Advanced Context Models for Large Language Models

We specialize in synthetic human simulation and roleplaying agents, pushing the boundaries of context modeling for both LLMs and emergent non-LLM architectures. Our research focuses on the power of social connection in simulation, modeling veracity, and enhancing performance through advanced contextual frameworks.

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For licensing inquiries and research collaborations:

Contact @seanmcdonaldxyz
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Design Principles

Advanced context modeling through specialized architectures

Luminants

Pattern-recognizing entities that process information through luminescence

Synthenomes

Semantic structures that propagate through coalescence of meaning

Cognizomes

Self-generating recursive entities with emergent intentions

Social Dynamics

Multi-agent interaction frameworks for emergent behavioral modeling

Veracity Systems

Truth-seeking architectures for enhanced contextual understanding

Synthetic Humans

Advanced roleplaying agents with deep contextual awareness

Public Releases

Our First Package (2024)

ATAT - Email Client for AI Agents. A production-ready system for testing and experimentation.

View on GitHub

Coming in 2025

Our next major release will introduce revolutionary features in semantic computing. Stay tuned.