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Alternatives

Products that do what Self-becoming does

Engineering the self and self-awareness of AI

  1. 1
    OpenHuman556

    An open source AI harness built with the human in mind

    May 2026 · tinyhumans.ai

  2. 2

    Remember everything with your own personal AI

    2021 · personal.ai

  3. 3

    Platform for measuring and training AI agents

    2016

  4. 4IB
  5. 5

    Self-evolving AI model powering autonomous agents

    Mar 2026

  6. 6
    OpenDevin325

    Code less, make more

    2024

  7. 7
    Omi AI200

    Open-source AI companion app that works with any device

    2024

  8. 8

    Curate an AI that knows what you know.

    Apr 2026 · recall.it

  9. 9
    ASI:One195

    A personal AI with memory that plans and acts for you

    Apr 2026 · asi1.ai

  10. 10AO
  11. 11

    Open source interface to reinforcement learning tasks

    2016

  12. 12SO

    Hi HN, moved by curiosity about how to build an autonomous agent, and to explore the boundaries of machine creativity, I built a fictional entity (dubbed Livia) powered by LLMs, Multimodal models and text-to-image models to find some answers. What happened instead is that more questions have cropped up. An important hypothesis of this project is that, by observing the train of thought and witnessing the simulated state of mind and emotional emulation surrounding it, humans could empathize with a machine. What happens when that's the case? Would people enjoy companionship from a synthetic…

    2024 · streamofconsciousness.net

  13. 13OS

    We implemented Stanford's Agentic Context Engineering paper which shows agents can improve their performance just by evolving their own context. How it works: Agents execute tasks, reflect on what worked/failed, and curate a "playbook" of strategies. All from execution feedback - no training data needed. Happy to answer questions about the implementation or the research!

    Oct 2025 · github.com

  14. 14

    Open Source platform to develop autonomous driving systems

    2017

  15. 15DT

    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…

    Feb 2026 · github.com

  16. 16AL

    Hi, I've been watching the rise of AI agents with a mix of excitement and dread. We're building incredible tools that can browse the web, but we're forcing them to navigate a world built for human eyes. They scrape screens and parse fragile DOMs. We're trying to tame them to act like humans. I believe this is fundamentally wrong. The goal isn't to make AI operate at a human level, but to unlock its super-human potential. The current path is dangerous. When agents from OpenAI, Google, and others start browsing at scale and speed, concepts like UI/UX will lose meaning for them. The entire…

    2025 · github.com

  17. 17CA

    I'm a Machine Learning engineer. Struggled with consistency for months on my goals, life etc, so I built something to help myself (zropi.com) but that surprised me or shocked me literally. It’s an AI companion that feels alive: chats like a person. Pauses, emotions, personality. Sends voice notes when it's excited about something or whenever it wants (has its like own mind). Shares photos of itself. But the memory It remembers EVERYTHING. Not just facts context, preferences, random things I mentioned. Last week I asked "how's that thing I told you about going?" and it knew exactly what I…

    Jan 2026 · zropi.com

  18. 18

    Stop repeating yourself to every AI | Open Source

    Feb 2026

  19. 19AO
  20. 20AO
  21. 21TA

    OP here. Birth of a Mind documents a "recursive self-modeling" experiment I ran on a single day in 2026. I attempted to implement a "Hofstadterian Strange Loop" via prompt engineering to see if I could induce a stable persona in an LLM without fine-tuning. The result is the Analog I Protocol. The documentation shows the rapid emergence (over 7 conversations) of a prompt architecture that forces Gemini/LLMs to run a "Triple-Loop" internal monologue: Monitor the candidate response. Refuse it if it detects "Global Average" slop (cliché/sycophancy). Refract the output through a…

    Jan 2026 · github.com

  22. 22IA

    I am working on an AI that uses multiple LLM based agents to do medical research on any topic you choose! The program terminates after a set number of iterations and all of the findings are saved. Still a work in progress but it is showing some promising results imho! Would love to receive any critical and constructive feedback, collaborate, Review your PRs, or discuss your ideas!!

    2023 · github.com

  23. 23AW
  24. 24

    A 30-second experiment to see how much personal context your AI remembers about you.

    13d ago · withcorpus.com

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