mrsunday777/HoverNet
Model-agnostic fleet orchestration for terminal-based AI agents.
This project helps operations engineers and IT managers orchestrate multiple AI agents to collaboratively complete development tasks. You dispatch high-level work requests, and the system automatically assigns them to available AI agents, tracks their progress, and handles failures, outputting completed tasks and detailed proof of work. This is designed for those managing a 'fleet' of AI models working on coding or research tasks.
Use this if you need to coordinate multiple CLI-based AI agents (like Claude Code or Qwen Coder) to work together on complex software development or research problems, ensuring continuous operation and self-healing capabilities.
Not ideal if you're looking for a user-friendly graphical interface or if your AI agents are not terminal-based and cannot read/write files for communication.
Stars
12
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 30, 2026
Commits (30d)
0
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