0.1.11 — Qualitative Self-Attention in Brainstorm

Qualitative Self-Attention in Brainstorm

Brainstorm QNN neurons no longer only see graph neighbors (the previous layer). Each forward pass runs a colony-style self-attention step over past / non-local neurons.

How it works

1. Collect candidates: earlier non-adjacent layers this epoch + other agents' multi-epoch memory
2. Heuristic pair score (shared persona/content lexicon → strength + distance buckets)
3. Top-k edges inject an attended-value block into the agent prompt
4. Store edges in state['attention_edges']; log as [QNN ATTEND]

Inspired by colony Qualitative Self-Attention (AttentionAgent / Social Playbook).

Files

• deepthink/self_attention.py
• app.py brainstorm agent forward path
• tests/phase_self_attention.py
• README + RELEASE_NOTES

See RELEASE_NOTES.md for full detail.