What if code had a lifespan? A morphogenetic computing experiment
Hi HN! I've been exploring what happens when we treat code not as architecture but as a living ecosystem. Demo: https://nabolitains.github.io/plasma/ This started from a simple question: The slime mold Physarum can solve mazes without a brain. What if our code could similarly self-organize? The result is Plasma - computational cells that: - Metabolize energy from their environment - Reproduce with mutations - Form emergent colonies nobody designed - Die (and that's a feature) No ML, no complex algorithms. Just simple rules creating complex behaviors. The entire thing is…
What it does
In the maker’s words, at launch
Hi HN! I've been exploring what happens when we treat code not as architecture but as a living ecosystem. Demo: https://nabolitains.github.io/plasma/ This started from a simple question: The slime mold Physarum can solve mazes without a brain. What if our code could similarly self-organize? The result is Plasma - computational cells that: - Metabolize energy from their environment - Reproduce with mutations - Form emergent colonies nobody designed - Die (and that's a feature) No ML, no complex algorithms. Just simple rules creating complex behaviors. The entire thing is 800 lines of vanilla JS/Canvas. I'm particularly interested in your thoughts on: 1. What patterns do you see emerging after ~1000 cycles? 2. Could this approach scale to real applications? 3. What would you add to the "genetic code"? The philosophical manifesto is in the repo if you're into that sort of thing. But the code speaks for itself.
Does the same job
all alternatives →- TNThe No-Code Tool I built for my own AI Experiments2024 · github.com · ▲5
Hi guys, I’m excited to share an update on ReproModel, an open-source toolbox designed to streamline the testing and reproduction of machine learning models. I, like many of you, have really struggled with benchmarking and comparing models, from missing code, to opaque experiment parameters slowing the process. I decided to take matters into my own hands, and created a mini-toolbox in my free time to streamline the process. The goal is to reduce the time and effort spent on replicating experiments, enabling researchers to focus on innovation rather than setup. Knowing this task is not an…
- LMLiving Memory Dynamics – "living" episodic memory embedding spaceJan 2026 · github.com · ▲6
I built Living Memory Dynamics (LMD), a Python framework for simulating biologically-inspired "living" episodic memory directly in embedding space—no external LLM required for the core dynamics. Memories evolve over time like living entities: they have metabolic energy states (vivid → active → dormant → fading → ghost), emotional trajectories, and resonance fields that let them influence each other. The central piece is a new differential equation I derived (the Joshua R. Thomas Memory Equation) that drives continuous-time evolution: dM/dt = ∇φ(N) + Σⱼ Γᵢⱼ R(vᵢ, vⱼ) + A(M, ξ) + κη(t)…
- IBI built new type of dev environment for agentic coding2025 · github.com · ▲6
The main goal of this was to be able to not just run multiple Claude Code sessions at once, but actually manage them and keep track of what I was doing. Sometimes this is multiple attempts on the same task, sometimes I work several tasks at once. Really I was just sick of twiddling my thumbs waiting for the coding agent to finish, and I wanted it to be easy to work on/review/test another change while I waited.
- OROperon – Reliable Agents Using Biological Motifs and Category TheoryDec 2025 · github.com · ▲6
Hey HN, I’ve been working on a Python library and formal framework to make Agentic AI systems less fragile. The core premise is that biological cells are essentially distributed information processors that solved "hallucinations" (noise), "infinite loops" (cancer), and "resource exhaustion" (ischemia) billions of years ago. Instead of just using this as a loose metaphor, I used Applied Category Theory (specifically Polynomial Functors in Poly) to rigorously map Gene Regulatory Networks to Software Agents. Key concepts implemented in the library: * Metabolic Coalgebras: We model token budgets…
- ALartificial life whole cell project2015 · ▲6
[1] is a trailer for a project in artificial life. The goal is to create a living artificial cell, based on the chemlambda artificial chemistry. Everything in the trailer is a recording of a real computation, done with the programs from the chemlambda repository. Everything was run on a regular laptop, then screencasted and trimmed. The programs are available for playing at the chemlambda github repository [2] where you can also find more info about the research behind this project. [1] https://vimeo.com/138476341 [2]…
- PGProcedurally Generated Artificial Life2020 · kirkas.com · ▲6
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Launched alongside, June 2025
the whole month →- IM
Hey HN! Pilots everywhere are required to keep a logbook of all their flying hours, aircraft, airports, and so on. Since I track everything digitally (some people still just use paper logbooks!), I put together some data visualizations and a few 3D globes to show my flying history. This globe is probably my favourite so far: https://jameshard.ing/pilot/globes/all If you’ve got ideas for other graphs or ways to show this kind of data, I’d love to hear them!
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I was the main contributor to workout.lol, an open-source fitness app to easily build a workout routine. The project had traction (1.4k GitHub stars, 95 forks, ~20K visits/month), but was eventually sold due to video licensing hurdles. The new owner stopped maintaining it, and the repo went abandoned. Over the next 9 months, I sent 15 emails to try to save it : no replies. Feature requests & issues were ignored. The community was left with a "broken" tool let's say. I couldn't just let it die So I built the new version from scratch with the same open-source spirit, but a better…
Dev tools · 2025 · github.com