Replay-first experiments
Deterministic specs, runtime digests, replay records, and artifact manifests make results easier to verify and defend.
Digital evolution · Causal audit · ALife
Public beta research software
v0.3.0b1
Python 3.11–3.14
AGPL-3.0-or-later
Replayable evidence for digital evolution.
CodonTrace Genesis is a deterministic Python research library for replaying, auditing, and evaluating digital-evolution experiments with evidence trails, mechanism records, controlled ablations, and explicit claim gates.
PASS Patch apply
PASS Wheel smoke
PASS Core boundary
Commercial-grade positioning
Scientific software that looks serious and stays honest.
CodonTrace is positioned as evidence infrastructure, not as an exaggerated “AI miracle” demo. The visual system now uses a premium orchid-violet, gold, white, and silver DNA identity.
Causal mechanism audit
Ablation policies and treatment/control surfaces help separate mechanism from coincidence.
Evidence vault mindset
Seeds, manifests, CSV/JSON artifacts, replay bundles, and reports are treated as first-class product surfaces.
Genesis core, Studio product layer
The Python engine remains clean. CodonTrace Studio is a separate future workspace for UI, local API, live streams, replay inspection, test running, and evidence review.
Repo-grounded claims
Messaging is sourced from README, CLAIMS, REPRODUCIBILITY, BENCHMARKS, CITATION, release evidence, and compatibility matrix materials.
References
Real project links, not dead placeholders.
Boundaries
No unsupported AI claims.
- Not proof of AGI.
- Not proof of consciousness.
- Not proof of artificial life as a settled result.
- Not benchmark superiority without evidence gates.