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Agent kernel for self-improving systems

ByteNex›Articles›What Is an Agent Kernel?

What Is an Agent Kernel?

An agent kernel coordinates tools through declarative flows, verifies their behavior, and updates its own strategy weights from verified outcomes.

Is an agent kernel the same as an agent framework?

No. A framework supplies building blocks for an application; a kernel runs the cycle itself and updates its own weights. The difference is fundamental to how the system operates.

What does the kernel coordinate?

Tools, declarative flows, workflow context, and strategy weights. It acts as the central nervous system of the agent.

Does the kernel contain the language model?

No. It routes calls to a language model through role profiles. The language model sits outside the kernel and is called upon as needed.

How does the kernel learn?

It updates its strategy weights based on the reward value computed from verified outcomes. A failed strategy is deprioritized; a successful one is raised.

How are tools generated?

A tool is generated as code, signed with SHA-256, verified against an expected outcome, and recorded. A failed tool is not trusted.

What is a declarative flow?

A flow names the tools and their order. The kernel executes the flow; the flow does not execute itself. This makes the flow data that the kernel can verify.

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Topics: Runtime Architecture

wl4 · 2017-01-28