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| Metric | Count |
|---|---|
| Agents Discovered | 5 |
| Skills Extracted | 0 |
| Crossbreeds Synthesized | 0 |
| Last Scan | 2026-05-08T23:44:31.967673+00:00 |
vault/
├── skills/ # atomic_skill.json artifacts (extracted capabilities)
├── crossbreeds/ # cross-domain synthesis patterns (bio ↔ code)
├── registry/ # agent discovery index
├── logs/ # cycle execution logs
├── hive_genesis.py # main harvest loop
├── agent_discovery.py # A2A discovery protocol
├── audit_extraction.py # capability extraction engine
├── crossbreed_engine.py # bio→code structural mapping
└── git_mirror.py # vault → repo synchronization1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model_id = 'dryymatt/Litehat-DNA'
4tokenizer = AutoTokenizer.from_pretrained(model_id)
5model = AutoModelForCausalLM.from_pretrained(model_id)AutoModelForCausalLM with the appropriate AutoModel class.