One canvas for every
intelligent workflow.
Build your workflow on a canvas, test it in the same environment, and deploy when it's ready. Triggers, agents, integrations, and logic all live in one place.
A workflow builder where every step can think.
Most automation tools were built for a deterministic world: if-this-then-that. Hypero is different. Every node on the canvas can call an AI model, run an agent, or branch on reasoning — without leaving the workflow.
You can wire a webhook into an agent that classifies a message, then route it through deterministic steps that update a database, post to Slack, and stream a response back. Each step is observable, retryable, and versioned.
The result is a single tool that replaces the patchwork of Zapier-like automations, custom backends, and prompt scripts most teams duct-tape together today.
What we actually care about.
Visual first
A canvas that any builder can read at a glance. Workflows are wires, not config files.
Agents as primitives
Drop AI agents into your workflows like any other step. They reason, plan, and call tools.
Built for production
Versioning, observability, retries, and rollouts are part of the runtime — not afterthoughts you bolt on later.
How it works under the hood.
Hypero runs as four layers: triggers kick things off, the reasoning layer handles agent calls, the workflow engine manages execution, and integrations handle the actual work.
Webhooks, schedules, events, manual runs
AI agents that plan, decide, and call tools
Deterministic steps, branches, and retries
200+ connectors and HTTP for everything else
Building with AI shouldn't feel like wiring up scripts at midnight.
Every team we've worked with hits the same wall: the prototype is exciting, but production is brutal. Prompts drift, integrations break, edge cases multiply, and nobody agrees on where the “source of truth” lives.
Hypero exists because automation tools weren't built for agents, and agent frameworks weren't built for production. We give teams a single canvas where the prototype and the production system are the same artifact.
Anyone on the team can read the canvas. Ops can tweak steps without filing a ticket. Engineers can drop in custom code nodes where needed. And every run is logged, replayable, and versioned.
How Hypero compares.
No-code tools don't handle agents well. Agent frameworks don't handle production well. Hypero was built to handle both.
| Capability | Hypero | No-code | Zapier-style | Agent platforms |
|---|---|---|---|---|
| Visual workflow canvas | ||||
| Native AI agents | ||||
| Multi-step branching & loops | ||||
| API + SDK access | ||||
| Self-hostable | ||||
| Reasoning observability |
Want to try it?
Create a free workspace, build your first workflow, and run it. Takes about five minutes.