Why does agent versioning fail?

The most common reason agent versioning fails: Versioning without actually preserving the old version. Slapping 'v2' on your current process while letting v1 fade from memory defeats the entire purpose. If you cannot retrieve the previous version and compare it side-by-side with the current one, you have version labels but not version control. The label is decoration. The retrievable diff is infrastructure.

The fix: Choose one agent you actively use — a decision-making heuristic, a weekly review process, a communication protocol, a problem-solving routine. Write down its current form as v_current (assign whatever version number feels right based on how many times you think it has changed). Then reconstruct the previous version — what did this agent look like before the last significant change? Label that v_previous. Note what changed between them and what triggered the change. You now have two explicit versions and one diff. Store them where you keep your knowledge infrastructure.

The underlying principle is straightforward: Track versions of your agents so you can compare, rollback, and learn from changes.