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A project demonstrating the ability to utilize Agentic AI workflows to perform analysis and discovery on aspects of US Healthcare Taxation Laws. Utilizes an underlying RAG framework for Response Generation. Also includes a comparison of LlamaIndex vs a custom framework that makes use of retrieval strategies like Hyde and Multi-Query Transformations

The dashcam and emergency brake for AI agents. A security proxy that physically blocks rogue LLM commands and generates cryptographically proven audit trails for enterprise compliance.

SynapSense: Python In-Context Learning for Large Language Models SynapSense is a cutting-edge Python library designed to streamline the implementation of In-Context Learning (ICL) with Large Language Models (LLMs).

A starter template for building powerful, local, tool-calling LLM agents using LangGraph and llama-cpp-python

A lightweight dashboard to view and analyze test automation results. Built with Streamlit + PostgreSQL, and powered by AI (Gemini) to help debug test failures faster.

A lightweight AI agent that answers natural language questions about APIs using their official documentation. It leverages vector embeddings and Retrieval-Augmented Generation (RAG) for accurate, context-aware responses.

This project implements a travel chatbot powered by the RAG (Retrieve and Generate) chain, providing real-time information retrieval using various tools and the ability to fetch weather reports.

AskGPT is a real-time AI assistant that enhances your calls, interviews, meetings, and lectures by providing instant AI-generated insights. It captures live audio, transcribes speech into text, and generates context-aware responses—all in real-time!

The Site Status Checker Agent is a powerful and flexible tool designed to monitor and report on the status of websites.

A sample project to demonstrate how a langgraph ReAct agent can be wrapped with the A2A protocol

🔍 Automate penetration testing with an intelligent agent that organizes security assessments, leveraging local LLMs and Kali Linux for effective exploitation.

[Hitachi Digital Services] Demo on LangGraph-based Lightweight Multi-Agent System

Handcrafted ReAct Agent Engine | Supports FS / web page / weather query + code sandbox, including observability + visualization tools, focusing on circular thinking detection and task quality optimization

A production-ready LangChain-based AI agent framework with comprehensive tool integration, RAG capabilities, and unrestricted web search functionality.

Python middlewares over the WebSocket of OpenAI Realtime API.

一个自动化密钥检测工具，对文件进行分析并提取潜在密钥。本项目获得DataCon2025软件供应链安全赛道第5名。

Thesis Project - Exploring the Use of LLMs for Agent Planning with a focus on logprob-based uncertainty

Research-grade Self-Correcting RAG agent built with LangGraph that retrieves knowledge, generates answers, evaluates grounding/relevance/completeness, and iteratively self-improves with confidence scoring and memory.

LLM projects can be directly used or added to organization

ReactJS Chat interface for langchain4j application