What is PSR.exe and do I need to install it?
PSR.exe (Problem Steps Recorder) is a Windows utility included with Windows 7, 8, and 10. You do not need to download it separately; just search for it in the start menu.
@u3588064
To teach LLM Agents understand workflows with PSR.exe's hmt.
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
WorkflowLearner is a tool that uses PSR.exe (the Windows Problem Steps Recorder) to record user operations into MHT files, then parses those files and feeds the extracted workflow information to a large language model (LLM) so the LLM can learn and understand the user's workflow. It is designed for users who want to automate or analyze step‑by‑step procedures on Windows.
After cloning the repository and installing dependencies (pip install -r requirements.txt), start PSR.exe on Windows, click “Start Record”, perform your actions, then “Stop Record” to obtain a zip containing an MHT file. Run python parse_mht.py path/to/your/file.mht to extract the workflow, then python learn_workflow.py path/to/parsed/data.json to let the LLM learn it.
PSR.exe (Problem Steps Recorder) is a Windows utility included with Windows 7, 8, and 10. You do not need to download it separately; just search for it in the start menu.
It records mouse actions (clicks, drags, scrolls) and keyboard actions (only the fact that a key was pressed, not the actual typed content). The output is a zip file containing an MHT file with step‑by‑step descriptions and screenshots.
Windows operating system, Python 3.x, and PSR.exe (already part of Windows). All Python dependencies are listed in `requirements.txt`.
Run `python parse_mht.py path/to/your/file.mht` in the project directory. The parsed data will be saved in the `data/` folder as JSON.
After obtaining the parsed JSON file, run `python learn_workflow.py path/to/parsed/data.json`. The script will feed the workflow data to the LLM for learning.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
Hindsight: Agent Memory That Learns

Yuppsy MCP: build and publish real estate websites from your AI assistant. Yuppsy lets your AI assistant create live websites for real estate agents and individual property listings. You don't need a designer or any code

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
コメント