Self-hosted AI agent orchestration platform

AIThis description was written by a model from public signals. The facts behind it are listed under Evidence.

Problem

Teams building AI agents need infrastructure to manage, deploy, and run them reliably. Existing solutions like Claude Managed Agents and OpenAI's Agents API are cloud-hosted and vendor-locked, limiting control, customization, and cost predictability for organizations with specific infrastructure requirements or data sovereignty concerns.

Solution concept

An open-source, self-hostable managed agent platform that provides the operational benefits of a managed service (durability, orchestration, reliability) while allowing teams to run it on their own infrastructure, avoid vendor lock-in, and maintain control over data and customization.

Who has it

Software teams and enterprises building AI agent applications who need self-hosted infrastructure, including those with data governance requirements or preference for open-source solutions.

How they handle it today

Teams currently use Claude Managed Agents and OpenAI's Agents API, which are cloud-based managed services. They either accept vendor lock-in and cloud infrastructure or build their own agent runtime from scratch.

Why now

Cloud-based AI agent platforms (Claude Managed Agents, OpenAI Agents API) have validated the market need for managed agent infrastructure. Open-source alternatives are gaining traction as teams seek control, data sovereignty, and cost optimization.

How it could charge

Inference: Usage-based or subscription pricing for commercial support, hosted managed service tier, enterprise features, or consulting services for deployment and integration.