A local task state manager for your projects. Designed for humans and LLMs (github.com)

A new local task state manager, dubbed "td", has been launched to streamline project organization for both humans and large language models (LLMs). This tool allows users to categorize their tasks using simple state labels—such as "focus," "active," "later," and "done"—rather than complicated workflows. Users can easily create, modify, and track tasks via a command line interface (CLI), with tasks being stored as individual, human-readable YAML files that are compatible with git, promoting a seamless integration into existing projects. The significance of this tool lies in its versatility and accessibility for AI and ML practitioners. By enabling LLMs to interact with tasks through the same CLI commands, developers can leverage AI capabilities to manage project states effectively, streamlining workflows without requiring special APIs. The emphasis on intent over progress encourages adaptive task management, making it easier for teams to prioritize and collaborate on projects dynamically, ultimately enhancing productivity and coordination in AI-driven development environments.