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maggy vs pro-workflow

Claude Code config pack + optional local harness: TDD-enforcing hooks, 67 skills, quality gates, persistent memory — plus a dashboard routing each task across 13 models by cost-aware blast score. — versus — One SQLite store under every Claude Code session: corrections become FTS5-searchable rules that auto-load, research grows persistent wikis, and 37 hook scripts add quality gates.

The curated verdict

Both persist discipline into Claude Code sessions: pro-workflow is one SQLite store turning corrections into auto-loaded rules; Maggy's Bootstrap layers TDD stop-hooks, quality gates and an intent graph on top — a rulebook vs a regime.

maggypro-workflow
Stars7042.7k
Forks56257
LanguagePythonJavaScript
LicenseMIT
Last activity14 days ago8 days ago
Topicscoding, skillscoding, memory
Curated connections25

maggy — the curator's take

Two products in one repo — know which you're installing. Bootstrap is 30 seconds of files in ~/.claude and gives you the enforcement layer: stop-hooks that hold 'done' hostage to passing tests, quality gates, memory that survives compaction. Maggy is a bigger commitment — a FastAPI server, dashboard and 13-tier router sending ~80% of tasks to DeepSeek, a cost bet you should verify on your own work. 1100+ tests at ★704 is a real signal. Same warning as every kitchen-sink: 67 skills and hooks change how Claude behaves everywhere — read them before they run your sessions.

pro-workflow — the curator's take

The most complete attack on Claude Code amnesia we've mapped: correct it once and the correction becomes a durable, searchable rule; research lands in wikis that persist and even grow via an auto-research loop; hooks add git/secret guards and cost tracking. After 50 sessions the compounding is real. Two cautions: NO license file at review time (all rights reserved by default — same gap as this author's other tools), and 34 skills + 37 hooks is a lot of surface — adopt the memory core first, audit the hooks before letting them gate your commits.