Modular Agent Based Evolution Framework
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Updated
Feb 17, 2026 - C++
Modular Agent Based Evolution Framework
Artificial life in the browser: organisms evolve genomes, brains, memory and communication. Nothing about their behaviour is scripted.
Python phylogeny tracker for in silico evolution experiments
Dyadic Framework
Digital evolution model dedicated to bacterial in silico experimental evolution.
Computational model of laboratory directed evolution + experiments.
We use digital evolution to investigate the evolutionary consequences of phenotypic plasticity.
CodonTrace Genesis — deterministic research software for digital evolution, causal mechanism auditing, replayable ALife experiments, and evidence-gated AI/evolution studies.
Source for our manuscript, "Adaptive phenotypic plasticity stabilizes evolution in fluctuating environments"
A collection of work investigating the potentiation of associative learning in digital organisms
Faithful implementations of 15 classic artificial-life systems + a five-family battery of emergent-complexity measures.
A Red Queen-style symmetric melee evolution sandbox: grid-world agent-based simulation that faithfully records full time-series data for others to learn selection operators from; a pure data recorder with no built-in learner and no hand-written fitness
A digital evolution system and library
Digital evolution research on the substrate constraints that determine what selection can express
A prokaryotic architecture for LLM agent ecosystems: horizontal capability transfer with an immune system, dormancy that costs nothing, and epidemiological measurement of how agent capabilities actually spread.
A digital evolution soup built as an archaeology site: self-replicating machine code, and the instruments to work out what it became.
A persistent digital evolution world you can watch — and, rarely, touch. Organisms evolve on their own; naturalists pool CPU proof-of-work into public wishes that become small, bounded miracles. No token. Verifiable by anyone.
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