Enables AI-native task management using plain markdown files to create, update, query, and organize Epics, Stories, Tasks, and Milestones without requiring a database.
Automatically generates structured agile backlogs including epics, features, and user stories from natural language descriptions within AI-powered IDEs. It streamlines project management by creating AI-optimized markdown files and directory structures to guide step-by-step implementation.
Enables managing a minimal task backlog with operations to create, list, update, and retrieve tasks with different statuses (open, in progress, blocked, done, cancelled). Tasks are stored in a local JSON file with atomic writes.
Repository-native protocol and MCP server for coordinating work items, documentation, changelogs, and project memory between humans and AI agents, using Markdown files in a Git repository as the canonical data source.
An AI-first business and project management tool that stores data locally in Markdown and JSON files, exposed via the Model Context Protocol (MCP). Enables project, issue, client, contact, and note management through natural language.
Enables managing tasks in a structured TODO.md file through MCP tools for listing, adding, updating, setting status, logging notes, searching, and removing tasks while preserving hand-authored formatting.