Manages backlog items and todos with status tracking, priorities, and dependencies. Stores work items as human-readable markdown files with automatic versioning.
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.
Provides direct access to local documentation files through simple search and overview tools, enabling LLMs to query project-specific markdown documentation without requiring vector databases or RAG pipelines.
Enables AI-native task management using plain markdown files to create, update, query, and organize Epics, Stories, Tasks, and Milestones without requiring a database.
Manages project documentation and saves conversation logs within a target project directory, providing tools for creating specs, ADRs, changelogs, runbooks, and syncing prompts/logs to GitHub repositories.