Mneme HQ

Mneme HQ is a platform designed to enforce architectural intent for teams using AI coding agents. Its primary function is to ensure that AI-generated code adheres to a team's architectural decisions, engineering standards, and project-specific rules before code is produced, rather than relying solely on post-generation review. By operationalizing artifacts such as architecture decision records (ADRs), standards, and project decisions into enforceable constraints, Mneme HQ addresses the problem of architectural drift and intent debt that can arise when AI agents generate code that is functionally correct but misaligned with established system architecture.

The platform compiles these architectural guidelines into rules files, which serve as documentation and active constraints. When an AI coding agent is prompted to generate code, Mneme HQ evaluates the proposed change against these constraints. If the code aligns with the architecture, it is allowed; if not, the system blocks the change and provides guidance for correction, prompting the agent to retry. This constraint evaluation process is positioned as a pre-generation governance layer, ensuring architectural alignment is maintained consistently across agents, sessions, repositories, and continuous integration environments.

Mneme HQ integrates with a range of AI coding tools and agent frameworks, including direct API integrations, coding assistants, and managed agent platforms. It specifically mentions compatibility with tools such as Claude Code, Cursor, GitHub Actions, GitHub Copilot, OpenAI, and others. The platform leverages memory tools to recall relevant context and retrieval-augmented generation (RAG) to access knowledge, but it does not use vector stores or machine learning within its enforcement mechanism.

The intended audience for Mneme HQ is engineering teams employing AI-assisted code generation who seek to preserve architectural integrity and reduce the burden on human reviewers. By automating the enforcement of established decisions, the platform aims to shift human oversight toward higher-level engineering judgment rather than revalidating known constraints.