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Multi-Agent Builder enables collaborative AI agents to design, develop, and optimize complex systems efficiently.
N/A
CatchTheTornado
2023
Multi-Agent Builder by CatchTheTornado is an open-source framework designed to simplify creating collaborative AI systems. It empowers developers to deploy multiple intelligent agents that interact seamlessly, simulating real-world teamwork in tasks like data processing or decision-making. By leveraging modular components and flexible configurations, it accelerates building sophisticated multi-agent setups without starting from scratch. Ideal for innovation-driven projects, it fuels AI exploration with collaborative autonomy.
Multi-Agent Builder is ideal for creating complex multi-agent systems, simulations, and collaborations across various industries efficiently.
Basic Multi-Agent capabilities
Limited number of agents
Community support
Advanced Multi-Agent features
Increased agent limits
Email support
Custom integrations
Unlimited agents
Dedicated support and onboarding
Platform | Description | Pricing | Website |
---|---|---|---|
OpenAI GPT-4 | A state-of-the-art language model developed by OpenAI for creating conversational agents. | OpenAI GPT-4: Usage-based pricing starting at $0.03/1K tokens | |
Google Bard | Google's conversational AI designed to generate human-like responses and assist in various tasks. | Google Bard: Free with limited access, enterprise options available | |
Microsoft Azure AI | Microsoft's cloud-based AI platform offering tools for building and deploying multi-agent systems. | Microsoft Azure AI: Pay-as-you-go pricing based on usage | |
IBM Watson Assistant | An enterprise AI platform enabling developers to build, train, and deploy chatbots and virtual assistants. | IBM Watson Assistant: Subscription plans starting at $0.0025 per message | |
Rasa | An open-source framework for developing conversational AI and multi-agent environments. | Rasa: Open-source with enterprise license options |
Multi-Agent Builder is an intuitive platform that simplifies creating multi-agent systems with its user-friendly interface and flexible tools. Perfect for beginners and pros alike, it makes building complex interactions straightforward, though expanding its collaboration features could make it even better.
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