As teams and the enterprise are figuring out various ways to secure traffic from Agents to LLMs, other Agents, or MCP Servers, what about the lowest barrier to entry? Someone's local
Ensuring that Agents have the proper tools and information they need to perform a specialized action on behalf of a user or a system will be necessary for AI to meet the needs
Although the idea around Agents, MCP Servers, and Agentic workflows is just about all everyone is talking about, it's important to remember that this cohort of work has only been around
There are many Agentic creation frameworks ranging from CrewAI to kagent to langchain and several others which are typically written in Python or JS. If you're an engineer working on Kubernetes,
AI network traffic can very much feel like a black box. You open an AI provider console or an Agent, ask a question or perform a task, and then what happens? Where does
