LoopTroop is an open-source, local-first GUI application designed to manage multi-step coding tickets while preventing context rot. It employs a structured approach to avoid the issues associated with single-model, massive-prompt workflows.
- LLM Council planning: Multiple model passes draft, review, and anonymously vote on execution plans before any code is written.
- Context engineering: Each task step executes in a fresh, isolated context window containing only necessary code.
- Ralph loops: Failed steps trigger clean retry loops with targeted failure logs rather than appending to large prompts.
- Human in the loop: Users can review plans and approve steps via a modern Kanban board interface.
The project aims to provide a precise method for long-running AI coding tasks by isolating context and enabling human oversight.