| name | evez-fire-correlator |
| version | 1.0.0 |
| description | Semantic cross-correlation engine for FIRE events. Uses HuggingFace embeddings (sentence-transformers/all-MiniLM-L6-v2) to find cosine similarity across all FIRE events. Detects META-FIRE candidates when topo_overlap ≥ 0.7.
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| tags | ["evez","fire","correlation","embeddings","meta-fire","huggingface"] |
EVEZ FIRE Correlator
Embeds all FIRE events and finds hidden META-FIRE candidates via semantic similarity.
What it does
- Loads all FIRE events (from local store or Base44 entity)
- Embeds each event's title + description + domain using
all-MiniLM-L6-v2
- Computes pairwise cosine similarity matrix
- Flags pairs with similarity ≥ 0.70 as META-FIRE candidates
- Computes candidate poly_c by merging tau, omega, N values
- Outputs ranked candidate list
Usage
/synthesize
→ Embedding 14 FIRE events...
→ Computing 91 pairwise similarities...
→ META-FIRE candidates found: 3
[1] MPPA ↔ KoPE similarity=0.891 candidate_poly_c=14.51 CRITICAL_MASS
[2] DACS ↔ Kathleen similarity=0.743 candidate_poly_c=9.03 SUPERCRITICAL
[3] KoPE ↔ DACS similarity=0.712 candidate_poly_c=10.98 SUPERCRITICAL
Direct execution
python run.py --events-file ~/.openclaw/evez-fire-events.json
python run.py --threshold 0.65
python run.py --output mermaid
Env required
HF_ACCESS_TOKEN=hf_...