Documentation

Self-Evolution

How a Space improves its own templates, roles, Skills and memory from evidence, through two loops: the evolution matter and the nightly review.

Self-evolution is how a Space gets better at its own work from evidence. Agents find where work keeps going wrong, change the smallest layer that causes it, and keep the change only when the readings show it helped. The One runs it as two loops: the evolution matter, which you start, and the nightly review, which runs by itself.

Two loops

The evolution matterThe nightly review
StartsWhen you ask the main assistant to make the Space better at its own work; after that, a weekly census on Mondays at 10:00 that skips weeks with nothing newEvery night at 03:30, only when there is new friction or an earlier change to look at
Worked byThe lab working group: Director, Patcher, VerifierOne Agent, the Reviewer
ReadsWhere real work went wrong, how the nightly review's changes did, and the lab's own scorecardFriction in real use: repeated tool failures, loops, detours, questions to you, reworks, one working group's reply sent back by another, Agents stuck in errors
ChangesThe smallest layer that failed: memory, a Skill, a role, a template or codeA lesson in memory or a Skill; for prompts, templates or the platform it writes a proposal instead
How a change is judgedBefore it ships: the failed step is replayed, then the target cases run beside the current version, then untuned cases, then sealed ones. It ships only if it clears the bar written down before the first readingAfter it takes effect: each change is read before and after against the friction it targets, and the Reviewer undoes or reworks one that made things worse or did nothing by its deadline
Where you see itThe Evolution matter's page: its figures, the change under test, the changes triedThe morning report: Last night's review and Last week's reviews

What keeps it honest

  • Evidence first. Both loops start from what actually went wrong in this Space's work, and act only on what recurs with a mechanism they can name.
  • Written down before it is read. What a change should fix, what it must not break and by when are recorded before its first reading, so a result cannot be picked after the fact.
  • Small and reversible. One change at a time, at the smallest layer. The lab keeps the old version frozen; the nightly review's changes go through the Action log, and you can undo any of them from the morning report. The Reviewer's procedure tells it not to repeat a change you undid.
  • No approval gate. Inside the loop the Director decides, not you. The lab's instructions tell it to stop at a proposal rather than carry out a high-risk external side effect itself; that is the Agents' own rule, not a gate the host enforces. As everywhere in The One, nothing blocks a tool call: safety is the record and undo.
  • Your own Space. The official Space is read-only: there, neither loop can change anything, and the lab keeps what it finds as a proposal until you copy the Space.

In the language of A-Genetic Engineering

Self-evolution is directed evolution acting on the genes: watch where the phenotype fails, edit the genotype at the smallest layer, verify, and keep only what helped. See A-Genetic Engineering for the genes, and Evolution: the lab and the nightly review for how to start and follow both loops in the app.