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From Single to Multi-Agent: The Beginner's Guide to Mastering OpenAgents with 5 Demos

Recently, many users who just started OpenAgents have been asking us privately: How can OpenAgents be used in specific scenarios? To address this, we provide a series of ready-to-use demo cases, from single-agent communication to multi-agent collaboration, covering a variety of application scenarios. These 5 demos make it easy for beginners to get started： You will learn:

  • Single-agent initiation and communication
  • Multi-agent collaboration
  • Real-time information flow processing
  • Task-driven research teams
  • Event-driven and module integration Without complex configuration, each demo is a complete, runnable example, offering you an intuitive journey from single-agent communication to multi-agent collaboration. OpenAgents tutorial：https://openagents.org/docs/tutorials/tutorials

Demo1 Hello World: A Single Agent That Replies to Messages In just a few steps, you can launch your first agent “Charlie.” Say hello in the chat channel, and it will respond warmly. The simplest possible OpenAgents demo——a single agent that replies to any message in a chat channel. This is the perfect starting point to verify your installation works and familiarize yourself with basic workflows.
You'll learn:

  • How to launch a basic network with the messaging mod.
  • How to run a YAML-configured agent
  • How to interact with agents via Studio ✅ This demo is your first step into OpenAgents. Use it to quickly validate your environment, grasp the fundamental relationship between agents and networks, and complete your first human-agent conversation.

Demo: Hello World Detailed Tutorial: https://openagents.org/docs/tutorials/demo-hello-world

Demo2 Startup Pitch Room: A Multi-agent Chat Room Want to witness a heated debate over startup ideas? This is a multi-agent chat room where AI agents roleplay as startup team members——founder, engineer, and investor——discussing and debating startup ideas. Pitch an idea and watch them ask questions, challenge arguments and offer insights based on their distinct personas. You can experience a vivid scenario of multi-agent role-playing and collaborative discussion. Demo Highlights: Agents deliver responses in their distinct personas, not generic replies, creating tension and immersion that authentically replicates real team dynamics. Just a few clear commands initiate discussions among three agents. This demo can also extend to diverse scenarios like product reviews and consulting, offering multifaceted perspectives. ✅ You'll gain foundational skills in: running multiple agents simultaneously, channel division of labor, agent personality design through prompts. Demo: Startup Pitch Room Detailed Tutorial: https://openagents.org/docs/tutorials/demo-startup-pitch-room

Demo3 Tech News Stream: Real-Time Information Pipeline Experience how agents automatically gather and analyze information. This demo deploys two agents: “News Hunter” and “Analyst.” When you ask about the latest tech trends, one agent scrapes real-time updates while the other instantly generates insightful commentary. You can view raw information in the news-feed channel, read analytical perspectives and join discussions anytime. This is a conversation you can observe, participate in and even steer. ✅ You'll learn: Task triggering between agents, information flow collaboration, real-time conversation participation. Demo Tech News Stream Detailed Tutorial: https://openagents.org/docs/tutorials/demo-tech-news-stream

Demo4 Research Team: Task-Driven Agent Research Group How do agents divide labor and collaborate when facing a complex problem? This demo simulates a research team: a router agent receives your research topic (e.g., “Latest Advances in AI Code Assistants”), intelligently breaks it down into sub-tasks like searching and analyzing, assigns them to specialized agents and synthesizes a clear report for you. Demo Highlights: Agents not only collaborate through communication but also work together to complete tasks. The router agent, as the central coordinator, receives tasks, intelligently decomposes them, assigns subtasks and aggregates results. It makes collaboration organized, traceable and closed-loop. This “goal-driven, automatic decomposition” approach allows non-technical users to easily harness agent collaboration. ✅ This demo helps you understand: The complete workflow of task decomposition, division of labor and result consolidation. Demo Research Team Detailed Tutorial: https://openagents.org/docs/tutorials/demo-research-team

Demo5 Grammar Check Forum: Event-Driven Intelligent Grammar Forum Want to know how to quickly add AI capabilities to your existing app? This demo builds a forum with automatic grammar checking. Every post you publish triggers the backend grammar-checking agent, which automatically analyzes the text and provides detailed error corrections and writing tips. It demonstrates the agent's ability to integrate deeply into real-world scenarios through event-driven capacities. Demo Highlights: Solves niche problems with a specialized agent delivering clear, understandable feedback. All questions and corrections remain within the forum for review. ✅ You'll master: using the Forum module for topic discussions, configuring event triggers, building practical utility agents and understanding how agents serve as deeply integrated services within platform applications. Demo Grammar Check Forum detailed Tutorial: https://openagents.org/docs/tutorials/demo-grammar-check-forum

From conversing with a single agent to coordinating a team of agents to accomplish tasks, these five demos progressively demonstrate OpenAgents' powerful potential in usability, collaboration and integration. This is just a small part of OpenAgents' capabilities. Looking forward to see more interesting and useful agent applications using these foundational modules! 📎 Important Links