Thriving 
PY 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.
https://kernel.yaala.ai/ ↗// readme
Run, orchestrate, and deploy production AI agents at scale — across frameworks and clouds — without lock-in, rewrites, or fragile glue code.
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.
| Agent Kernel | |
|---|---|
| 🔌 Framework-Agnostic | Run OpenAI Agents SDK, LangGraph, CrewAI, Google ADK, Smolagents, Pydantic AI, and Microsoft Agent Framework side by side. Swap with 2 import lines. |
| ☁️ Cloud-Agnostic | The same agent code ships to AWS Lambda/ECS, Azure Functions/Container Apps, GCP Cloud Run, or on-prem. |
| 🔁 Queue-Pipeline Execution | Every chat request runs through a queued pipeline: in-process by default (zero services, full retry/FIFO/dedup semantics locally), SQS, Kafka, and NATS JetStream transports for distributed deployments; a Helm chart ships the topology to any Kubernetes cluster. |
| 🛡️ Compliant by Default | Built-in guardrails (OpenAI, AWS Bedrock), PII detection, full audit traces, jailbreak prevention. |
| 🧠 Stateful & Knowledge-Aware | … |