The Agent Stack
Vinoth GovindarajanThe 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 | 25 | Founded | 7 months ago | Last Issue | 10 days ago |
| Active | |||||
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Hermes Agent Architecture - Part 3: Memory, Skills, and the Self-Improvement Loop
I taught Hermes one fact and one procedure. They persisted differently.
I wanted to answer one practical question.
If I teach an agent one environment fact, one personal preference, and one repeatable procedure, what should survive afte...
Hermes Agent Architecture - Part 2: Prompt Assembly, Context Files, and Compression
I changed Hermes’s USER.md while a session was still running.
The file changed immediately.
The next provider-bound request did not.
It still contained the old user profile.
Then I compressed the session.
Same session ID. New system...
Hermes Agent Architecture - Part 1: Gateway, Sessions, and the Agent Loop
I wanted one simple task I could use to trace Hermes end to end.
Create a file with a unique marker. Read it. Calculate its SHA-256 digest. Then answer a follow-up:
Which marker did you read, and which workspace did you use?
The task is...
The Data Agent Stack - Part 7: Evals, Provenance, and Production Feedback Loops
The agent answered the same question correctly yesterday.
Overnight, a context document, metric definition, schema, model, or tool changed.
Today, the SQL still compiles. The query still returns rows. The answer is different.
Which part...
The Data Agent Stack - Part 6: Trust, Permissions, and Governance
The SQL compiled.
The warehouse returned 42,871 rows. The chart matched last quarter’s report. The explanation was clear.
There was only one problem.
The requester could not access the customer-level table.
The data agent’s service iden...
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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.
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