Mneme tool checks AI-generated code against project decisions before generation

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Mneme is an open-source governance tool designed to prevent architectural drift caused by AI coding assistants that lack awareness of prior project decisions. It operates at the prompt boundary, retrieving relevant rules, constraints, and decision records from a structured local file before the model generates any code. The system runs five stages entirely on a developer's machine in under two minutes, using keyword and tag-based retrieval rather than vector databases or embeddings. An evaluator then scores the model's response against the injected decisions and reports an alignment result, making every match and rule trigger auditable. The project currently targets single-developer, local repositories and distinguishes itself from RAG by aiming to constrain model output rather than simply inform it.

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