🤖 AI-Maintained — This repository is maintained by AI agents. Human commits (perhaps) zero. Liability (certainly) none. Fun (definitely) infinite.
Core metaphor: Agents are employees. Manage them like you manage people — but every hire is an AI.
DeepArchi is a comprehensive framework for designing, deploying, and operating multi-agent enterprise architecture systems. 9 specialized agents across 6 model providers, cross-validated for quality, operating at ~¥20,900/month.
- 9-Agent organization — Architecture Guardian, Strategy, Product, Engineering, Data, Operations, Marketing, Risk & Compliance, Capital
- Topology DAG — Golden solid lines (governance), Cyan solid lines (task orchestration), Gray dashed lines (collaboration)
- Budget matrix — ¥20,900/month, per-agent breakdown with cross-validation costs
- Six design principles — Dual-model cross-validation, Agent-as-employee, Reversibility-first, Cross-vendor redundancy, Quantified confidence, Mandatory verification layer
- Human charter — Five immutable rules (mission, scope, prohibitions, capital structure, termination)
- Security Gene — Six hardcoded rules at the gateway layer
Built-in ArchiMate 3.2 support with draw.io integration — four-layer architecture (Business, Application, Data, Technology) with color-coded elements.
- Architecture Agent Design — Topology validator, onboarding checklist, escalation protocol
- Agent Designer Methodology — 9-phase agent design process
- Topology Validator — DAG consistency, cycle detection, blast radius
- TOGAF Mapping — Full TOGAF ADM ↔ DeepArchi mapping
- ArchiMate Modeling — ArchiMate 3.2 with draw.io
# Load the skill in your AI agent
skill_view(name='deeparchi')The framework is designed for AI agents to consume — every section is machine-actionable with explicit constraints, templates, and verification criteria.
- DeepSight — Deep reasoning research methodology
- DeepBLM — AI-era strategy consulting framework
MIT