Backlog.md
Basic Information
Backlog.md is a markdown-native task manager and Kanban visualizer that converts any Git repository folder into a self-contained project board. It provides a zero-config command line interface to initialize a backlog, create and manage tasks as plain .md files saved under a backlog directory, and view a live Kanban representation directly in the terminal. The project also launches a modern responsive web interface for visual task management and supports exporting boards to shareable markdown reports. The CLI is designed to be AI-ready so users can create tasks with AI assistants and assign tasks to agents. Backlog.md targets cross-platform use on macOS, Linux, and Windows and is distributed under the MIT license.
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App Details
Features
Markdown-native tasks stored as human-readable files using a task-<id> - <title>.md naming convention. 100% private and offline operation by default with optional remote git operations. Instant terminal Kanban via backlog board and a modern web UI via backlog browser with drag-and-drop, real-time updates, task forms, and responsive design. Rich CLI commands for create, edit, list, view, archive, drafts, sequences, docs and decisions. Board export to markdown and README embedding. Configurable options layered by CLI flags, per-project config file, per-user settings and built-ins, including auto-commit, default editor, port, and branch checking. Agent integration and AI-ready features with agent instruction files and optional Claude/Gemini/Codex integrations.
Use Cases
Backlog.md helps teams and solo developers keep project work colocated in the repository so tasks, docs and decisions remain versioned and private. The terminal Kanban gives quick status visibility without leaving the shell while the web UI enables richer visual management and drag-and-drop planning. Export features produce shareable status reports and README snapshots suitable for stakeholder updates. Configurable git interactions let users work offline or enable automatic commits when desired. AI-ready CLI and agent instruction support allow users to capture work with AI assistants and assign or delegate tasks to agents, streamlining repetitive task creation and planning. The tool supports drafts, subtasks, dependencies and statistics to aid project tracking and hygiene.
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