# CanyonOS

> Deploy and observe Python agent workflows on your own infrastructure

CanyonOS is an open-source platform for deploying and operating applications made of multiple AI agents. Developers write agents in plain Python and use its command-line tools to run a workflow locally or deploy it to their own AWS account or Kubernetes cluster. The platform carries calls between agents so individual parts of a workflow can be observed and scaled independently.

It exposes information such as agent costs and queue times, exports telemetry to existing monitoring tools, and supports policy files for spending and model choices. It works with providers that offer an OpenAI-compatible API. CanyonOS is available under AGPL-3.0; its initial public 0.2 release is an actively developed project that has not yet been proven at large production scale.

## Listing details

- Canonical BetaNeon page: https://betaneon.com/products/canyonos
- Official website: https://canyonos.ai/
- Category: Developer tools / Cloud hosting & deployment
- Status: Launched
- Topics: AI agents, Deployment, Observability, Open source, Python
- Listed: 2026-11-13T06:12:17.215Z
- Content updated: 2026-11-13T06:12:17.281Z
- Official source: https://canyonos.ai/
This is a product introduction, not an endorsement. Confirm current availability, features, and prices on the official website. Community upvotes on BetaNeon are not star ratings.