Multi-agent AI trading system using LLM-powered analyst agents (Buffett, Munger, Burry, etc.) with free data sources (SEC EDGAR + yfinance) and Alpaca integration.

TubeWhale is an open-source AI framework that automates YouTube video search, transcript retrieval, and content summarization. Users input a keyword, and TubeWhale's multi-agent system expands the search, processes video data, and provides structured summaries. Ideal for researchers and analysts, it simplifies video content exploration.

Build a production-ready multi-agent quantitative analyst system where AI agents scrape market data, analyze trends, and generate investment reports. Uses FastAPI for orchestration, Streamlit UI, Azure PostgreSQL for logging, and Azure Blob Storage for archiving.

Autonomous Multi-Agent AI system for financial research. Orchestrates specialized AI analysts to debate technical, fundamental, and sentiment data, reaching verified consensus on high-conviction investment strategies.

A Multi-Agent AI pipeline that autonomously explores, analyzes, and reports on any dataset. It features agents like Data Scientist, Python Expert, Data Analyst, and Customer Engineer. Built with LangGraph and LangChain for multi-agent flow, and uses RAG to minimize context length and improve response efficiency.

The Financial Research Analyst Agent is a hierarchical multi-agent system that provides comprehensive stock analysis by coordinating 11 specialized AI agents, 20+ analysis tools, a RAG knowledge pipeline, and a multi-provider data layer — all accessible through a Streamlit web app, REST API, and CLI.

A powerful, intelligent data analysis platform featuring 6 specialized AI agents for comprehensive dataset analysis. Each agent focuses on specific aspects of data analysis - from dataset description to business insights generation.

An autonomous multi-agent AI Data Analyst powered by Groq and Phidata. Transform raw CSV and SQL data into insights and visualizations through natural conversation.

Finsage AI is an AI-powered multi-agent system for retail investors and analysts, built with Python, LLAMA 3.1 (8B Instant), and Phidata. It delivers real-time financial insights, news summaries, and simulations to support smarter, data-driven investment decisions.

INTELLIRAG 🧠✨ A multi-modal AI analyst processing PDFs, audio, & images. Features an agentic core with Researcher & Data Scientist agents for text/table analysis. Includes a secure Firebase backend for persistent user data & chat history, plus an autonomous report generation mode. Built with Google Gemini & LangChain.

AI Data Analyst with Multi-Agent System

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AI Data Analyst Agent - Intelligent agent for data analysis, visualization, and business intelligence using advanced analytics, machine learning, and multi-step reasoning

AI-powered multi-agent system where a Researcher gathers data and an Analyst interprets insights to generate smart, automated reports.

Multi-Agent Agentic AI Crew for CFO-Grade Financial Modeling & Business Valuation. Includes Data Auditor, Financial Analyst, Market Researcher, Valuation Engineer & Board Writer agents. Combines deterministic valuation math with structured AI reasoning for transparent Enterprise & Equity value computation.

The Multi-Agent Financial Research Assistant is an AI-powered system that helps investors and analysts make smarter financial decisions. It uses multiple specialized agents to fetch, analyze, and summarize real-time financial data and news.

A multi-agent AI-powered financial analyst that generates personalized investment reports using real-time stock data, company insights, and market performance analysis. Built with Streamlit, Yahoo Finance API, Plotly, and Google Gemini via Agno AI.

The Multi-Agent Campaign Chatbot is an AI-driven system designed to assist in crafting comprehensive marketing campaigns. Utilizing LangGraph and LangChain, the chatbot orchestrates multiple specialized agents—such as content writers, graphic designers, data analysts, and brand managers—to collaboratively generate creative and data-driven marketing

StockSage is a multi-agent workflow using Phidata to generate financial analyst recommendations for major tech stocks. AI agents collect stock data from Yahoo Finance, analyze key financial metrics, assess news sentiment, and provide buy/hold/sell insights. Automating market analysis, StockSage helps streamline investment decision-making.

This project is a powerful multi-agent AI system built using Phi, enhanced with Groq's LLaMA 3.1 models, capable of: 📊 Fetching live stock data (price, fundamentals, analyst ratings, and news) 🌐 Performing real-time web searches with source citations 🤖 Responding intelligently using specialized agents for each task

Personal Finance AI is a multi-agent stock sentiment analyzer that combines recent Yahoo Finance market data with news from strictly verified financial sources. Built with Agno, Claude Sonnet 4, and Gradio, it fetches price action, technical indicators, fundamentals, and analyst ratings, then cross-checks them against curated news to generate.

AI Multi-Agent Data Analyst v2 is a next-generation automated analytics system that transforms any tabular dataset into a client-ready insight report within minutes — no coding required.

AI-powered data analysis tool using multi-agent collaboration (AutoGen). Features Streamlit chat UI, secure Docker code execution, and OpenRouter API integration

AI Data Analyst Multi-Agent System.

AI Multi-Agent Data Analyst Platform

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This project is an autonomous AI-driven data analyst system. It allows users to upload a dataset (CSV, Excel, Parquet), and withone click , it produces: Metadata extraction Analysis plan generation, KPI computation, Visualization generation, Optional insights & narratives. It effectively automates the daily workflow of a human data analyst

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