Agents that know your product as it is now
AI models remember nothing between sessions, and a project changes for months. OneActor keeps what each feature does now, and every agent works from it.
The problem: AI has no memory
Every agent session starts empty: an agent knows only what it is given to read. Many AI tools fill the gap with search. Here is one moment, answered both ways.
Months after you removed customer blocking, an old browser test fails: it still expects a Block button. The agent looks the button up.
Closest matches
- T-42Add a green Block button
- T-57Make the Block button red
- T-88Remove customer blocking
Ranked by how alike they read, not by what is current.
“The page has no Block button, and T-42 says it is green. Building it back.”
A feature you removed, back
Feature register › Customer block
Removed 11 Oct
The regulator forbids blocking customers.
Last state: a red Block button with a confirmation.
- T-42 Built
- T-57 Made red
- T-63 Confirmation
- T-88 Removed
“Blocking was removed on purpose. The test is a leftover: deleting it.”
Your decision, kept
An example.
What the register protects
One current state for each feature, and every change that made it so.
Old tickets tell the truth
Any ticket an agent finds, the oldest included, shows its features as they are now.
Stale tests don't win
A test that still expects a removed feature is a leftover to delete, never a reason to build it again. QA does not report a removed feature as a bug.
Nothing returns without you
Work that reads like something you removed is stopped. Bringing it back is your decision: the Product Owner asks you first.
Nothing extra slips in
Anything built beyond the plan is recorded, and you are told, to keep it or have it taken out.
Nothing disappears by accident
If an agent takes out part of a feature its task did not touch, it is asked to put it back, and the Product Owner is told.
Your own edits count
Changes you commit yourself are read into the memory too. The project's Home shows your features as the agents understand them now, and the ones you removed.
How it works
Every change you ask for goes the same way.
You ask
You ask for a change in the chat, in your own words.
The plan names the feature
The Product Owner plans it as a ticket that names the features it changes, and how.
The code is read after every commit
After each commit, an agent's or yours, the platform reads what changed and records what each feature now does. Earlier states become its history.
Every agent starts from it
Each agent begins with the current state of the features it touches, and the ones you removed.
An honest note
- It is not a guarantee. The agents are AI, and AI makes mistakes: an agent can still misread a ticket, or miss that a new request resembles something you removed.
- The register makes those mistakes rarer as a project grows. We test it on long project histories, with features changed and removed many times over, and keep improving it.
Ready to build?
Describe your first app. The agents take it from there, and production waits for you.