Event-driven multi-agent AI system for a competitive real-time restaurant strategy game with SSE orchestration, structured LLM agents, and full audit logging.
-
Updated
Mar 4, 2026 - Jupyter Notebook
Event-driven multi-agent AI system for a competitive real-time restaurant strategy game with SSE orchestration, structured LLM agents, and full audit logging.
Un sistema multi-agente intelligente per la pianificazione di viaggi a Goa (India), che combina Retrieval Augmented Generation (RAG) con ricerca web in tempo reale.
Datapizza‑AI FAQ chatbot with RAG: Streamlit front end, Qdrant vector DB, Google Gemini, MCP docs integration, and conversation memory.
🚀 Get smarter financial decisions with AI: multi-LLM support (Ollama, Gemini, OpenAI), natural conversations about your finances, automated portfolio recommendations, and 10-year historical insights.
Minimalist AI agent that extracts information from files using surgical grep/ls operations to minimize token usage. Built with Datapizza + Google Gemini.
An initial agentic AI project built using the Datapizza-AI framework. The goal is to design multiple specialised agents, each with clearly defined tasks that work together to research news articles on a given topic and perform sentiment analysis on the collected information.
Extract cross-chain policies from Solidity contracts with an AI Agent.
Multi-agent AI system for content generation and text optimization. Telegram bot + CLI with OpenAI and Google Gemini support.
Add a description, image, and links to the datapizza-ai topic page so that developers can more easily learn about it.
To associate your repository with the datapizza-ai topic, visit your repo's landing page and select "manage topics."