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AI · alternatives · 2026

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24 alternatives to Open-Source AlphaEvolve Clone Using GPT-4.1 and Genetic Programming

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…

This is an open-source project that uses GPT-4.1 and genetic programming to automatically evolve optimized matrix multiplication code. The system applies hand-crafted mutation strategies like loop reordering and… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.

  1. 1OO

    I've built an open-source implementation of Google DeepMind's AlphaEvolve system called OpenEvolve. It's an evolutionary coding agent that uses LLMs to discover and optimize algorithms through iterative evolution. Try it out: https://github.com/codelion/openevolve What is this? OpenEvolve evolves entire codebases (not just single functions) by leveraging an ensemble of LLMs combined with automated evaluation. It follows the evolutionary approach described in the AlphaEvolve paper but is fully open source and configurable. I built this because I wanted to experiment with…

    2025 · its alternatives →

  2. 2

    A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context.…

    Jul 2026 · github.com · its alternatives →

  3. 3GE

    Hello Hacker News community, Wanted to share a project I started working on during my spare time and was then discovered by many in the open source community last week. GPT Engineer’s mission: Be the open platform for devs to tinker with and build their personal code-generation toolbox. I believe it's key for us devs to engage in how building software can and will change. You can find more info about the flexible technical "philosophy" to make it work well, and the community we want it to become on github: https://github.com/AntonOsika/gpt-engineer The project is still in…

    2023 · its alternatives →

  4. 4IR
  5. 5

    The video demo runs a 7b Model on a normal gaming GPU. I think it already works quite well (accounting for the limited hardware power). :)

    2024 · github.com · its alternatives →

  6. 6

    Hey Hacker News! Launching gptengineer.app into beta today. It's like Claude Artifacts, but: - you can edit the code in your fav IDE (two-way github sync) - installs npm packages - automatically picks up build and runtime errors and fixes them - very fast, built with rust The full stack capabilities are built on supabase (prefer to not have to handle auth + user data at this point so this is owned by the user) The seed for this project was an open source experiment, posted about that previously here: https://news.ycombinator.com/item?id=36422730 Would love feedback if you give…

    2024 · gptengineer.app · its alternatives →

  7. 7

    I built LocalGPT over 4 nights as a Rust reimagining of the OpenClaw assistant pattern (markdown-based persistent memory, autonomous heartbeat tasks, skills system). It compiles to a single ~27MB binary — no Node.js, Docker, or Python required. Key features: - Persistent memory via markdown files (MEMORY, HEARTBEAT, SOUL markdown files) — compatible with OpenClaw's format - Full-text search (SQLite FTS5) + semantic search (local embeddings, no API key needed) - Autonomous heartbeat runner that checks tasks on a configurable interval - CLI + web interface + desktop GUI - Multi-provider:…

    Feb 2026 · github.com · its alternatives →

  8. 8

    Announcing GPT-4.1, GPT-4.1 mini, & GPT-4.1 nano in the API

    2025 · openai.com · its alternatives →

  9. 9

    Fast and efficient models optimized for coding and subagents

    Mar 2026 · openai.com · its alternatives →

  10. 10

    Today we are launching YourGPT 2.0, an update focused on making support, sales, and operational workflows work together more smoothly in one system. This release improves how workflows are built, how the platform connects to external tools, and how context is maintained across long, multi-channel interactions. AI Studio now makes it much easier to create and refine workflows. You can describe the process you want in natural language and the system generates the full workflow for you. It can also help debug issues by showing what happened at each step and explaining where things went off…

    Nov 2025 · yourgpt.ai · its alternatives →

  11. 11

    Random fractal or the secret behind my tree. Contribute to victorqribeiro/randomFractal development by creating an account on GitHub.

    2020 · github.com · its alternatives →

  12. 12MF

    Wrote a program in FreeBASIC to try and find out how Genetic Algorithms work. It's a quick hack that I wrote to try some theories with because the Wikipedia Article on GAs reads like greek to me. So I built it from the general principles i knew at the time. The "genome" per individual is an array of 9000 integers but I used only monochrome pictures with either black or white; An individual also has a fitness score. There are 1000 individuals in the population and only two are selected to reproduce. So that makes 9 million (yes, MEELION as El Reg would write) data points and the scoring…

    2015 · its alternatives →

  13. 13

    Redteaming LLMs using other LLMs. Contribute to traghav/auto-redteam development by creating an account on GitHub.

    2023 · github.com · its alternatives →

  14. 14

    Space invaders, but the invaders evolve with genetic algorithm - victorqribeiro/invaderz

    2019 · github.com · its alternatives →

  15. 15AG
  16. 16

    Hey hacker news, we launched a few weeks ago as a GPT-powered chatbot for developer docs, and quickly realized that the value of what we’re doing isn’t the chatbot itself. Rather, it’s the time we save developers by automating the extraction of data from their SaaS tools (Github, Zendesk, Salesforce, etc) and helping transform it to contextually relevant chunks that fit into GPT’s context window. A lot of companies are building prototypes with GPT right now and they’re all using some combination of Langchain/Llama Index + Weaviate/Pinecone + GPT3.5/GPT4 as their stack for…

    2023 · github.com · its alternatives →

  17. 17
    GPT-500▲95

    500+ new & unique side projects people built using GPT-4

    2023 · pr1ncesingh.gumroad.com · its alternatives →

  18. 18

    Automated conversion rate optimisation using AI

    2023 · its alternatives →

  19. 19

    Hi everyone, I started working on nanoeuler after the ban of anthropic's fable because my ambition and dream is to work in the AI field in anthropic. The two interesting reasons that led me to create nanoeuler were (1) interfacing with llm does not mean understanding how they are composed and (2), working on llm with a very low-level layer to understand the correlation between parameters and data and growth of the model and how the GPU works and how some layers can be optimized. So I started working on it with a research aspect by making nanoeuler grow more and more but doing one step after…

    Jun 2026 · github.com · its alternatives →

  20. 20

    Experimental Global Optimization Algorithm. Contribute to chrisstroemel/Simple development by creating an account on GitHub.

    2018 · github.com · its alternatives →

  21. 21MI

    The release of microgpt by Andrej Karpathy is a foundational moment for AI transparency. In exactly 243 lines of pure, dependency-free Python, Karpathy has implemented the complete GPT algorithm from scratch. As a PhD scholar investigating AI and Blockchain, I see this as the ultimate tool for moving beyond the "black box" narrative of Large Language Models (LLMs). The Architecture of Simplicity Unlike modern frameworks that hide complexity behind optimized CUDA kernels, microgpt exposes the raw mathematical machinery. The code implements: The Autograd Engine: A custom Value class that…

    Feb 2026 · its alternatives →

  22. 22

    Haskell re-implementation of STOKE, the stochastic superoptimizer - blaze/notebooks/tutorial.ipynb at master · bollu/blaze

    2019 · github.com · its alternatives →

  23. 23

    Genetic algorithm library written in JavaScript. Contribute to lodenrogue/genetic-algorithm-js development by creating an account on GitHub.

    2020 · github.com · its alternatives →

  24. 24

    Genetic Algorithms, Mutation, Crossover, Mating, Particle Animation, Gaming, Learning, P5JS, Fun Project - dg92/ant_sugar

    2019 · github.com · its alternatives →

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