GitHub Repository

AI Engineering Governance Platform — Session memory, feature registry, code intelligence, and rule enforcement for AI coding assistants.

2 starsTypeScript

Massu – Governance layer for AI coding assistants (MCP, 51 tools)

Name: Massu – Governance layer for AI coding assistants (MCP, 51 tools)
Availability: InStock
Author: ethankowen73

by ethankowen73·Feb 23, 2026·1 point·0 comments

AI Analysis

●●●BangerSolve My ProblemBig Brain

Governance layer for AI code: session memory, feature impact detection, rule enforcement—addresses real production pain.

Strengths

•Born from 22 real production incidents; every feature has concrete failure mode attached, not speculative.
•Feature impact tracking (Sentinel registry) and rule engine catch architectural drift and silent breakage—genuinely hard problems.
•Local-first design (npm install, npx massu init) with auto-detection and lifecycle hooks means zero friction onboarding.

Weaknesses

•Requires Claude Code; not portable to Copilot, Cursor, or other AI assistants limits total addressable market.
•Early-stage signals: 0 stars/forks on GitHub, no public metrics on adoption or cost of the cloud tier.