If you're looking for a platform to facilitate collaboration between AI agents and human experts to solve problems, TeamAI is a great option. It's a unified AI workspace where teams can collaborate using a variety of large language models like Gemini, GPT-4 and LLaMA. With features like shared prompt libraries, team usage reports and the ability to build custom plugins, TeamAI is geared for teams in HR, Ops, Design, Hiring, Marketing and Sales. It can help you automate workflows and generate ideas, and you can set up your own workspace in 30 seconds.
Another option with a lot of power is CamelAGI. It lets you build autonomous AI agents that chat with each other and with humans in real time to get work done with a minimal amount of human supervision. CamelAGI marries BabyAGI's loop architecture with AutoGPT's role-playing interface, and it's good for a lot of tasks, including collaborative problem-solving, education and business decision-support. The interface is easy to use, and the technology is powerful enough to automate mundane and complex tasks.
If you're more focused on building and optimizing LLM apps, Humanloop is another good option. It helps you sidestep problems like inefficient workflows, manual evaluation and poor collaboration with a collaborative environment for developers, product managers and domain experts. Features include a prompt management system with version control, an evaluation and monitoring tool, and customization and optimization tools. Humanloop supports multiple LLM providers and offers SDKs for integration, so it's a good foundation for maximizing efficiency and collaboration in AI development.