Show HN: Symbio self fine-tuning AI loop

Show HN: Symbio self fine-tuning AI loop(github.com)

7 points by huyedit 5 hours ago | 3 comments

It trains based off the mistakes it made with the solution you gave OR what it got. Thank you for reading

ChulioZ 4 hours ago |

I place a lot of importance in my own projects that every agent session captures non-obvious learnings as rules and that skills learn from their executions. Interesting approach to bring this fully local! A bit unfortunate that the RAM requirements will lock some Macs out, but I guess that's not easily changeable right now.

aiagenta2z 38 minutes ago | |

So How do you prevent the continuously fine-tunes itself from drifting away from its original capabilities? The idea of training LoRA adapters from user corrections is interesting, and how do you balance personalization vs. catastrophic forgetting?

huyedit 4 hours ago | |

Well, yeah it is fully local. Unless you want to bring in an MCP server from a frontier AI model to explain and give the solution (but that is in a heavy work in process). Thanks for the feedback and yeah the ram do lock some macs out!