An Open Core scaffold for building powerful, production-ready agentic systems with LangGraph.
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Updated
Oct 3, 2025 - Python
An Open Core scaffold for building powerful, production-ready agentic systems with LangGraph.
🤖 CodeForge AI: An autonomous multi-agent coding system powered by LangGraph for agentic software development and automated workflows. SOTA custom agentic GraphRag, shared-state memory, auto-model routing for cost optimization, and a range of custom tooling.
A Python-powered web scraping tool with built-in article summarization, CLI and API interfaces, and Docker support. Ideal for extracting and managing web content at scale.
This is a reasoning AI chatbot that uses Deepseek R1
Langgraph Agentic Chatbot
LangGraph-based Gmail assistant with HITL, reminder dispatcher, and Gemini 2.5 tooling. Automates triage, replies, and reminder management for email workflows.
A multi-agent chatbot with LangGraph, using Supervisor, Enhancer, Researcher, Coder, Validator, and Normal agents. Built with Flask + PostgreSQL, it supports authentication, session-based memory, and delivers accurate, context-aware responses.
A chatbot that performs web searches on demand and notifies users with relevant results in real time.
A chatbot that leverages Large Language Models (LLMs) to perform real-time web searches using LangChain, Groq API, and various search tools. This project is deployed on Hugging Face Spaces.
Q&A chatbot built with LangChain and Ollama, featuring LangSmith tracing for monitoring conversations.
My First RAG chatbot with PDF upload and memory - Streamlit + LangChain + Groq
Streamlit-based chatbot designed to solve basic mathematical problems presented in natural language. It leverages the power of LangChain, Llama 3 LLM, and various tools
NikhilRAG is an AI-powered RAG Chatbot that dynamically synthesizes my professional journey, projects, and skills. Powered by GPT and the LangChain framework, it answers questions like a chatbot, delivering insights into my technical expertise and career highlights.
AI Pipeline: Weather + PDF RAG (LangChain, LangGraph, Qdrant, Streamlit)
Showcases LangSmith integration in LLM apps—from simple Runnables to chains, RAG chatbots, agent workflows, and LangGraph orchestration. Enables tracing, debugging, monitoring, and evaluation of pipelines, tools, and workflows for full observability.
An intelligent Model Context Protocol (MCP) server for Azure AI Search integration with Claude Desktop - Transform enterprise document search into natural AI conversations using LangGraph workflows, Google Gemini, and advanced retrieval-augmented generation (RAG).
A powerful Streamlit application 🤖 that combines the capabilities of Large Language Models (LLMs) with web search 🌐 and academic research tools
Chatbot for answering questions on different topics
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