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Connect AI models in the terminal to collaborate on code and multimodal files.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "modelmux" yet — see the docs or source repo.
Use modelmux to call Claude Code to analyze the Python code quality in ./src, then pass the results to Codex for refactoring suggestions, and finally output a merged issue list and fix plan.
A combined code review report with issues, priorities, and recommended fixes from multiple models.
Use modelmux to read ./report.pdf, have one model extract key findings, then have another generate a Chinese summary and action recommendations while preserving source references.
A structured PDF analysis with key summaries, recommended actions, and source references.
Use modelmux to send ./notes.txt and ./diagram.png to multiple models: one explains the diagram, another consolidates the written notes, and then output a unified research memo.
A research memo that combines image understanding and text synthesis for further analysis and sharing.
Query multiple AI models for code reviews, debates, and diverse perspectives.
Enable Claude Code to orchestrate multiple LLMs for coding and complex tasks.
Let AI coding tools safely call Codex for development and automation tasks.
Connect multiple AI coding agents to collaborate on development tasks efficiently.
Control multiple logged-in AI web sessions via MCP with file and image handling.
Let AI safely control tmux sessions, windows, and panes for terminal automation.