{"repo":"uzumstanley/PHIDATA","free":true,"listed":false,"github":"https://github.com/uzumstanley/PHIDATA","clone":"git clone https://github.com/uzumstanley/PHIDATA.git","description":"High level Multi Intelligent Agent","language":"Python","stars":16,"topics":["agent","agent-based-modeling","api","artificial-intelligence","chromadb","dbt","financeai","rag-chatbot","reasoning-agent","websearch-agent"],"license":null,"category":"data-pipelines","readme_excerpt":"Multi Agent AI Framework Multi-Agent AI Framework is a modular and extensible artificial intelligence system that orchestrates multiple specialized AI agents to collaboratively perform complex tasks. Each agent is designed to handle a specific capability such as web search, financial analysis, reasoning, data analysis, retrieval-augmented generation (RAG), multimedia generation, and Python-based problem solving. The framework demonstrates how intelligent agents can work independently or as coordinated teams, leveraging tool integrations, structured outputs, and contextual reasoning to deliver scalable AI-powered solutions. It also incorporates advanced features such as monitoring, debugging, human-in-the-loop verification, and multimodal inputs including text, images, and audio. This project showcases practical implementations of modern AI agent architectures and serves as a foundation for building real-world autonomous AI systems. Key Features Specialized AI Agents for tasks such as web search, finance analysis, reasoning, research, and data analytics Agent Collaboration allowing multiple agents to work together as a team Retrieval-Augmented Generation (RAG) for knowledge-enhanced responses Python Tooling Agent capable of executing Python functions and performing computations Multimodal Capabilities including image, audio, and video generation Monitoring and Debugging Tools for tracking agent performance and troubleshooting workflows Human-in-the-Loop Verification for safer ","default_branch":null,"files":null,"tree":[],"storefront":"/r/uzumstanley","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/uzumstanley/PHIDATA/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}