Integration

Process Orchestrator

Name: Process Orchestrator
Rating: 3.5 (1 reviews)
Author: may3rd

By may3rd 👁 60 views ▲ 0 votes

Multi-agent chemical process design workflow — Agent Plugins v1.0.0 portable plugin with 12 sub-agent skills, PES MCP integration, and OpenClaw extension namespace.

Homepage GitHub

Install

pip install -r

README

# Process Orchestrator — Agent Plugin

**Multi-agent chemical process design workflow** — from problem statement through requirements, research, concept selection, flowsheet design, equipment sizing, safety review, and gate approval.

Packaged as an [Agent Plugins](https://agent-plugins.org) v1.0.0 portable plugin.

## What It Does

Given a high-level problem statement (e.g., "Design a compressed air unit for a refinery"), this plugin orchestrates 12 specialized sub-agent skills to produce a complete conceptual design package:

1. **Requirements Analysis** — Extract structured requirements
2. **Innovative Research** — Generate 3–6 process concepts
3. **Conservative Evaluation** — Score concepts for feasibility and risk
4. **Concept Detailing** — Select and elaborate the winning concept
5. **Component List** — Identify key chemicals with physical properties
6. **Design Basis** — Compile Basis of Design document
7. **Flowsheet Design** — Create process flow narrative
8. **Equipment/Stream Catalog** — Seed JSON templates
9. **Stream Properties** — Reconcile heat & material balance
10. **Equipment Sizing** — Size all equipment (uses PES MCP)
11. **Safety Review** — HAZOP-style hazard assessment
12. **Gate Approval** — Final approval memo with financial summary

## Plugin Structure

```
process-orchestrator/
├── plugin.json              # Agent Plugins manifest
├── mcp.json                 # PES MCP server config
├── skills/                  # 13 Agent Skills
│   ├── orchestrator/        # Pipeline orchestrator
│   ├── process-requirements-analyst/
│   ├── innovative-researcher/
│   ├── ... (12 sub-agents)
│   └── project-manager/
├── ai.openclaw/             # OpenClaw extension namespace
│   ├── config/              # LLM defaults, graph config
│   └── hooks/               # Lifecycle hooks
├── scripts/                 # Shared Python scripts
├── references/              # Architecture docs
├── LICENSE
└── CHANGELOG.md
```

## Requirements

- **Agent Plugins-compatible client** (e.g., OpenClaw, Cursor, VS Code with Agent Plugins support)
- **LLM access** — OpenRouter or compatible API (configured in `ai.openclaw/config/defaults.json`)
- **PES MCP server** — For equipment sizing and stream calculations (configured in `mcp.json`)
- **Python 3.10+** with CoolProp — For physical property lookups

## Quick Start

```bash
# Clone the plugin
git clone https://github.com/may3rd/process-orchestrator-plugin.git

# Install Python dependencies
cd process-orchestrator-plugin
pip install -r requirements.txt

# Set environment variables
export PES_API_KEY="your-pes-api-key"
export OPENROUTER_API_KEY="your-openrouter-key"

# Run standalone (without client)
python scripts/run_orchestrator.py "Design a compressed air unit for a refinery (300 Nm³/h)"
```

## Configuration

- **`ai.openclaw/config/defaults.json`** — LLM provider, models, temperature, tool methods
- **`ai.openclaw/config/graph.json`** — Pipeline sequence, state schema, agent reads/writes
- **`mcp.json`** — PES MCP server endpoints (Streamable HTTP + stdio fallback)

## License

MIT

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