Elizabeth AIML Platform — Nova R&D (Soul + Mask + Fast‑Weights)
This repo contains the Elizabeth AIML platform codebase and the Nova R&D blueprint. The goal is a single lifelong agent with identity anchored in weights (Soul), safe real‑time plasticity (Mask ≤5%), and immediate stickiness via Fast‑Weights — with rigorous receipts, eval gates, and rollback.
Key locations:
projects/elizabeth/blueprint/: R&D blueprint, ADRs, experiments, metrics, receipts.mlops/: gateway, tools, receipts, sync scripts.etl/: pipelines and data utilities.models/: model artifacts (do not commit large binaries to GitHub). Use Hugging Face for artifacts.
Sync policy:
- Code → GitHub
adaptnova/e-zeropoint(private). Branches:main,develop. - Artifacts → Hugging Face
LevelUp2x/e-zeropoint(private). LFS for weights; publish viamlops/sync/publish_hf.sh.
Auth & secrets:
- GitHub: authenticated via
ghCLI (seegh auth status). - Hugging Face: set
HUGGINGFACE_HUB_TOKENin/data/adaptai/secrets/dataops/.env.
Receipts & Ops:
- Per‑turn receipts under
projects/elizabeth/blueprint/13_receipts/and Slack summaries if configured. - See
mlops/receipts/collect_receipt.pyandmlops/slack/post_update.py.
Contribution:
- Python 3.10+, type hints on new functions, logging over print. Tests under
etl/withpytest.