kaizen

What problem does it solve?

Developing sophisticated AI agents, especially multi-modal and multi-agent systems, is inherently complex. This Skill provides comprehensive patterns for the Kaizen AI agent framework, enabling you to build intelligent, coordinated agents with structured communication, shared memory, and advanced tool-calling capabilities.

Core Features & Use Cases

• BaseAgent Architecture: Foundation for building modular and reusable AI agents.
• Multi-Agent Coordination: Patterns for A2A protocol, SharedMemoryPool, and multimodal orchestration.
• Tool Calling: Integrate external tools and services for enhanced agent capabilities.
• Use Case: You need to create a team of AI agents that can analyze images, process natural language queries, and coordinate to generate a comprehensive report. This Skill guides you through setting up BaseAgents, shared memory, and multimodal orchestration.

Quick Start

Basic Kaizen Agent

from kaizen.core.base_agent import BaseAgent from kaizen.signatures import Signature, InputField, OutputField class QASignature(Signature): question: str = InputField(description="User question") answer: str = OutputField(description="Answer") class QAAgent(BaseAgent): def init(self, config): super().init(config=config, signature=QASignature()) def ask(self, question: str) -> dict: return self.run(question=question)