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EmbedMind-Studio

A web-based Integrated Development Environment (IDE) built with Streamlit and Python, designed for developing, simulating, deploying, and maintaining AI agents on embedded and edge devices.

Overview

EmbedMind-Studio empowers developers and researchers to rapidly build, test, and deploy AI agents tailored for embedded and edge platforms. The intuitive web interface streamlines the entire workflow, from prototyping to deployment, all within your browser.

Features

  • Web-based IDE: No installation required—access the development environment from any browser.
  • AI Agent Development: Write, simulate, and debug AI agent code with real-time feedback.
  • Embedded/Edge Targeting: Tools and deployment options specifically for resource-constrained devices.
  • Streamlit-Powered UI: Fast, interactive, and highly customizable.
  • Python First: Leverage the full power of Python and its AI/ML ecosystem.
  • Simulation & Visualization: Visual tools for testing agent behavior before hardware deployment.
  • Open Source & Extensible: MIT-licensed and easy to extend with plugins or custom modules.

Demo

Watch the video

Quickstart

Prerequisites

  • Python 3.8+
  • pip

Installation

git clone https://github.com/samkamau81/EmbedMind-Studio.git
cd EmbedMind-Studio
pip install -r requirements.txt

Running the Studio

streamlit run app.py

Then open http://localhost:8501 in your browser.

Usage

  • Start new AI agent projects via the web UI.
  • Use built-in templates or import your own code.
  • Simulate and visualize agent performance in real time.
  • Deploy trained agents to supported edge devices directly.

Screenshots

Extending EmbedMind-Studio

  • Add new device integrations by creating modules in the devices/ directory.
  • Extend agent libraries in agents/.
  • Customize UI components by editing Streamlit scripts in ui/.

Contributing

We welcome contributions! Please see the CONTRIBUTING.md for guidelines.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgments

  • Built with Streamlit
  • Inspired by the growing need for accessible embedded AI tooling.

Star ⭐ this repo if you find it useful, and feel free to open issues or PRs!