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The Agent Stack

The Agent Stack is a technical deep dive into how modern AI agents actually work under the hood, from control loops and memory systems to orchestration, evaluation, and production deployment.

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The File Changed. The Agent Didn’t: Inside Hermes Prompt Assembly

Hermes Agent Architecture, Part 2: a reproducible teardown of context files, prompt snapshots, and compression.

Hermes Agent Architecture - Part 1: Gateway, Sessions, and the Agent Loop

How one message becomes a stateful run across CLI, chat, and remote execution

The Data Agent Stack - Part 7: Evals, Provenance, and Production Feedback Loops

Why a data agent is only useful if you can prove where the answer came from

The Data Agent Stack - Part 6: Trust, Permissions, and Governance

Why data agents inherit every governance problem you already had

The Data Agent Stack - Part 5: Tools, Query Execution, and the Analyst Loop

Why fewer tools beat more tools

The Data Agent Stack - Part 4: Meaning Lives in Code

Why schemas describe shape, but pipeline code explains meaning

The Data Agent Stack - Part 3: Context Assembly for Data Agents

Why the hard part is not the model call, it’s what you put in front of it

The Data Agent Stack - Part 2: The Data Foundation Is the Agent

Why no agent architecture can save messy data

The Data Agent Stack - Part 1: What Is a Data Agent?

Why a data agent is not just text-to-SQL

The Agent Stack - Part 8: Observability, Evaluation, and Production Feedback Loops

Why demos are stories, but production needs evidence