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Agent Kernel by Yaala Labs

Agent Kernel is an open-source operating system for scalable, compliant enterprise AI agents. It integrates seamlessly with frameworks like OpenAI, LangGraph, CrewAI, Google ADK, Smolagents, and Pydantic AI, and can deploy to AWS, Azure, GCP, or Kubernetes. Built-in messaging, memory, knowledge bases, guardrails, sandboxed code execution, and observability.

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About this tool

Agent Kernel is an open-source operating system for scalable, compliant enterprise AI agents. It helps developers and AI engineers build, test, and deploy production-grade AI agents without changing their existing stack. It integrates seamlessly with popular frameworks such as OpenAI, LangGraph, CrewAI, Google ADK, Smolagents, and Pydantic AI, and allows deploying the same agent code to AWS, Azure, GCP, or self-hosted Kubernetes clusters.

Agent Kernel provides a rich set of built-in features including messaging, memory, knowledge bases, guardrails, sandboxed code execution, and observability (with support for Langfuse, OpenLLMetry, and Pydantic Logfire). Each execution flows through the Agent Kernel Execution Broker to a pluggable provider, governed by fail-closed policies for security.

Agent Kernel is certified to ISO 27001 and independently audited against the AICPA SOC 2 framework, ensuring security and compliance. It offers a CLI tool (with commands like ak-init, ak-build, ak-add-capabilities, ak-add-integration, ak-cloud-deploy, and ak-test) to streamline development.

Agent Kernel is free and open-source, suitable for teams that want to build production-grade AI agents without vendor lock-in.

Use cases
  • Developers who want to build production-grade AI agents using familiar frameworks like OpenAI or LangGraph.
  • AI engineers who need to deploy agents to AWS, Azure, or GCP with compliance.
  • Teams that need built-in messaging, memory, and knowledge base features for their agents.
  • Organizations that require SOC 2 and ISO 27001 compliant AI agent execution environments.
  • Developers who want to quickly initialize, build, and test agents using CLI tools.

Features & use cases

Integrates with OpenAI, LangGraph, CrewAI, Google ADK, Smolagents, and Pydantic AI.Deploy to AWS, Azure, GCP, or Kubernetes.Built-in messaging, memory, knowledge bases, and guardrails.Sandboxed code execution environment.Observability integrations (Langfuse, OpenLLMetry, Pydantic Logfire).CLI tools (ak-init, ak-build, etc.).Fail-closed policies for security.ISO 27001 and SOC 2 certified.

At a glance

Monetization
  • Free
Maturity signals
  • Open source
  • Public API
  • Self-hostable
Learning curve
  • Medium

Resources

Sources

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