HARNESS ATLASAn Astra × QZ project ↗

SIXTEEN PAPERS. ONE EXPANDING QUESTION.

HARNESS
ATLAS

The model is only the beginning.

Take apart the machinery that turns a language model into an agent. Then learn to build the loop.

FIG. 01 / ANATOMY OF AN AGENT
CONTEXTTOOLSMEMORYFEEDBACKDELEGATION● FROZEN MODEL CORE
03

What survives the moment

A memory policy decides what to retain, what to retrieve, and what to place back in context.

STORE → RETRIEVE → REINSERT ↗

Conceptual anatomy · layers illustrate responsibilities, not a hardware architecture

01 / THE GUIDED PATH

Learn the loop.
Then change it.

Eight chapters. Concrete failures, working mechanisms, and a question to test your understanding at every step.

ABOUT AN HOUR, AT YOUR PACE

02 / THE EXPERIMENTAL PATH

Don’t just read it.
Change a variable.

Lose a memory. Repair a failed action. Watch a shortcut become a habit. Three small experiments make the machinery visible.

Enter the laboratory ↗
ACT 01
↓
OBSERVE 02
↓
ADAPT 03
↳   WHAT SURVIVES THE NEXT RUN?

03 / THE RESEARCH PATH

Every idea has
a paper behind it.

Explore sixteen papers through their mechanisms, relationships, and blind spots. Open the evidence. Disagree with the interpretation.

Explore the corpus ↗
2020GPT-32022ReAct2023MemGPT2023Voyager2023DSPy2025RLMs2026Prime Agent