MnemeHQ

Mneme

Name: Mneme
Author: MnemeHQ

AI community

SOURCE https://github.com/MnemeHQ/mneme

Description

Open-source architectural drift prevention for the agentic AI SDLC. Deterministic guardrails keep AI coding agents aligned with repository architecture.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

Mneme HQ

**Architectural drift prevention for the agentic AI SDLC.**

Mneme turns architectural decisions and ADRs into deterministic guardrails for the agentic AI SDLC — across coding agents, repository mutations, generated rules, and CI gates.

[![Tests](https://github.com/MnemeHQ/mneme/actions/workflows/tests.yml/badge.svg)](https://github.com/MnemeHQ/mneme/actions/workflows/tests.yml) [![PyPI](https://img.shields.io/pypi/v/mneme-hq.svg)](https://pypi.org/project/mneme-hq/) [![Python](https://img.shields.io/pypi/pyversions/mneme-hq.svg)](https://pypi.org/project/mneme-hq/) [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)

Mneme is the architectural governance layer behind that drift-prevention mechanism. It keeps recorded engineering decisions active as AI coding systems propose and modify code, instead of leaving ADRs as passive documentation.

**Current phase:** Layer 1 validation. Retrieval, enforcement, and benchmark semantics are governed by the accepted architecture and freeze record. See [Current Phase](docs/architecture/current-phase.md) before changing core behavior.

What Mneme does

Mneme separates architectural guidance from deterministic enforcement:

Records architectural decisions in a structured, auditable decision corpus.
Retrieves relevant decisions when an agent or model needs architectural guidance.
Enforces governed rules deterministically under explicit applicability semantics.
Integrates at the earliest reliable boundary exposed by each coding workflow.
Audits bypassable mutation paths where pre-change blocking is not technically available.
Runs in CI as a final deterministic gate before incompatible changes are accepted.

The same input and governed decision state produce the same enforcement result. Mneme does not depend on an LLM judge for its core allow/warn/fail decisions.

Mneme is not a general-purpose vector store, conversational memory system, autonomous codin