⚠️ PROJECT STATUS: PRE-ALPHA / ACTIVE DEVELOPMENT
This platform is under heavy construction. The architecture is stable, but APIs, data models, and infrastructure integrations are subject to breaking changes.
Not production-ready.
ERPS (Engineering Resource Planning System) is an AI-native engineering control plane designed to orchestrate, govern, and optimize complex engineering workflows using:
- Multi-agent AI execution
- Deterministic governance & policy enforcement
- Distributed workflow orchestration
- High-fidelity telemetry & observability
- Secure identity propagation
Unlike traditional business ERP systems, ERPS acts as an intelligent operating system for engineering processes, enabling:
- Safe AI automation
- Enterprise-grade policy enforcement
- Distributed workflow control
- Autonomous engineering pipelines
This repository contains the public interface contracts, SDKs, architecture definitions, and integration patterns for the ERPS platform.
It does NOT contain private core engines, orchestration runtimes, or governance logic.
ERPS is designed as a distributed, modular, policy-driven execution platform.
┌──────────────────────┐
│ Clients │
│ (API / SDK / UI) │
└─────────┬────────────┘
│
▼
┌──────────────────────┐
│ API Gateway │
│ (Ingress + Routing) │
└─────────┬────────────┘
│
▼
┌──────────────────────┐
│ Access Control │
│ (AuthN / RBAC / │
│ Identity) │
└─────────┬────────────┘
│
▼
┌──────────────────────┐
│ Step Management │
│ (Workflow Engine) │
└─────────┬────────────┘
│
▼
┌─────────────────────────────────────┐
│ Rules Engine │
│ (Deterministic Governance Layer) │
└─────────┬──────────────┬────────────┘
│ │
▼ ▼
┌───────────────────┐ ┌────────────────────┐
│ Knowledge Engine │ │ AI Orchestration │
│ (RAG + Memory) │ │ (Multi-LLM Router) │
└─────────┬─────────┘ └─────────┬──────────┘
│ │
▼ ▼
┌─────────────────────────────────────┐
│ Reporting & Analytics Engine │
│ (Telemetry, Cost, Quality, Metrics)│
└───────────────┬─────────────────────┘
▼
┌──────────────────────┐
│ Data Layer │
│ (DB / Cache / Store) │
└──────────────────────┘
- Ingress: API Gateway receives request
- Validation: Access Control verifies identity and permissions
- State Tracking: Step Manager creates workflow & tracks state
- Governance (Pre): Rules Engine enforces enterprise policies
- Contextualization: Knowledge Engine retrieves context & embeddings
- Execution: AI Orchestrator routes tasks to optimal LLM(s)
- Governance (Post): Output validation & enforcement
- Auto-Correction: AI-assisted remediation
- Telemetry: Analytics engine captures metrics & learning signals
- Domain-Driven Design (DDD): Strict separation of domain boundaries
- Deterministic Governance: AI outputs must satisfy enterprise policies
- Zero Silent Failures: All failures traced, categorized, and handled
- Streaming-Safe Analytics: Deterministic telemetry & replay-safe design
- Multi-Model Arbitration: Intelligent routing across multiple LLM providers
We are building this platform module by module, enforcing strict isolation and deterministic behavior.
| Module | Description | Status |
|---|---|---|
ai_orchestration/ |
Multi-LLM routing, async execution, provider arbitration | ✅ Completed |
step_management/ |
Distributed workflow engine, DDD aggregates, lifecycle FSM | ✅ Completed |
| Module | Description | Status |
|---|---|---|
rules_engine/ |
Deterministic policy evaluation, enforcement, audit trails | ✅ Completed |
access_control/ |
AuthN, RBAC/ABAC, identity propagation | 🏗️ Planned |
| Module | Description | Status |
|---|---|---|
knowledge_engine/ |
RAG, embeddings, auto-correction, trust modeling | ✅ Completed |
reporting_analytics/ |
Telemetry, cost/latency metrics, anomaly detection | ✅ Completed |
data_layer/ |
Unified persistence interface, adapters | ✅ Completed |
| Module | Description | Status |
|---|---|---|
main.py |
Central bootstrap & DI wiring | ✅ Completed |
api_gateway/ |
Async ingress & routing | 🏗️ Planned |
utils/ |
Shared helpers | ⏳ In Progress |
| Module | Description | Status |
|---|---|---|
ui_ux/ |
Dashboards, approval workflows, visualization | 🏗️ Planned |
erps-platform-sdk/ ├── interfaces/
Public interface contracts ├── sdk/
Client SDKs (Python, JS, Go) ├── examples/
Workflow & integration demos ├── architecture/
Design docs & diagrams ├── docs/
Getting started, config, roadmap ├── LICENSE.md
└── README.md
This project follows a controlled open-core strategy.
- Architecture
- Interfaces
- SDKs
- Examples
- Documentation
- Core orchestration engines
- Workflow runtime
- Governance execution logic
- Identity engine
- Infrastructure integrations
This project is released under a Source-Available License.
- Personal use
- Educational use
- Research & experimentation
- Non-commercial evaluation
- SaaS platforms
- Enterprise internal production
- Hosted AI services
- Redistribution
See LICENSE.md.
- Platform engineers
- AI infrastructure developers
- Workflow automation architects
- Distributed systems engineers
- Enterprise AI integrators
This platform is:
- Pre-alpha
- Under heavy development
- Architecture-stable
- API-unstable
Expect breaking changes.
This is my first open-source engineering platform.
I tried to build something ambitious and robust.
I promise to keep improving it continuously.
Thank you for visiting