If you want a service to build and run your own AI agents and take care of the production-readiness details, Abacus.AI is a strong contender. The service lets developers build and deploy AI agents at large scale using large-scale neural networks and generative AI methods. It has tools to automate complex processes, integrate data from multiple sources, and add predictive and analytical features. Abacus.AI also handles high availability, governance and compliance, making it a good choice for enterprise environments.
Another good choice is Dify, an open-source foundation for building generative AI applications. Dify offers a visual Orchestration Studio for designing AI apps, secure data pipelines, and customizable LLM agents. It can quickly deploy chatbots and AI assistants and has an on-premise option for data security and compliance. With tiered pricing, Dify is good for businesses and individuals who want to add AI securely and efficiently to their operations.
If you prefer no-code options, NexusGPT offers a lightweight but powerful service for building and integrating custom AI agents. It offers autonomous task completion, a marketplace with more than 1,500 prebuilt agents, and support for multiple AI models. NexusGPT is designed to be easy to use, so even those without programming expertise can build and deploy AI agents to automate workflows and optimize tasks.
Last, LastMile AI is a full-stack developer platform that lets engineers build generative AI applications with confidence. It includes features like automated hallucination detection, an RAG Debugger and a Service Mesh for API gateway access. LastMile AI has a variety of tools to optimize prompts, manage models and debug AI pipelines, so it's a good choice for deploying production-ready AI applications.