Ailog Solves the AI Agent Opacity Problem: A Semantic Log for Reasoning

AI agents increasingly author production code but leave no trace of their reasoning—creating a critical blind spot for teams maintaining agent-generated changes. Ailog captures this missing context by recording agent decisions in a semantically searchable log, enabling cross-session memory and audit trails that Git alone cannot provide. For organizations running multi-agent pipelines or iterating on AI-authored code, this transforms debugging and decision recovery from forensic guesswork into structured, queryable history.