A modern chat interface for AI agents built with Next.js, Tailwind CSS, and TypeScript.
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Updated
Apr 12, 2025 - TypeScript
A modern chat interface for AI agents built with Next.js, Tailwind CSS, and TypeScript.
An advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.
Collection of impressive LLM apps with a focus on the financial sector
A multi-agent system built with Phidata(Agno) Framework that combines web search and YFinance data to provide comprehensive stock market analysis and investment insights. Features real-time data fetching, fundamental analysis, and automated research capabilities.
Multiagent chatbot 🤖🤖🤖 - Lab with Agno and open source llms
This Travel AI Agent is an intelligent assistant that helps users plan detailed travel itineraries. The agent leverages multiple AI models and external APIs to provide comprehensive travel recommendations including accommodations, activities, restaurants, and transportation options..
The Weightlifting Technique Analyst (WTA) is a multi-agent application designed to analyze Olympic weightlifting techniques from user-uploaded videos. It provides detailed feedback, identifies areas for improvement.
A crew of 4 Agents Web Search-Based Research Agent,Retrieval-Augmented Generation (RAG),AI-Driven Stock Market Analysis,Automated Evaluation Framework
Streamlit-based AI tool for in-depth YouTube video analysis – automatically generating video insights, timestamps, and structured content summaries using the Agno framework.
Revised agent of Financial_Agent previous repo of mine, this provides comprehensive market insights using real-time data
In this we implement research agent using agno with groq llm
🧠Investment Analysis Ver 1 - Gen AI agent based doing financial analysis (financial ratios analysis) of a company stock 📈 & making an investment recommendation. Powered by Agno based Gen AI agent and Google Gemini flash LLM.
Insurance AI Assistant A smart system combining PostgreSQL, Milvus, and specialized AI agents (Life/Home/Auto) to answer insurance queries accurately. Features real-time sync, semantic search via OpenAI embeddings, and a Streamlit UI. Perfect for insurance tech demos or customer service augmentation.
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