bpmn-assistant — LLM Plugin by jtlicardo

by jtlicardo · LLM Plugin · ★ 124

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About bpmn-assistant

LLM-powered creation, editing, and interpretation of Business Process Model and Notation (BPMN) diagrams. https://github.com/user-attachments/assets/2f17bd99-f6fb-47a2-b33e-2190c3a834e2 Quickstart Option 1: Use the hosted version The easiest way to get started - no setup required! Visit bpmn-frontend.onrender.com and provide your own API keys directly in the interface. Your keys are stored locally in your browser and never stored on any servers. Option 2: Run locally with Docker Clone the repository Set up your environment variables Linux, macOS Windows Open the file and replace the placeholder values with your actual API keys. Build and r

anthropicbpmnclaudegeminigpt-5kimi-k25llmopenai

Quick Facts

Stars124
Forks43
LanguagePython
CategoryLLM Plugin
LicenseMIT
Quality Score45.25/100
Open Issues2
Last Updated2026-04-29
Created2023-11-11
Platformsclaude-code, gemini, python
Est. Tokens~128k

Compatible Skills

These tools work well together with bpmn-assistant for enhanced workflows:

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Frequently Asked Questions

What is bpmn-assistant?

bpmn-assistant is LLM-powered assistant for creating, editing, and interpreting business process diagrams. It is categorized as a LLM Plugin with 124 GitHub stars.

What programming language is bpmn-assistant written in?

bpmn-assistant is primarily written in Python. It covers topics such as anthropic, bpmn, claude.

How do I install or use bpmn-assistant?

You can find installation instructions and usage details in the bpmn-assistant GitHub repository at github.com/jtlicardo/bpmn-assistant. The project has 124 stars and 43 forks, indicating an active community.

What license does bpmn-assistant use?

bpmn-assistant is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to bpmn-assistant?

The top alternatives to bpmn-assistant on Agent Skills Hub include holysheep-cli, cai, UnrealGenAISupport. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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