aming-claw: Aming Claw is an open-source, graph-governed control plane for AI-agent code review. It provides a shared dashboard for humans and AI agents, enabling real-time audit of changes, review of proposals, and local-first multi-language support. The V1 focuses on commit-bound graph state, typed AI proposals, review gates, and durable repair rules.; agents-best-practices: A provider-neutral Agent Skill library for designing, auditing, and refactoring agentic harnesses compatible with Codex and Claude Code. It covers the full control plane of an agent runtime: typed tool design, permission checks, context management, memory, and observability. Targeted at developers building production-ready agent systems across any domain or AI provider.
Govern AI-assisted fixes with manual fix workflow
Generate MVP agent harness blueprints for any business domain (CRM, ops, finance, healthcare)