Efficiently coordinate coding agents in one shared registry.
Project details
Squadra streamlines the coordination of Claude, Codex, and Cursor, allowing for effective task management, acknowledgements, and proofing through a shared registry. This free and open-source toolkit runs locally on your machine, ensuring privacy and control over your coding processes.
Squadra 3+ is an efficient coordination tool designed for AI coding agents, specifically Claude, Codex, and Cursor. This powerful toolkit enhances collaboration by consolidating tasks, acknowledgments, proof verifications, and independent reviews in a single, reliable registry that runs directly on your machine without the need for an account. The local dashboard presents this information clearly, making it easy to track progress in multiple languages, including English and Italian.
prove command verifies changes against the original code, delivering an immutable package of outcomes. Any modifications after proofing invalidate both the proof and the review.Squadra orchestrates the teamwork of various AI agents through defined roles. A coordinated approach allows tasks to be assigned simultaneously across different windows, reducing downtime and improving efficiency. Each agent can operate on a separate code copy (a checkout) while sharing the same registry, enabling seamless multi-agent workflows.
Squadra utilizes straightforward commands to facilitate communication between windows:
# Start a squad
Use the squadra skill for this project. Shared registry: ~/.local/state/squadra/atlas.
# Assign work to a builder
Create a task "Key rotation service" for the builder window...
Users can navigate through complex workflows easily with a comprehensive set of commands that encourage clarity and cooperation among all agents.
Overall, Squadra provides a robust, open-source solution that enhances collaborative coding through structured workflows and accountability. Leveraging the capabilities of AI agents, it streamlines project management, promoting efficiency and thorough comprehension of project tasks.
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