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ShadowFrog is an open-source system that builds a persistent shadow knowledge base for coding agents, enabling them to remember code across sessions and improve bug detection, retrieval, and feature ideation through autonomous exploration.
An independent developer quietly shipped a working “LLM Wiki” system—persistent memory for language models—weeks before Andrej Karpathy publicized the same concept.