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Demo

by Community

Hey there! In this video, I'm excited to share with you our latest project - a Multi-GPT AI assistant that can collaborate towards a common goal. We've built this assistant using

D

Agents

Demo

Added 1 June 2026

Overview

Demo is a community-built Multi-GPT AI assistant system that enables multiple GPT agents to collaborate toward a shared objective. Built with Python and available on GitHub, it assigns distinct goals to each expert agent so they can work together, as shown in a video example where agents cooperate to design and market paper clips.

Best for

Best for
Developers and researchers exploring multi-agent AI collaboration with open-source tools

Use cases

  • Orchestrating multiple AI agents to solve complex, multi-step problems
  • Simulating team-based workflows with specialized agent roles
  • Prototyping collaborative AI systems for research or experimentation

Notes

Demo is a community-built Multi-GPT AI assistant system that enables multiple GPT agents to collaborate toward a shared objective. Built with Python and available on GitHub, it assigns distinct goals to each expert agent so they can work together, as shown in a video example where agents cooperate to design and market paper clips.

Use cases

  • Orchestrating multiple AI agents to solve complex, multi-step problems
  • Simulating team-based workflows with specialized agent roles
  • Prototyping collaborative AI systems for research or experimentation

Pros

  • Open-source and community-driven, allowing full customization
  • Demonstrates practical multi-agent collaboration with clear role separation
  • Provides a concrete example that can be adapted to other goals

Cons

  • Limited documentation beyond the demo video and GitHub repository
  • Requires Python expertise to set up and modify
  • Scalability and reliability in production environments are unproven

Indexed from awesome-ai-agents and enriched against its public facts.

Pros

  • Open-source and community-driven, allowing full customization
  • Demonstrates practical multi-agent collaboration with clear role separation
  • Provides a concrete example that can be adapted to other goals

Cons

  • Limited documentation beyond the demo video and GitHub repository
  • Requires Python expertise to set up and modify
  • Scalability and reliability in production environments are unproven