-Term Agentic Memory With LangGraph"

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Integration and evaluation of semantic, episodic, and procedural memory in autonomous agents using the LangGraph framework. We begin with a baseline email-handling agent and progressively enhance it with structured memory components to assess their impact on agent performance and decision-making.

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