Two Loops of Evolution

The online loop only performs tasks and logs evidence—it does not modify the official agent. The offline loop aggregates trajectories, diagnoses root causes, creates candidate changes, and publishes a new version after passing verification thresholds. The loops are connected by a versioned experience base and evaluation suites. Separating logging from systematization prevents immediate modification due to random success, network glitches, or malicious input, and enables larger batches with cheaper models. Voyager: automated curriculum + skill library + environment verification—all three are necessary.

Related: [Continuous Agent Evolution], [Verify-Release-Revert], [Dream Learning]