ADK + CopilotKit reference implementation using AGUI, A2A, GenerativeUI - Multi-agent AI assistant with Vertex AI RAG

👨🏻‍💻 Meet Lumina – my personal AI assistant powered by hybrid RAG with Pinecone vector search and Neo4j graph traversal, Google AI, LangChain, and an MCP server with 30+ tools. Features real-time streaming, conversation branching, and a multi-agent agentic AI pipeline for intelligent, grounded responses with inline citations.

🎩 AIfred - Multi-Agent AI Assistant with TTS, RAG, Web Research & Voice capabilities. Supports Ollama, vLLM, TabbyAPI. Features AIfred/Sokrates/Salomo debate system.

Building AI Research Assistant: Multi-Agent RAG System Reading From Multiple Unstructured Sources

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.

📚 Local paper management + AI-powered reading assistant with RAG, vector search, and multi-session chat.

Open-source multi-agent AI assistant powered by LangGraph, FastAPI & Next.js — 16+ agents, Human-in-the-Loop, MCP integration, voice TTS, RAG, 500+ metrics, 6 languages.

Multi-Channel Message Relay with AI Customer Service 🚀 A FastAPI-powered messaging system for Email ✉️, SMS 📲, and Voice 🎙️, featuring Redis scheduling ⏰, implemented with a custom Decorator Design Pattern 🎨 and IoC Container . It also includes an AI assistant leveraging LLM , RAG 📚, KG 🧠, and Speech-to-Text 🎤 throughout the project.

Cortex is a sophisticated AI coding assistant that combines the power of multi-agent orchestration with Retrieval-Augmented Generation (RAG) to provide intelligent, context-aware answers about your codebase. Built with privacy in mind, Cortex runs entirely locally using Ollama or can be configured to use OpenAI's models.

A modern, web-based AI assistant where users can : Upload a product image, Ask questions about its feature or alternatives, Gert answers with retrieved specs, links, and visual content. ChatGPT + Google Lens + Amazon Search

An intelligent multi-agent AI assistant powered by Gemini LLM using the ReAct pattern to orchestrate five specialized agents (crypto, stocks, portfolio, RAG, web search) through MCP. Features a LangGraph supervisor with streaming Gradio UI.

Cyber Vision AI is an award-winning, open-source AI assistant for cybersecurity, document analysis, and knowledge management. Built with advanced RAG, MindMap, and multi-agent AI, it empowers security professionals and researchers with unrestricted, ethical, and insightful tools.

Go-based framework for interruptible multi-agent AI assistants with memory, RAG, and voice

Multi-agent AI assistant for online education platform (EduFlow): FastAPI + YandexGPT + RAG (ChromaDB) + Bitrix24 CRM + Telegram/WhatsApp. 221 tests, 84% coverage.

Context-bounded RAG backend built with FastAPI, FAISS, and SentenceTransformers. Designed for spoiler-safe, grounded AI reading assistants with multi-client support.

A modular, multi-model AI assistant UI built on .NET 9, featuring RAG, extensible tools, and deep code + database knowledge through semantic search.

AI Research Agent: An autonomous assistant that crawls arXiv papers and AI news, generates LLM summaries, performs RAG retrieval, and delivers insights via multi-platform bots.

An AI-powered Multi-Agent Research Assistant built with Generative AI, Agentic AI, LangGraph, RAG, Persistent Memory, FAISS, and FastAPI. It supports multi-format uploads, intelligent PDF analysis, and expert-like Q&A via Researcher, Summarizer, Critic, and Editor agents—offering deep, contextual, and interactive research insights.

AI Research Assistant is a multi-agent system built with LangChain, LangGraph, and LangSmith. It lets users ask research questions and returns search results, summaries, and synthesized reports in a ChatGPT-like Streamlit UI. Easily extendable with real APIs or RAG.

A self-hosted Flask AI assistant with RAG, vision, multi-tool execution, and canvas document editing. Full workflow automation in one open-source platform.

DocQuery is a multi-lingual RAG assistant that lets you upload documents, store embeddings in PostgreSQL/pgvector, and query them through an AI-powered interface.

AIBlue Ultra: Advanced multi-headed AI assistant powered by RAG. Delivers intelligent, context-aware responses by integrating multiple specialized AI models. Features dynamic weighting, intelligent routing, and continuous learning. Ensures user privacy and security.

An intelligent AI paper reading assistant powered by Multi-Agent collaboration and LangGraph. Features include vector RAG, automated translation with dual-column layout, and Tree-of-Thoughts (ToT) driven innovation analysis.

AI assistant backend for document-based question answering using RAG (LangChain, OpenAI, FastAPI, ChromaDB). Features modular architecture, multi-tool agents, conversational memory, semantic search, PDF/Docx/Markdown processing, and production-ready deployment with Docker.

This project showcases the power of LangGraph, a library for building stateful, multi-step applications using LLMs. By combining LangGraph with tools like RAG, web search capabilities, and specialized knowledge bases, AI assistant can navigate complex information landscape and synthesize findings into coherent, well-structured reports.

Privacy-first AI coding assistant with adaptive multi-LLM orchestration, semantic memory (RAG), and voice interface

Production-ready AI-powered CV assistant built on Cloudflare Workers with RAG, vector search, and multi-cloud analytics

AI-powered study assistant with multi-agent RAG architecture for querying, summarizing, and generating practice questions from PDFs, notes, and research materials.

Advanced AI assistant combining RAG + Knowledge Graph with multi-agent system, persistent memory, and hybrid retrieval. Features CrewAI coordination, Neo4j integration, and dual interfaces for intelligent conversational AI.

An AI assistant for Cisco IOS XE that uses RAPTOR Tree Multi-Query RAG and Ollama so you can 'chat' with your Cisco IOS XE device