Google Research has introduced WikiSkill, a framework that gives AI agents a persistent knowledge base. Agents no longer discard what they learn after each run; instead, they log successes and failures in a wiki-like structure and keep improving over time. Larger models gain the most from the framework, while smaller models using WikiSkill can match the performance of larger models without it. (The Decoder)
Google Research has unveiled WikiSkill, a new framework designed to give AI agents a persistent knowledge base. Instead of discarding what they learn after each run, agents record both failures and successes into a wiki-like structure, drawing on that accumulated knowledge to improve over time.
Larger models appear to benefit the most from the approach. Still, the researchers found that smaller models equipped with WikiSkill can reach performance comparable to larger models running without it. The news was reported by The Decoder.
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