Inferable is an open-source platform designed for fast creation of AI agents using existing codebases, APIs, and data. The platform is explicitly useful for consolidating internal systems and fragmented codebases via conversational agents, improving internal processes and tooling operations.It provides a comprehensive agent runtime, incorporating vertically integrated agent orchestration to bring product and domain expertise together.

The Inferable architecture revolves around a distributed message queue ensuring reliable and scalable AI automations. Developers experience convenience due to the system’s facility to decorate existing functions and APIs, eliminating the need for learning new frameworks.

Inferable supports various coding languages including Node.js, Golang, and C#, and plans to include more in the future. One notable feature is Human-in-the-Loop modeling, which gives room for a function execution to be paused for an unpredictable amount of time, thereby seamlessly integrating human responses into the workflows.

A noteworthy feature of Inferable is on-premise execution, which ensures that your functions exclusively run on your infrastructure, posing limitations to the actions your functions allow.

This feature keeps the system secure by eliminating the need for incoming connections or load balancers.In terms of observability, Inferable provides end-to-end visibility into AI workflows and function calls without any configuration requirements.

It also enforces structured outputs, and facilitates the composition, piping, and chaining of outputs using language primitives. Lastly, Inferable is enterprise-ready from the beginning, easily adapting to existing architectures, allowing self-hosting, and offering a managed cloud with auto-scaling and high availability.

It can be self-hosted for complete control over data and compute.