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CodonTrace Genesis v0.3.0a1 — Public Alpha Research Release

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@Parvaz-Jamei Parvaz-Jamei released this 22 May 01:13
· 26 commits to main since this release
v0.3.0a1
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CodonTrace Genesis v0.3.0a1 — Public Alpha Research Release

This is the first public alpha release of CodonTrace Genesis, a deterministic Python research library for digital evolution, causal mechanism auditing, replayable artificial life experiments, and evidence-gated AI/evolution studies.

CodonTrace Genesis is designed as a library-as-tool. It provides experimental primitives, audit records, deterministic replay, evidence manifests, and scientific guardrails for controlled research workflows. It does not hard-code intelligence, success, or scientific conclusions.

Highlights

  • Deterministic replay and digest-backed experiment records
  • Digital evolution primitives for genome, mutation, birth, lineage, selection, survival, and death diagnostics
  • Capsule-mediated signaling and communication-ablation policies
  • Signal → memory → action causal audit records
  • Skill compression and child-outcome audit support
  • Role mechanics, heldout partner evaluation, and collective-task evidence paths
  • Open-endedness-oriented metrics for novelty, persistence, learnability, adaptive success, and behavior-space expansion
  • Claim-gated scientific reporting to separate descriptive observations from stronger causal claims
  • Public README, citation metadata, release evidence, examples, and CI validation

Python support

This public alpha release targets:

  • Python 3.11
  • Python 3.12
  • Python 3.13
  • Python 3.14

The GitHub Actions CI matrix validates the release-critical path across the supported Python versions.

Research status

This is an alpha research software release.

It is intended for:

  • API exploration
  • controlled artificial life and digital evolution experiments
  • deterministic replay testing
  • mechanism-level audits
  • early research software review
  • preparation for PyPI distribution, Zenodo DOI archival, public technical documentation, and future JOSS-style research software work

It is not presented as a final peer-reviewed benchmark result.

Evidence and governance

This release includes evidence-oriented project metadata and governance files, including:

  • README.md
  • CITATION.cff
  • RELEASE_EVIDENCE.md
  • CHANGELOG.md
  • pyproject.toml
  • GitHub Actions CI workflows
  • examples and tests for release-critical behavior

The scientific policy is intentionally conservative: placeholder data, empty digests, fake evidence, not_run:*, NaN, Infinity, or unexecuted artifacts are not treated as positive scientific evidence.

License

CodonTrace Genesis v0.3.0a1 is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0-or-later).

This license is selected to keep modified, redistributed, and network-deployed versions open, attributable, and scientifically inspectable.

Commercial/proprietary use cases that cannot comply with AGPL-3.0-or-later may contact the author for a separate commercial license.

See LICENSE and NOTICE.

Installation

From source:

git clone https://github.com/Parvaz-Jamei/codontrace-genesis.git
cd codontrace-genesis
python -m pip install -e .

After PyPI publication, the package is intended to be installable with:

pip install codontrace

Citation

Citation metadata is included in CITATION.cff.

After Zenodo processes this GitHub Release, a DOI should become available for archival citation.

Notes

This release is part of the CodonTrace/GENESIS research direction toward reproducible, inspectable, deterministic, and evidence-backed digital evolution systems.

License

CodonTrace Genesis v0.3.0a1 is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0-or-later).

This license is selected to keep modified, redistributed, and network-deployed versions open, attributable, and scientifically inspectable.

Commercial/proprietary use cases that cannot comply with AGPL-3.0-or-later may contact the author for a separate commercial license.

See LICENSE and NOTICE.

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