Memory

Automations get better the more they run. Helix can learn from past runs, so patterns that show up repeatedly become faster and more consistent over time.

What memory does

As an automation runs, Helix can capture what worked — how a common case was handled, which classification was right, what a good draft looked like — and apply those learnings to future runs. Each Helix accumulates its own success rate and set of learned patterns from its run history, so an automation you’ve run a hundred times behaves more consistently than one you just built. The result is an automation that improves with use rather than starting cold every time.

Memory is scoped to your workspace and to the automation, so what one Helix learns stays with it and never leaks across tenants.

Keeping it in your control

Memory is a boost, not a black box:

Learnings inform how steps run; your guardrails and HITL approvals still apply on every run.
You stay in charge of the automation’s definition — memory tunes behavior within the steps and controls you set, it doesn’t rewrite them.