KDCube's point of view on changes shaping AI applications and infrastructure.
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Effective AI agent governance connects a declared policy to the exact place where identity, authority, money, code, data, and side effects become real. Output controls, action policy, observability, and runtime boundaries are complementary parts of that system.
Keep the agent, tools, user experience, and product you already built. KDCube gives them an open-source, self-hosted place to operate: deploy from Git, serve through APIs, webhooks, MCP, or streamed conversations, and add identity, storage, files, isolated execution, integrations, and cost controls when the product needs them.