Agent Kernel

Abstract

1. Introduction

Most agent frameworks help you build a prototype. Agent Kernel is the platform layer that gets you to production — with the governance, portability, and operational maturity that enterprises actually require.

The Operating System for Scalable & Compliant Enterprise AI Agents

Run, orchestrate, and deploy production AI agents at scale — across frameworks and clouds — without lock-in, rewrites, or fragile glue code.

2. Objective

The Operating System for Scalable Enterprise AI Agents - Run, orchestrate, and deploy Compliant Enterprise AI Agents at scale across frameworks, without lock-in, rewrites or fragile glue code. Native support for MCP, A2A. Interface with all mainstream communication channels seamlessly out of the box, production ready from day one.

This project demonstrates how Python, AWS can be applied to a real-world Blockchain & Cloud Computing problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Python 3.8 or later
• pip / virtualenv for dependencies
• VS Code, PyCharm or Jupyter Notebook
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/yaalalabs/agent-kernel.git
cd agent-kernel

pip install agentkernel

from agentkernel.cli import CLI
from agentkernel.openai import OpenAIModule
from agents import Agent

math_agent = Agent(
    name="math",
    handoff_description="Specialist agent for math questions",
    instructions="You provide help with math problems.",
)

general_agent = Agent(
    name="general",
    handoff_description="Agent for general questions",
    instructions="You provide assistance with general queries.",
)

triage_agent = Agent(
    name="triage",
    instructions="You determine which agent to use based on the user's question.",
    handoffs=[general_agent, math_agent],
)

module = OpenAIModule([triage_agent, math_agent, general_agent])

if __name__ == "__main__":
    CLI.main()

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Add a CI/CD pipeline with GitHub Actions
• Deploy to a public test network or cloud free tier
• Add monitoring and cost alerts

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Why does this problem need a blockchain or cloud-native design?
2. Explain the smart contract / infrastructure components and how they interact.
3. How are gas costs or cloud costs kept under control?
4. How is the system secured (keys, IAM, access control)?
5. How would the solution scale to many more users?

9. Source Code & License

This project is developed by yaalalabs and published on GitHub under the Apache License 2.0. Please follow the license terms and credit the original author when you use or modify this code.