# Priivacy-ai/spec-kitty

Spec-Driven Development for serious software developers. Spec Coding with with Claude, Cursor, Gemini, Codex. Kanban dashboard, git worktrees, auto-merge and more.

Repository: https://github.com/Priivacy-ai/spec-kitty
Canonical: https://ross.abutalabs.com/products/spec-kitty
Homepage: https://spec-kitty.ai
Language: Python
License: MIT
License Family: permissive
Topics: claude-code, gemini-cli, spec-driven-development, cursor-agent, github-copilot, windsurf, ai-coding-workflow, ai-development-dashboard, ai-progress-tracking, coding-agent-orchestration, development-kanban, kanban-workflow, multi-agent-support, spec-workflow-automation, agentic-coding, ai-agents, structured-development, code-workflow, ai-workflow, vibe-coding
Last push: 2026-08-26T16:10:29+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 80, longevity 23
- inputs: {"age_days": 328, "days_push": 7, "days_rel": 56, "gap_med": 0, "n_releases_24m": 132}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1573, forks 156 (observed 2026-08-28T04:05:05.668933+00:00)

## What it is
Spec Kitty is an open-source Python CLI that implements spec-driven development workflows for AI coding agents like Claude Code, Codex, Cursor, Gemini, and Copilot. It stores specs, plans, tasks, review state, and merge decisions natively in your Git repository, and gives agents isolated git worktrees so multiple agents can implement work packages in parallel with a kanban dashboard and review gates.

## Use cases
- run spec-driven development with AI coding agents
- orchestrate multiple AI agents working in parallel on one repo
- keep AI coding requirements and acceptance criteria in git
- manage git worktrees for parallel agent implementation
- track AI coding progress with a kanban dashboard
- add review and merge gates to agentic coding workflows
- move from vibe coding to structured spec workflows

## When to choose
- your team uses AI coding agents (Claude Code, Cursor, Codex, Gemini, Copilot, Windsurf) and loses track of requirements or decisions
- you need multiple agents or developers working in parallel without branch chaos
- you want specs, plans, tasks, and review state stored in Git rather than an external tracker
- you want human review gates and an audit trail around autonomous agent coding

## When to avoid
- you only make one-off edits, small scripts, or quick prototypes
- your team does not use Git
- you want a fully autonomous lights-out coding pipeline with no human review
- you need a hosted project tracker rather than a repo-native workflow

## Facets
- artifact type: cli-tool
- maturity: active
- function: cli, workflow-automation, agent-framework, developer-tools, version-control
- domain: developer-tools, version-control
- platform: cli, python, cross-platform, windows
- tags: spec-driven-development, ai-coding-agents, git-worktrees, kanban-dashboard, multi-agent-orchestration, claude-code, cursor, codex, gemini-cli, agentic-coding, code-review-workflow, command-line, ai-agents, automation, macos, linux

## Member repositories
- Priivacy-ai/spec-kitty (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:05.668933+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:57:56.284312+00:00, confidence not recorded.
  - readme: https://github.com/Priivacy-ai/spec-kitty (fetched 2026-08-28T04:05:05.668933+00:00, sha 64bf08ba7cbd)
  - homepage: https://spec-kitty.ai (fetched 2026-08-29T11:28:07.552023+00:00, sha 8668a904dfea)
- Data as of 2026-08-30T08:39:29.467469+00:00.