Google's WikiSkill gives AI agents a persistent memory of past mistakes to sharpen future performance

Google Research has introduced WikiSkill, a framework that gives AI agents a persistent knowledge base. Instead of discarding what they learned after each run, agents document both failures and successes in a wiki-like structure and use that knowledge to get better over time. Larger models benefit…

Google Research has introduced WikiSkill, a framework that gives AI agents a persistent knowledge base. Instead of discarding what they learned after each run, agents document both failures and successes in a wiki-like structure and use that knowledge to get better over time. Larger models benefit more, but smaller models with WikiSkill can match the performance of larger ones without it. The article Google's WikiSkill gives AI agents a persistent memory of past mistakes to sharpen future performance appeared first on The Decoder.

Source: The Decoder — Published August 29, 2026 at 12:51 UTC — Category: Models