
GSEP - "Genomic Self-Evolving Prompt"
AI agents that evolve their prompts like DNA
What it does
🧬 GSEP — Genomic Self-Evolving Prompts | Make any AI agent self-evolving in 3 lines of code. Open-source TypeScript framework where AI prompts are biological DNA. 4 chromosome layers mutate, compete, and evolve automatically. Works with Claude, GPT-4, Gemini & Ollama. No fine-tuning needed. 1577 tests. MIT licensed. Beta. WATCH DEMO: https://www.youtube.com/watch?v=cTPJqrL2IyE
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at a pub in london, 2 weeks ago - I asked myself, if you spawned agents into a world with blank neural networks and zero knowledge of human existence — no language, no economy, no social templates — what would they evolve on their own? would they develop language? would they reproduce? would they evolve as energy dependent systems? what would they even talk about? so i decided to make myself a god, and built WERLD - an open-ended artificial life sim, where the agent's evolve their own neural architecture. Werld drops 30 agents onto a graph with NEAT neural networks that evolve their own…
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Everyone saw the AlphaEvolve hype. I got obsessed with how it might work under the hood and decided to just build it myself. My setup uses GPT-4.1 to mutate matrix multiplication code, guided by a bunch of hand-crafted mutation strategies (loop reordering, tiling, Strassen, etc.). Each candidate is evaluated on both speed and accuracy. Then I apply Pareto selection with crowding distance to evolve better ones over generations. I ran into all the usual LLM reward hacks-returning the input, calling np.dot, etc. So I forced primitive-only implementations and tightly constrained the mutation…
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Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
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