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lex-attention-schema

v0.1.0RubyGems· Ruby

Graziano's Attention Schema Theory for brain-modeled agentic AI — the agent maintains a simplified internal model of its own attention process, enabling awareness attribution, social attention modeling, meta-attention monitoring, and natural-language attention reports.

The verdict
Archived. Source repository is archived on GitHub. No recent activity — look for a maintained alternative.
No recent activity — look for a maintained alternative.
Live from the RubyGems registry · derived rules, not AI
How it scores
MaintenanceArchived
PopularityNiche
SecurityClean
LicensePermissive
DepsZero deps
Maintenance
Source repository is archived on GitHub.
Popularity
19 downloads / week
Security
No known advisories for this version (OSV).
License
MIT
Dependencies
No runtime dependencies
Recent releases
  • 0.1.03 months ago
lex-attention-schema — Graziano's Attention Schema Theory for brain-modeled agentic AI — the agent maintains a simplified internal model of its own attention process, enabling awareness attribution, social attention modeling, meta-attention monitoring, and natural-language attention reports. (Ruby / RubyGems) · Modules