Show HN: Twine is a meta-harness with workflows, cross-agent memories and traces (github.com)

Twine, a new macOS application, has been launched as a terminal-first collaboration platform designed to coordinate AI coding agents. With features like controlled workflows, visual traces, and cross-agent memory, Twine aims to streamline collaborative coding tasks. Users can create specific sessions for grouped tasks, run commands via terminal interfaces, and employ various workflow models such as adversarial or coordinator setups. The application is notable for its ability to integrate multiple coding agents, allowing a seamless review and approval process of agent-generated code. This toolkit is significant for the AI/ML community as it enhances the collaboration potential among AI agents, enabling developers to create more complex and effective workflows in their projects. Twine supports custom workflows and has built-in features for task distribution and monitoring agent activities. It also records activity in a detailed trace system, providing insights into the performance of agents, their interactions, and project completions. Twine is still in early development, indicating room for growth and new features in future iterations, making it a promising tool for AI-driven software development.