English** · 繁體中文 · 日本語 · Español · Português · Deutsch · Français · Русский

AIエージェントの設計、シミュレーション、独自のAspen Plusで化学プロセスを最適化してみましょう。 すべてのステップを見ながら、料金をお支払いください。

Aspen Co-pilotは、Claude CodeやCodexなどのAIエージェントにAspen Plusを接続します。 モデルコンテキストプロトコル(MCP)。 明白な言語のプロセスを記述します;代理店はします Aspenで働くと、それを見直します。

Windowsのみ。 ライセンスされているAspen Plusが必要です。このプロジェクトには含まれていません。 NCKU GESE Lab.が開発

できること

プロセスの構築と変更。 説明からフローシートを作成する — コンポーネント、プロパティ メソッド、反応、ユニット操作、ストリーム - 任意のパラメータを設定し、調整し、実行します シミュレーションと結果を読みます。 ほとんどのAspen Plus機能は利用できます。

文学からワーキングモデルへ。 AIクライアントのリサーチツールで、エージェントは ペーパーおよびパテントからkinetics、作動状態およびプロセス ルートを集め、造ります ソースから確認できます。

実行が失敗する理由を調べてください。 実行前にAspenが必要とするものをチェックし、失敗を説明します

Aspen Co-pilot

English · 繁體中文 · 简体中文 · 日本語 · 한국어 · Español · Português · Deutsch · Français · Русский

Let an AI agent design, simulate and optimize chemical processes in your own Aspen Plus — while you see every step and stay in charge.

Aspen Co-pilot connects Aspen Plus to AI agents such as Claude Code and Codex through the Model Context Protocol (MCP). You describe the process in plain language; the agent does the work in Aspen, and you review it.

Windows only. You need your own licensed Aspen Plus; this project does not include it. Developed by NCKU GESE Lab.

What it can do

Build and change processes. Create a flowsheet from a description — components, property methods, reactions, unit operations and streams — set and adjust any parameter, run the simulation and read the results. Most Aspen Plus functions are available.

Go from literature to a working model. With your AI client’s research tools, the agent can gather kinetics, operating conditions and process routes from papers and patents, then build them into an Aspen model you can check against the sources.

Find out why a run fails. It checks what Aspen still needs before a run, explains failed runs and warnings, and fixes them. Fixes that worked are kept on your machine for next time.

Optimize the process. Nine algorithms behind one tool — NSGA-II, NSGA-III, PSO, DE/GDE3, gradient (SLSQP), grid search and three Bayesian methods (BO, CBO, AFM-CBO) — for single- or multi-objective problems with constraints, plus pinch analysis and heat-exchanger match suggestions for heat integration.

Look things up instead of guessing. A reference for every block, stream and setting (aspen-mcp/docs) that the agent consults before it changes a field.

Built for working with people

An LLM agent that operates software on its own is hard to trust: you cannot see what it changed or why, or stop a mistake before it reaches the model. Aspen Co-pilot closes that gap with the Aspen Workbench, a desktop window beside Aspen Plus.

• See what the AI does. The flowsheet, the results and every change the AI made, with its reason, update live. Undo any change, or go back to a restore point.
• Stay in control. In review mode the AI’s changes wait for your approval; larger changes arrive as proposals that only you can run.
• Define the work yourself with block programs. Assemble parameter sweeps, calculations, tables, charts and optimization studies — your own variables, objectives and constraints — from drag-and-drop blocks, with no code. The AI can write a program for you to edit, or run yours.
• Work together. Click any stream or block and Ask AI about it. In learning mode the AI explains the process principle behind each change.