Bring Your Own Model → Self-Evolving AI
About • Architecture • How It Works • Quick Start • Contributing
Current LLMs update every few months. Between releases, they're frozen — no learning from interactions or real-time information. But humans don't work this way: our neural connections change through every experience.
Möbius is a system that makes LLMs continuously learn and self-iterate — serving and learning form one endless loop, like a Möbius strip. The model evolves from your interactions, and even from real-time information feeds.
For the philosophy behind this project — why we believe models should learn like humans, and how we plan to get there — see Proposal & Design.
- User chats with AI
- System captures conversations
- Judge consistency between turns
- Synthesize training samples
- Train model with new samples
- Model evolves
- Python 3.10+
- Ray cluster
- GPU for inference and training
git clone https://github.com/vie-serendipity/Mobius.git
cd Mobius
uv syncuv run python -m mobius.main --ray-address ray://xx.xx.xx.xx:10001 --model Qwen/Qwen3-4B-Instruct-2507This is an early-stage project exploring continuous learning for LLMs.
If you're interested in this direction, feel free to open an issue or reach out to me via email.