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.

This Agentic system is designed to handle complex data analysis tasks by breaking them down into smaller subtasks and delegating them to specialized agents. The system uses a multi-agent architecture to improve performance and scalability.

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.

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Multi-agent Data Analyst API powered by Ollama (local LLMs)

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.

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.

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 fully autonomous multi-agent system for end-to-end data analysis. Upload any CSV → Agents perform Profiling → EDA → AutoML → Verification → Notebook Generation → Gemini Insights.

A multi-agentic data interpreter that operates on behalf of a data analyst

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.

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.

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.

Comprehensive end-to-end Data Analyst agent capable of ingesting multiple file types simultaneously and performing analysis with visualizations.

An intelligent multi-agent system for automated data analysis and visualization. Built with LangGraph, OpenAI and Daytona Sandbox for secure code execution.

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.

AI Data Analyst with Multi-Agent System

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An Enterprise data analyst agent with MCP + skills + multi-agent orchestration

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

A multi-agent system where Analyst Agent queries data and Remote Compliance Bot sanitizes PII via A2A protocol before delivery.

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

Financial Analyst Multi Agentic Playground:A modular, LLM-powered multi-agent environment for financial data analysis, stock research, portfolio advisory, and real-time decision-making. Agents collaborate using tools like yFinance, Groq, and DuckDuckGo, enabling autonomous workflows and API-driven research.

A multi-agent system that acts as a personal financial analyst. It doesn't just "chat"—it scrapes the web, analyzes data, and writes a report.

A Multi-Agent LLM system to act as an autonomous data analyst, synthesizing structured internal data (Pandas) with unstructured real-time web intelligence (Serper API) to quantify supply chain risks.

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.

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

Professional-grade equity research assistant that turns natural-language questions into clear investment briefings. The system blends multi-agent orchestration, retrieval-augmented generation, and live financial data to produce analyst-style reports in seconds.