yaalalabs/agent-kernel

Multi-cloud, framwork-agnostic AI agent runtime for building, testing, and deploying production agents across OpenAI, CrewAI, LangGraph, and Google ADK. Deploy the same agent code to AWS or Azure with built-in session management, execution hooks, MCP/A2A support, guardrails, observability and fault tolerance.

48
/ 100
Emerging

This is a runtime for deploying and managing AI agents, allowing developers to build sophisticated AI applications. It takes AI agent logic, designed using frameworks like LangGraph or OpenAI Agents, and outputs a deployable, fault-tolerant agent service. Software engineers building AI-driven solutions for various business needs would use this to ensure their agents run reliably across different cloud and on-premise environments.

Use this if you are a developer looking to build, test, and deploy AI agents across various cloud platforms (AWS, Azure) or on-premise, and need flexibility in choosing agent frameworks.

Not ideal if you are an end-user without programming skills looking for a no-code AI agent solution.

AI-application-development cloud-deployment agentic-AI-orchestration software-architecture developer-tools
No Package No Dependents
Maintenance 10 / 25
Adoption 6 / 25
Maturity 15 / 25
Community 17 / 25

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Stars

24

Forks

10

Language

Python

License

Apache-2.0

Last pushed

Mar 13, 2026

Commits (30d)

0

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