Inferable

Inferable is an open-source platform engineered for the rapid development of AI agents, leveraging existing code, APIs, and data. The platform is particularly useful for unifying internal systems and disparate codebases through conversational agents, thereby enhancing internal workflows and tool operations. It delivers a full-featured agent runtime, incorporating integrated agent orchestration to synergize product and domain expertise.

The Inferable architecture is built around a distributed message queue, guaranteeing dependable and scalable AI automations. Developers will find it convenient, thanks to the system's ability to decorate existing functions and APIs, removing the burden of learning new frameworks.

Inferable is compatible with various programming languages, including Node.js, Golang, and C#, with plans for future expansion. A key capability is Human-in-the-Loop modeling, which allows function execution to be paused for an indeterminate period, seamlessly incorporating human input into workflows.

A notable aspect of Inferable is its on-premise execution feature, ensuring that your functions operate solely within your infrastructure, thus limiting the actions they can perform.

This feature enhances system security by removing the necessity for incoming connections or load balancers. Regarding observability, Inferable provides complete, end-to-end visibility into AI workflows and function calls without requiring any configuration.

It also enforces structured outputs and streamlines the composition, piping, and chaining of outputs using language primitives. Finally, Inferable is designed for enterprise use from the start, easily integrating with existing architectures, supporting self-hosting, and providing a managed cloud environment with auto-scaling and high availability.

It supports self-hosting for total data and compute control.