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0.33.0

PyPI

agile-backlog

Lightweight Kanban board tool for agentic development

Published23 Jul 2026

Direct dependencies6

Transitive dependenciesNot calculated

README

Version 0.33.0 documentation

agile-backlog

Lightweight Kanban board tool for agentic development. Track backlog items as YAML files, move them through workflow stages via CLI or web UI, and keep everything git-tracked.

Features

CLI — add, list, move, edit, delete, validate, and inspect items from the terminal
Web board — NiceGUI dark-theme Kanban board with drag-and-drop, side panel editing, and filters
Sprint skills — bundled Claude Code skills for sprint-start, sprint-execute, sprint-end workflows
YAML-based storage — one file per item, human-readable, diff-friendly
Git-tracked — full history of every status change
Workflow phases — plan → spec → build → review → done

Installation

# From PyPI
pip install agile-backlog

# With web UI
pip install "agile-backlog[ui]"

# From source
pip install git+https://github.com/zbarbur/agile-backlog.git

Install Sprint Skills

agile-backlog install-skills

Copies bundled skills to .claude/skills/. See agile-backlog install-skills --help for options.

Quick Start

# Add a new backlog item
agile-backlog add "Fix auth leak" --priority P1 --category bug

# List all items
agile-backlog list

# Filter items
agile-backlog list --status doing --priority P1

# Move an item
agile-backlog move fix-auth-leak --status doing --phase build

# Edit task definition
agile-backlog edit fix-auth-leak --goal "Fix the OAuth token leak" --complexity M

# Show full details
agile-backlog show fix-auth-leak

# Open the Kanban board
agile-backlog serve

Statuses & Phases

Items flow: backlog → doing → done

While in "doing", items track their workflow phase: plan → spec → build → review

Development

git clone https://github.com/zbarbur/agile-backlog.git
cd agile-backlog
uv venv && uv pip install -e ".[dev]"
pytest tests/ -v
ruff check . && ruff format --check .

Downloads & popularity

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No metric observations yet

Download counts and popularity will appear here as the collector receives them.

Declared dependencies 8

Native requirements

6 direct targetsNot calculated transitive count

Package / target	Requirement	Relationship
pyyaml Environment { "extras": "", "marker": null, "requires_python": ">=3.11", "evaluation": "NOT_EVALUATED" }	`pyyaml>=6.0.0`	runtime
click Environment { "extras": "", "marker": null, "requires_python": ">=3.11", "evaluation": "NOT_EVALUATED" }	`click>=8.1.0`	runtime
pydantic Environment { "extras": "", "marker": null, "requires_python": ">=3.11", "evaluation": "NOT_EVALUATED" }	`pydantic>=2.0.0`	runtime
nicegui Environment { "extras": "", "marker": null, "requires_python": ">=3.11", "evaluation": "NOT_EVALUATED" }	`nicegui>=2.0.0`	runtime
nicegui Environment { "extras": "", "marker": "extra == \"ui\"", "requires_python": ">=3.11", "evaluation": "NOT_EVALUATED" }	`nicegui>=2.0.0; extra == "ui"`	runtime
pytest Environment { "extras": "", "marker": "extra == \"dev\"", "requires_python": ">=3.11", "evaluation": "NOT_EVALUATED" }	`pytest>=8.0.0; extra == "dev"`	runtime
ruff Environment { "extras": "", "marker": "extra == \"dev\"", "requires_python": ">=3.11", "evaluation": "NOT_EVALUATED" }	`ruff>=0.8.0; extra == "dev"`	runtime
nicegui Environment { "extras": "", "marker": "extra == \"dev\"", "requires_python": ">=3.11", "evaluation": "NOT_EVALUATED" }	`nicegui>=2.0.0; extra == "dev"`	runtime