🌐 GERP (Google-Enterprise Resource Planning)

GERP is a FAANG-grade, multi-domain Enterprise Resource Planning (ERP) matrix. GERP demonstrates how to scale massive distributed data systems using absolute Domain-Driven Design (DDD), cross-domain Temporal Sagas, and zero SQL foreign keys.

This is not just an ERP. It is a self-aware corporate engine exposed natively to AI agents via the Model Context Protocol (MCP).

Designed to utilize the Google Workspace API for iam role management, permissions, and identity, then integrating all Gsuite tools & apps natively, creating a seamless ERP management system that completes the Google Workspace experiemce. Everything you need to run a business of any size, infinitely customizable, from a single vendor. Lightweight, lightspeed, Go code with the QuanuX Knowledge Vector enabling AI agents to build your ERP to their AGI standards while you focus on your business.

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🏛️ Core Architectural Pillars

1. The Golden Thread (Zero SQL Foreign Keys)

To achieve infinite horizontal scale, GERP completely abandons database-layer foreign keys between domains. A SalesOrder in Revenue does not use an SQL JOIN to find a Customer in Master Data. Instead, GERP employs the Golden Thread: strict uuid.UUID pointers managed in application space. Each domain owns its Spanner tables exclusively.

2. Distributed Temporal Sagas

Because domains are isolated, GERP cannot rely on single-database ACID transactions. Instead, it uses Temporal Workflows as its nervous system. If an order allocates physical inventory in the SCM domain but fails to lock the ledger in the Finance domain, Temporal automatically executes a mathematical Compensating Rollback (ReverseInventoryActivity) to guarantee eventual consistency and eliminate phantom locks.

3. The GraphQL Backend-For-Frontend (BFF)

Clients never see the distributed complexity. The Go-based GraphQL Gateway (cmd/gateway) receives a unified query and fans out requests across the isolated micro-domains in memory, resolving the Golden Thread UUIDs instantly into beautiful, deeply nested JSON graphs.

4. The MCP Brain Interface

GERP is designed to be operated by AI. The built-in Model Context Protocol server (cmd/mcp) exposes the Spanner audit logs, system status, and Temporal Saga triggers over standard JSON-RPC STDIO. Point Claude Desktop or Cursor at this repository, and the AI can run the company.

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🏗️ The 8 Tier-1 Domains

GERP separates its global state into perfectly isolated execution environments:

• 💰 Finance (internal/finance): The immutable double-entry ledger.
• 👥 Human Capital (internal/hcm): The employee and payroll engine.
• 📦 Supply Chain (internal/scm): Physical inventory and SKU tracking.
• 🏭 Enterprise Asset (internal/eam): Infrastructure and warehouse management.
• ⚖️ Legal (internal/legal): The append-only SOC2/SOX compliance audit log.
• 📈 Revenue (internal/revenue): Top-line sales and customer relationship mapping.
• 🎓 Learning (internal/lms): Educational compliance and safety certifications.
• 🌐 Master Data (internal/mdm): The Universal Translator connecting localized IDs to a single "Golden Record".

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📝 The Content Engine (COAMS)

COAMS (Content Operating and Management System) is the centralized, AI-First knowledge engine of the GERP matrix. It serves as the definitive single point of truth for all internal and external content delivery.

Traditional headless CMS JSON/AST structures have been discarded. COAMS natively speaks Markdown, making it perfectly optimized for massive AI agent contextual ingestion.

It is an "Ignorant Engine" that chunks raw .md files into physically sharded AlloyDB vector embeddings (pgvector) while mathematically guaranteeing zero broken internal links via the Agent-Index (doc:uuid). It integrates autonomously with the GraphQL BFF, regenerating schema definitions dynamically as new content partitions are mapped.

COAMS is completely self-bootstrapping and teaches external LLM agents its own architecture. Agents and human operators alike can directly consult the injected QuanuX Knowledge Vector SKILL.md and its dynamically generated Unix-style CLI manual pages to mechanically navigate the content repository.

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🚀 Getting Started (Local Matrix)

GERP includes a massive infrastructure control plane designed for local Docker execution.

1. Boot the Infrastructure (Spanner, Temporal, Redis)

make up
make init-db

2. Inject the Genesis State (Seed the Matrix)

go run ./cmd/seed/main.go

3. Start the Execution Engines

# Terminal 1: Boot the Temporal Orchestrator
make run-worker

# Terminal 2: Boot the GraphQL Gateway
make run-gateway

4. Command the Matrix You can fire cross-domain Sagas using the native CLI Operator:

go build -o gerp ./cmd/gerp
./gerp orders create
./gerp audit view 99999999-9999-9999-9999-999999999999

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🧠 Hooking up your AI (MCP Server)

To allow your AI IDE to read GERP's physical state and trigger workflows, add the following to your .cursor/mcp.json or Claude Desktop configuration:

{
  "mcpServers": {
    "gerp-matrix": {
      "command": "go",
      "args": ["run", "./cmd/mcp/main.go"],
      "env": {
        "GERP_GRAPHQL_ENDPOINT": "http://localhost:8080/query",
        "GERP_TEMPORAL_HOST": "localhost:7233",
        "GERP_SPANNER_DB": "projects/gerp-local-dev/instances/gerp-instance/databases/gerp-db"
      }
    }
  }
}

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