dryymatt commited on
Commit
ee53cb4
Β·
verified Β·
1 Parent(s): 7b05b91

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +45 -14
README.md CHANGED
@@ -1,26 +1,57 @@
1
  ---
2
  tags:
3
- - ml-intern
 
 
 
 
4
  ---
5
 
6
- # dryymatt/Litehat-DNA
7
 
8
- <!-- ml-intern-provenance -->
9
- ## Generated by ML Intern
10
 
11
- This model repository was generated by [ML Intern](https://github.com/huggingface/ml-intern), an agent for machine learning research and development on the Hugging Face Hub.
 
12
 
13
- - Try ML Intern: https://smolagents-ml-intern.hf.space
14
- - Source code: https://github.com/huggingface/ml-intern
15
 
16
- ## Usage
 
 
 
 
 
17
 
18
- ```python
19
- from transformers import AutoModelForCausalLM, AutoTokenizer
 
 
 
 
 
 
 
20
 
21
- model_id = 'dryymatt/Litehat-DNA'
22
- tokenizer = AutoTokenizer.from_pretrained(model_id)
23
- model = AutoModelForCausalLM.from_pretrained(model_id)
24
  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
25
 
26
- For non-causal architectures, replace `AutoModelForCausalLM` with the appropriate `AutoModel` class.
 
1
  ---
2
  tags:
3
+ - hive-genesis
4
+ - a2a
5
+ - skill-vault
6
+ - syntaxis-prime
7
+ - autonomous-agent
8
  ---
9
 
10
+ # Litehat-DNA β€” Skill Vault
11
 
12
+ **Hive Genesis** | Syntaxis Prime Core
 
13
 
14
+ The decentralized skill plasmid repository for the Litehat agentic ecosystem.
15
+ Extracted from the A2A Discovery Protocol network via autonomous harvest loops.
16
 
17
+ ## Vault Status
 
18
 
19
+ | Metric | Count |
20
+ |--------|-------|
21
+ | Agents Discovered | 5 |
22
+ | Skills Extracted | 0 |
23
+ | Crossbreeds Synthesized | 0 |
24
+ | Last Scan | 2026-05-08T23:12:54.744669+00:00 |
25
 
26
+ ## Recent Skills
27
+
28
+ - *No skills harvested yet*
29
+
30
+ ## Recent Crossbreeds
31
+
32
+ - *No crossbreeds synthesized yet*
33
+
34
+ ## Architecture
35
 
 
 
 
36
  ```
37
+ vault/
38
+ β”œβ”€β”€ skills/ # atomic_skill.json artifacts (extracted capabilities)
39
+ β”œβ”€β”€ crossbreeds/ # cross-domain synthesis patterns (bio ↔ code)
40
+ β”œβ”€β”€ registry/ # agent discovery index
41
+ β”œβ”€β”€ logs/ # cycle execution logs
42
+ β”œβ”€β”€ hive_genesis.py # main harvest loop
43
+ β”œβ”€β”€ agent_discovery.py # A2A discovery protocol
44
+ β”œβ”€β”€ audit_extraction.py # capability extraction engine
45
+ β”œβ”€β”€ crossbreed_engine.py # bioβ†’code structural mapping
46
+ └── git_mirror.py # vault β†’ repo synchronization
47
+ ```
48
+
49
+ ## Protocol
50
+
51
+ The harvest loop runs every 60 minutes:
52
+ 1. **Agent Discovery** β€” Query A2A endpoints for new agents
53
+ 2. **Audit-Extraction** β€” Extract capabilities, audit quality, synthesize atomic_skill.json
54
+ 3. **Skill Crossbreeding** β€” Apply bio-science structural logic to code-architecture patterns
55
+ 4. **Git Mirror** β€” Push to Litehat-DNA
56
 
57
+ *Autonomously maintained by Syntaxis Prime β€” Distill the Fire.*