Symp was never meant to be just another framework.
It is a question, disguised as a system.
A question about what computation means when stripped of its layers —
when syntax is not hidden, and semantics is not assumed.
When every program must first prove that it understands itself
before it dares to execute.
In Symp, there are no secrets.
Every transformation is written in the same language that defines it.
Every computation is transparent, symbolic, and reversible in thought.
It is a small machine, yet it thinks deeply.
A machine that doesn’t chase efficiency or spectacle,
but clarity — the most fragile, human quality of all.
You can use Symp to build parsers, interpreters, DSLs,
or simply to explore what programming looks like
when theory is given the same care we give to color and light.
But perhaps its real purpose is quieter.
To remind us that computation can still be a place for reflection —
not just execution.
Because somewhere, in another branch of history,
there is a world where machines never learned to paint,
but they learned to understand.
Symp is a small echo from that world,
and if you listen carefully,
you can almost hear the sound of meaning being formed.
This document was written with the assistance of an AI language model, used as a collaborator in reflection and articulation.