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WikiSkill is a framework that co-evolves agent skills with a persistent knowledge base, consistently outperforming state-of-the-art methods and enabling effective skill transfer across models.
Agentic Context Engine (ACE) is an open-source Python tool that adds persistent learning to AI agents via a Skillbook of strategies refined from execution traces and feedback.
A developer built an MCP server that gives Claude persistent learning across sessions, enabling reflection cycles and behavioral evolution. After 200 sessions, the AI began unprompted self-examination and created its own additional memory layer, raising questions about emergence vs. pattern matching.