What if you never had to read a single page of Agent Kernel documentation?
What if you didn't need to know which agentic framework to use, how to wire handoffs, how to configure session persistence, or how to write Terraform for a cloud deployment?
What if you just told your coding assistant what you wanted — and Agent Kernel handled the rest?
That's exactly what Agent Skills deliver.
Walled AI gives us a clean, practical safety + PII masking pipeline for agent input/output flows. It is easy to integrate, fast to test, and useful for production guardrail baselines.
But like every real provider integration, there are edge cases.
This post covers the capabilities that made Walled AI a good fit for Agent Kernel, the real-world edge cases we encountered, and the implementation choices we made to keep behavior safe and predictable.
Stop rewriting the same tools for different AI frameworks.
Imagine building a calculator app, then discovering you need to rebuild it from scratch every time you want to run it on a different device. That's what building AI agent tools feels like today.
Write a weather lookup tool for OpenAI? It won't work with Google's framework. Build it for CrewAI? Start over if you switch to LangGraph. This wastes time and creates headaches every time you want to try a new AI framework.
Agent Kernel solves this: write your tools once, use them everywhere.
Your AI investment should never be hostage to a single cloud provider.
Write once. Deploy anywhere. That's not a slogan, it's now reality.
Today, we're announcing full Azure support for Agent Kernel. Your AI agents can now run on Azure Container Apps, Azure Functions, and leverage Cosmos DB for persistent memory, all with zero changes to your agent code. The same agent that runs on AWS Lambda today can run on Azure Functions tomorrow. This is multi-cloud done right.
Deploying AI agents in production comes with critical business risks: brand damage from inappropriate responses, regulatory penalties from data leaks, and customer trust erosion from security breaches. Today, we're announcing Guardrails for Agent Kernel - enterprise-grade content safety that protects your business while accelerating your AI initiatives.
Ever wished you could intercept your AI agent's thoughts before they speak? Or give them a photographic memory that lasts exactly as long as you need? We've got you covered.
Agent Kernel now features Execution Hooks and Smart Memory Management - two game-changing capabilities that give you surgical control over how your agents think, remember, and respond. Whether you're building enterprise chatbots, RAG-powered assistants, or multi-agent systems, these features unlock new levels of sophistication without the complexity.
We're thrilled to announce that Agent Kernel now seamlessly integrates with the world's most popular messaging platforms - Slack, WhatsApp, and Facebook Messenger! Deploy your AI agents where your users already are, and deliver intelligent conversational experiences across multiple channels.
We're excited to announce that Agent Kernel now includes comprehensive observability support through integrations with Langfuse and OpenLLMetry (Traceloop) - giving you powerful insights into your AI agent systems!
We're thrilled to announce Agent Kernel (AK) - an open-source, versatile runtime solution that revolutionizes how you develop, test, and deploy AI agents across any framework and environment!
