Hello everyone, today we are going to learn how to use MetaGPT to implement a practical case of multi-agent collaboration – the Werewolf game. Werewolf is a classic social deduction game, and through MetaGPT’s multi-agent framework, we can simulate the behaviors of characters such as werewolves, villagers, guards, seers, and witches, and let them interact … Read more
IntroductionHave you ever thought about how AI can not only chat and draw but also socialize freely in a virtual world and host parties? The MetaGPT Stanford Town module takes you into an AI virtual world full of infinite possibilities! This article will guide you step by step on how to quickly set up and … Read more
When using large language models, achieving stable performance usually only requires a good prompt and the right tools. However, dealing with many unique processes can become tricky. To address this, OpenAI published a blog post on their official website titled “Orchestrating Agents: Routines and Handoffs”, which introduces the concepts of Routines and Handoffs. The code … Read more
Swarm is an innovative open-source framework designed to explore the orchestration and coordination of multi-agent systems. Developed and maintained by the OpenAI Solutions team, it provides developers with a lightweight, ergonomic, and educational environment for learning and experimenting with agent-based systems. The core design goal of Swarm is to facilitate interaction among autonomous agents (i.e., … Read more
OpenAI open-sourced an educational multi-agent collaboration framework called Swarm in October 2024. This article starts from the source code of Swarm, gradually introducing how to write a similar multi-agent framework and illustrating how agents can enhance business quality and efficiency through six application cases. Table of Contents: Agent Class Response Class Result Class Swarm Class … Read more
Urban Data College Officially Launched! Founded by Urban Data College A reliable online education platform for data themes A wealth of big data-related courses waiting for you to learn Illuminate your path in big data growth You can also join Urban Data College Become a contracted instructor Share technology and enjoy the monetization of knowledge … Read more
❝ “The future is here, the blue ocean of smart applications is unfolding before us!” 🌊 ❞ In this rapidly changing era, our lives are being transformed by various smart applications, emerging like bamboo shoots after a rain! But what are the supporting forces behind this smart revolution? Of course, it is the Phidata framework!✨ … Read more
https://www.phidata.app/ is an agent SaaS company that has open-sourced the Phidata framework. From the introduction on GitHub (https://github.com/phidatahq/phidata), it has a complete set of features, so let’s learn about it. First, let’s clarify the purpose: I want to understand the following implementations: How Phidata designs the interaction between multi-AI agents How Phidata allows agents to … Read more
This article introduces how to use Python, PhiData, FastAPI and Docker to build a simple AI Agent, and expose it as a Web service. Main Points Using PhiData to build a simple AI Agent, which decides whether to turn on the heater or air conditioning based on temperature. Using FastAPI to create a RESTful API, … Read more
This article introduces how to use Python and the PhiData library to build a simple AI agent. This agent can interact with a simulated environment (including temperature and humidity), and make decisions based on real-time sensor data. Key points Define a simple environment class, simulating changes in temperature and humidity. Create an AI agent class, … Read more