Kaizen Agentic
AI agent development framework embracing continuous improvement through specialized agents and comprehensive development workflows.
This project embraces the Japanese concept of "kaizen" (continuous improvement) applied to AI agent development. Every coding subagent becomes part of an optimization loop where performance is measured, patterns are analyzed, and specifications are refined over time.
Quick Start
Install the Package
From Source (Development):
git clone https://github.com/kaizen-agentic/kaizen-agentic.git
cd kaizen-agentic
make setup-complete
make agents-install-cli
source .venv/bin/activate # Required for each session
Global Installation (Available from any directory):
git clone https://github.com/kaizen-agentic/kaizen-agentic.git
cd kaizen-agentic
make setup-complete
python3 -m build && make install-global
# No virtual environment activation needed
Local Package Testing:
git clone https://github.com/kaizen-agentic/kaizen-agentic.git
cd kaizen-agentic
make setup-complete
python3 -m build && make install-local
source .venv/bin/activate # Required for each session
From PyPI (Coming Soon):
pip install kaizen-agentic # Available after v1.0.0 publication
# or
pipx install kaizen-agentic # Recommended for global CLI tools
Your First Project (New Users)
👋 New to Kaizen Agentic? Follow our Hello World Tutorial for a complete step-by-step guide.
Create a Project (Experienced Users)
# Create a new project with AI agents
kaizen-agentic init my-project --template python-web
cd my-project
# Set up development environment
make setup-complete
# Start coding with agent assistance!
make help # See all available commands
Add Agents to Existing Project
# Navigate to your project
cd your-existing-project
# Install relevant agents
kaizen-agentic install keepaTodofile keepaChangelog tdd-workflow
# Check what was installed
kaizen-agentic status
Features
- 16+ Specialized Agents: Project management, testing, code quality, documentation
- CLI Tool: Easy agent installation and management (
kaizen-agentic) - Project Templates: Pre-configured setups for different project types
- Claude Code Integration: Seamless integration with Claude Code workflows
- Comprehensive Testing: Full test coverage with multiple testing strategies
- Standards Compliance: Follows PythonVibes and industry best practices
Available Agents
Project Management
- keepaTodofile: Manages TODO.md files following Keep a Todofile format
- keepaChangelog: Maintains CHANGELOG.md files following Keep a Changelog format
- keepaContributingfile: Creates and updates CONTRIBUTING.md files
- project-management: General project management and coordination
Development Process
- tdd-workflow: Test-driven development workflow guidance
- requirements-engineering: Requirements analysis and documentation
- test-maintenance: Test suite maintenance and optimization
Code Quality
- code-refactoring: Code improvement and refactoring guidance
- optimization: Agent definition optimization and improvement
- datamodel-optimization: Data model design and optimization
Infrastructure
- setupRepository: Repository initialization and standards compliance
- claude-documentation: Claude Code configuration and documentation
- tooling-optimization: Repository tooling usage optimization
Project Templates
# Available templates
kaizen-agentic templates
# python-basic: Basic Python project setup
# python-web: Web application development
# python-cli: Command-line tool development
# python-data: Data science and analysis
# comprehensive: All available agents
Known Issues
Click Library Workaround
The CLI currently implements a workaround for spurious error messages in the Click library. This affects the install command but is transparent to users. See CLICK_WORKAROUND.md for technical details and removal timeline.
User Impact: None - the workaround provides clean CLI output Status: Monitoring Click library updates for resolution