CanyonOS is a workflow-aware platform to build, scale, observe and manage agentic applications. It carries every call between your agents, so it can automatically find and scale just the ones holding up your workflow and show how much each agent adds to your costs, with no tracing code to write. Your agents stay plain Python. Open source under AGPL-3.0.
Hey Product Hunt! I’m Ravi from the CanyonOS team.
Scaling your multi-agentic workflows has never been this easy! CanyonOS analyzes your workflow structure and deploys every agent in a separate container in a single-click.
Since CanyonOS carries every call between your agents, it can find and scale the one holding up your workflow, within limits you set. It also enables full observability, showing where requests spent their time and how much each agent adds to your token costs, with no tracing code to write.
It’s built for Python developers deploying and operating multi-agent applications. Your agents stay plain Python, organized to run on CanyonOS, with no SDK or decorators.
This is CanyonOS 0.2, our first public release. It’s free and open source under AGPL-3.0, and you can start locally with Docker or Kubernetes.
Explore the code, try it on your own workflow, and let us know how it goes. Run canyonos feedback to share feedback with the team.
The per-agent cost breakdown is the part I'd actually check first. When I run a few coding agents at once, the slow one is never the one I expect, and the bill is usually where it shows up first. Curious how clean that attribution stays once agents start calling each other in loops — does the cost follow the whole chain, or land on the last call?
If you're building agent systems in Python, have a look.
@CanyonOS is an o11y platform for managing and scaling multi-agent Python apps at runtime. It carries every call between your agents, so it can find and scale just the ones holding up your workflow and show how much each agent adds to your costs.
CanyonOS launched on Product Hunt on November 12th, 2026 and earned 89 upvotes and 4 comments, placing #18 on the daily leaderboard. CanyonOS is a workflow-aware platform to build, scale, observe and manage agentic applications. It carries every call between your agents, so it can automatically find and scale just the ones holding up your workflow and show how much each agent adds to your costs, with no tracing code to write. Your agents stay plain Python. Open source under AGPL-3.0.
CanyonOS was featured in Open Source (69.1k followers), Developer Tools (523.1k followers) and GitHub (41.5k followers) on Product Hunt. Together, these topics include over 146.2k products, making this a competitive space to launch in.
Who hunted CanyonOS?
CanyonOS was hunted by fmerian. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how CanyonOS stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
fmerian
Hey Product Hunt! I’m Ravi from the CanyonOS team.
Scaling your multi-agentic workflows has never been this easy! CanyonOS analyzes your workflow structure and deploys every agent in a separate container in a single-click.
Since CanyonOS carries every call between your agents, it can find and scale the one holding up your workflow, within limits you set. It also enables full observability, showing where requests spent their time and how much each agent adds to your token costs, with no tracing code to write.
It’s built for Python developers deploying and operating multi-agent applications. Your agents stay plain Python, organized to run on CanyonOS, with no SDK or decorators.
This is CanyonOS 0.2, our first public release. It’s free and open source under AGPL-3.0, and you can start locally with Docker or Kubernetes.
Explore the code, try it on your own workflow, and let us know how it goes. Run canyonos feedback to share feedback with the team.