whereismyai
Backlog.md
Backlog.md is a Markdown-native task manager and Kanban board for Git repositories that facilitates project collaboration between humans and AI agents.
Backlog.md is a task management tool that turns any Git repository folder into a project board using plain Markdown files. It organizes project collaboration between humans and AI agents through specific review checkpoints: reviewing the task spec, reviewing the implementation plan, and reviewing the generated code. The tool stores tasks as individual .md files directly within the repository, ensuring they remain as a permanent, human-readable record. It includes a terminal-based Kanban board and a local Web UI for managing tasks with drag-and-drop support. It integrates with AI assistants via the Model Context Protocol or standard CLI instructions, supporting tools like Claude Code, Gemini CLI, Codex, and Kiro.
Backlog.md at a glance
- Best for: Software engineer, Product manager
- Runs on: macOS, Linux, Windows, Web
- Pricing: MIT-licensed and open-source
- Released: June 2025
- Category: AI coding tool
- Website: backlog.md
Key features
- Markdown-native task tracking in Git
- Terminal-based Kanban visualization
- Local Web UI for drag-and-drop task management
- Three-step AI review workflow for specs, plans, and code
- Acceptance criteria and Definition of Done checklists
- Milestones and task dependency tracking
- Fuzzy search for tasks and decisions
Use it for
- Managing AI-assisted coding projects
- Reviewing task specifications and implementation plans
- Visualizing project progress in a terminal Kanban board
- Tracking task history and decisions within a Git repository
Alternatives to Backlog.md
- Better Backlog — Filters GitHub issues locally using natural language and custom criteria.
- DotMD — Reviews documents like code with line-specific agent fixes.
- AGENTS.md — It separates agent-specific instructions from human-focused README files.
- docmd — Compiles Markdown into websites and AI agent context formats with one command.
- Mdt — Avoids unnecessary rereading, token use, and distraction for agents.
- jevgrep — Reduces coding agent costs by providing targeted, relevant repository context.
- Markdoc — Real-time collaboration with source and preview side by side.
- GitBrain — Intelligently splits large code changes into multiple customizable AI commits.
- Atlas — Centralize agent control, session logging, and project git state in one workspace.
- Enzyme — It indexes markdown notes locally so AI coding agents can cite them.
- Crit — It keeps human feedback localized and precise for AI agent code iterations.
- Ret — Manage multiple AI coding agents across projects from one unified desktop interface.
All Backlog.md alternatives