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Basic Information

rooroo is a minimalist AI orchestration framework intended to run inside a developer workspace, designed to manage a small team of specialized agents from within VS Code. It provides a Navigator-led workflow that triages user goals, decomposes complex objectives via a Planner, and delegates execution to focused experts such as Developer, Analyzer, Documenter and Idea Sparker. The repo documents a workspace-relative convention under a .rooroo directory for task queues, briefings, artifacts and logs. It emphasizes concise context files that link to project artifacts, consistent ROO# task identifiers, and a structured JSON Output Envelope for agent reporting. The README describes how to set up the system with the Roo Code VS Code extension and optional custom instruction files in .roo/rules to tailor agent behavior. The project focuses on clear minimal orchestration rather than on any single end-user agent.

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Features
rooroo centers on Navigator-led orchestration and a lean team of specialist agents with explicit roles: Planner for task decomposition, Developer for code changes, Analyzer for data or analysis, Documenter for docs, and Idea Sparker for structured brainstorming and handoff documents. Operational data is organized in a workspace .rooroo directory including queue.jsonl as an ordered task queue, per-task context.md briefings under .rooroo/tasks/TASK_ID/, plans and brainstorming outputs, and an append-only activity.jsonl log. Agents report via a standardized JSON Output Envelope. The README prescribes principles like Principle of Least Assumption, concise link-first context, consistent ROO# IDs, workspace-relative paths, LLM tier guidance per agent, and optional .roo/rules for workspace-wide custom instructions.
Use Cases
rooroo helps teams and developers by structuring AI-assisted work into a repeatable triage-and-execute workflow inside VS Code. It automates task triage, decomposition and dispatch so complex goals are broken into manageable sub-tasks with concise context briefs. Experts produce artifacts directly in per-task folders which keeps outputs organized and traceable. The standardized queue, output envelope and activity logs enable monitoring, iteration and clear reporting of status and failures. Guidance on minimalism, explicit clarifications and cost-aware LLM tiering encourages predictable, cost-effective agent behavior. Optional custom rule files let teams adapt agent instructions across a workspace. The framework is aimed at improving clarity, delegation and artifact hygiene within software development workflows.

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