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
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
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