The Agent Stack
Vinoth Govindarajan, OpenClaw UnboxedThe 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.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 15 | Founded | 3 months ago | Last Issue | 9 days ago |
| Active | |||||
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The Agent Stack - Part 8: Observability, Evaluation, and Production Feedback Loops
A demo is allowed to be a story.
Production is not.
At 3:07 AM, the question is not whether the agent looked smart in the demo. The question is why a customer received the wrong refund, which run did it, what context it used, which tool a...
The Agent Stack - Part 7: Execution Surfaces, Identity, and Approval Boundaries
An agent reads an invoice.
Then it opens a browser, fills a payment form, and reaches the final submit button.
That last step is different. The system is no longer only producing text. It is about to commit a side effect.
This post is ab...
The Agent Stack - Part 6: Tools, MCP, and Capability Surfaces
“Send the customer the updated contract.”
That looks like one tool call.
It is not.
Before the system sends anything, it has to decide which tool is visible, which account is acting, which file is in scope, whether the recipient is allow...
The Agent Stack - Part 5: Context, Retrieval, and Memory
A user asks:
“Use the policy we discussed last week, but update it with the new onboarding doc.”
The model does not have “last week” unless the runtime reconstructs it.
It does not have “the new onboarding doc” unless retrieval brings...
The Agent Stack - Part 4: Runtimes, Workflows, and Durable Execution
An agent starts a dependency upgrade.
It edits files, runs tests, pushes a branch, waits for CI, asks a maintainer for approval, and opens a PR.
Then the worker restarts while CI is still running.
The interesting question is not whether...
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Authors
The writers behind this newsletter.
Systems engineer at OpenAI, open-source contributor, and co-author of Engineering Lakehouses with Open Table Formats, explaining how modern AI agents and data systems actually work in production.
Unbox the AI that actually does things. Build cheaper more capable agents and smarter routing for token efficiency. Copy the configuration. Run your 24/7 team. An independent AI agent community by Josh Davis
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