langgraph-tools

AI-powered multi-agent medical assistant with a deterministic safety layer — crisis detection, refused-topic hard-stops, dosage grounding, and post-generation diagnosis verification running before and after every LLM call, backed by parallel RAG, Wikipedia, and Tavily retrieval with symptom and drug-question routing.

A production-ready, scalable multi-agent system built with LangGraph, featuring specialized agents for different tasks with best coding practices.

Production ready LangGraph multi-agent orchestration template with supervisor routing, FastAPI + Streamlit chat UI, MCP tool calling, local RAG + knowledge graph retrieval, PostgreSQL memory, per-user auth, and CI/CD.

Job Interview Notification AI Agent (LangGraph JS)

A comprehensive LangGraph quickstart application demonstrating AI agent workflows with proper architecture and best practices.

This is an autonomous cybersecurity pipeline.

LangChain Graphiti Integration

LangGraph is a powerful framework built on LangChain that enables the creation of stateful, multi-step, and agentic workflows using directed graphs. It simplifies complex LLM orchestration by allowing conditional branching, memory, and tool integrations in a visual and modular way.

LangGraph JS app based on CoinMarketCap API

Hierarchical Multi-Agent AI in LangGraph.js

Successfully developed a Healthcare AI Clinical Decision Support System, leveraging LangGraph, GPT-4o-mini, and PubMed to deliver real-time patient risk stratification, evidence-based treatment recommendations, and personalized clinical road maps with integrated drug safety validations.

Agentic SRE

An end-to-end AI Financial Research & Advisory Agent built using LangGraph, LLMs, and machine learning for automated market analysis, compliance validation, and investment advisory. Integrates real-time data, SEC filings, and financial news to generate intelligent trading insights with audit-ready traceability.

A general LangGraph workspace for experiments, workflow patterns, and related AI orchestration concepts.

agenticflow synchromodal transport

The project is to develop an application with the use of C++ and Agentic AI to detect any malware in a computer system.

An AI-powered voice & CLI interface for local database management.

LangGraph's interrupt/resume primitives are genuinely clean. But the checkpoint model has a side effect that silently double-executes tools, and approval binding is positional rather than explicit. Here's what that means in practice.

Diagnose and debug Retrieval Augmented Generation pipelines by analyzing traces to identify and fix issues affecting answer quality and relevance.

Build PDF Q&A with RAG, OpenAI, and ChromaDB for fast, local answers from policies, contracts, and resumes