goose is an open source AI agent runtime hosted at the Agentic AI Foundation. Its last two releases, versions 1.36 and 1.37, dropped in quick succession and together push goose further open. Here's what shipped.
At work, I’m building agents to handle various operational tasks and have found Karpathy’s LLM Wiki design to be an excellent solution for implementing most types of memory for my agents. The LLM wiki is a simple yet powerful collection of interlinked markdown files that are updated as the LLM gains more knowledge.
The next MCP specification release candidate is a big one. The headline change is that MCP is becoming stateless at the protocol layer, but the more useful story is what that does for people building agentic systems in practice.
As we integrate AI into more workflows, a common question is: how do AI systems find each other and related artifacts? AI Catalog addresses this by providing a shared, trusted discovery layer that gives different kinds of AI artifacts a common place to be found.
I’ve spent my career helping engineering teams build and ship systems that scale. That perspective shapes how I look at every new wave of technology. Agentic AI is moving fast,...
