Orchestrate workflows that repair themselves instead of falling over.
Connect the systems your workflow actually touches, define it as a graph instead of a script, and let it run under policy rules you control, with a full audit trail of every step, every replan, and every dollar spent.
Most orchestrators stop at the first failure. HyperCortex replans around it, escalates to a human only when a policy says it must, and remembers exactly what happened either way.
Free to start. Bring your own model providers and connectors.
A run that fails halfway is a normal Tuesday, not an incident.
HyperCortex treats failure as an input, not an exception. Every workflow moves through the same four stages, whether it’s a three-step script or a hundred-node agent pipeline.
Define the plan
A workflow is a graph of steps, not a script. Each step names a connector and an action against it: nothing implicit, nothing hidden in a prompt.
Run it under policy
Every step, whether it calls a model or a connector, is checked against your policy rules before it's allowed to execute. No exceptions for "just this once."
Repair, don't collapse
When a step fails, the runner replans around it instead of taking the whole execution down, and anything that needs a human waits for one in Approvals.
Leave a full trail
Every decision, every replan, every token spent is recorded. Cost, latency, and outcome are queryable per run, per agent, per workflow.
Describe the graph. Let the runner handle the failure modes.
Wire up Postgres, Slack, HTTP, or your own connector, then define each step as a specific action against a specific system. Nothing is implicit, nothing lives only in a prompt.
- Workflows as an explicit graph, not a script
- Runtime replanning around failed steps
- Per-step policy checks before anything executes
- Cost, tokens, and latency tracked per run
See what ran, what waited for you, and why.
Approvals surface exactly the steps that need a human, with the context to decide fast. Analytics and the audit trail turn “what happened last Tuesday” into a query, not an investigation.
- Approvals queue for anything policy holds back
- Safety invariants checked on every execution
- Full audit trail: every replan, every effect
- Zero uncompensated effects, or it's an incident
Workflows that repair themselves
Define a plan as a graph of steps. When one fails, the runner replans around it instead of taking down the whole run.
Real connectors, real actions
Postgres, Slack, HTTP, and more: each workflow step calls a specific action against a specific connector, nothing implicit.
Policy-gated by default
Every step, whether it's an LLM call or a connector action, is checked against your policy rules before it's allowed to run.
A workflow that fails silently is worse than one that fails loudly.
Most orchestration tools treat a failed step as the end of the story: the run dies, someone gets paged, and the fix is a retry button. That works until the workflow is doing something that can’t just be retried: a payment, a message already sent, a record already written.
HyperCortex is built around that harder case: replan safely around a failure, compensate the effects that already happened, and keep a record precise enough that “did this actually work?” always has a real answer.