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Primordial

Primordial is a research project exploring whether typed absence, explicit provenance, and recoverable compaction can improve the reliability of long-horizon agentic systems.

This project begins from a philosophical claim and attempts to turn it into a formal, falsifiable systems program.

Core thesis

Zero is not mere emptiness. It is structured capacity.

In practical systems terms, this means agent runtimes should distinguish different kinds of absence—unknown, not invoked, unresolved, deleted, withheld, pruned but recoverable—instead of collapsing them into generic null-like states.

Initial research stack

  • docs/PROJECT_CHARTER.md
  • docs/FOUNDATIONS.md
  • docs/NULL_ONTOLOGY.md
  • docs/METHODOLOGY.md

Status

Early-stage research scaffold. Experimental. Not yet a validated theory.

About

A philosophical around typed absence, provenance, and compaction in agent systems. Milestone 1 is now complete: https://github.com/Joona-t/primordial

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  • Python 100.0%