One-command installer for Jupyter + LLM agent sandbox
Project description
🤖 JupyAgent
JupyAgent is a CLI tool that installs a containerized environment running web UIs from Jupyter server, an LLM agent (OpenCode), and a terminal (Zellij).
Features
- 🛡️ Secure Sandbox: Agents operate in an isolated Docker container with controlled read/write access.
- ⚡ Real-time agentic coding in Jupyter: Watch the agent write and execute code in Jupyter Lab in real-time via the MCP protocol.
- 🖥️ Integrated Stack:
- Jupyter Lab: For code execution and notebook management.
- OpenCode: The AI coding agent.
- Zellij: A full-featured terminal workspace accessible via the browser.
- 🚀 One-command management:
jupyagent, a TUI dashboard to manage the tool.
Prerequisites
Quick Start
Run JupyAgent directly:
uvx jupyagent
Usage
-
Setup: On first run, configure your workspace:
- Context Path (Read-Only): Directory the agent can read (e.g., your data drive).
- Workspace Path (Read-Write): Directory where the agent creates files (e.g., your project root).
-
Dashboard:
- ▶️ Start/Stop Services: Toggle the background Docker container.
- 📓 Open Jupyter Lab: Access the notebook interface.
- 🤖 Open Opencode: Access the OpenCode Web UI to give instructions.
- 💻 Open Web Terminal: Access the Zellij terminal session.
Architecture
JupyAgent builds a custom Docker image combining:
jupyter/base-notebookmcp-server-jupyter(with collaboration support)opencodeCLI/Webzellij
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