APPLIED RESEARCH

MYTHOS AI

Applied AI Research Lineage

Where models, retrieval, agents, memory, local inference, and orchestration are explored before selected patterns become bounded capabilities in PANTHEON, AEON, and Ask Mythos.

Research / Technical Lineage

Research thesis

Intelligence before product architecture

  1. 01

    MYTHOS AI is the public research identity for applied intelligence work across Mythos Systems.

  2. 02

    GhostAI is not the public product name.

  3. 03

    It is not presented as a polished general-purpose assistant or a production autonomous platform.

Training direction

Domain training direction

Research corpora emphasize engineering domains Mythos products actually serve.

  • Network engineering, architecture, and design

  • Network security engineering, architecture, and design

  • Cybersecurity across a wide set of disciplines

  • Software engineering

  • Languages: Rust, Go, Python, C++, and web technologies

  • Agentic frameworks

  • AI training and fine-tuning

  • Natural-language solutions for network and security platforms

Hybrid approach

Fine-tune plus RAG

Deep domain knowledge from fine-tuning, with factual grounding from retrieval.

The model is trained to reason about network problems; RAG keeps answers tied to current documentation when evidence is available.

Compare RAG-only vs fine-tune + RAG (expand)
Research comparison - not a production SLA or benchmark claim
DimensionContext injection onlyTrained weights + RAG
Knowledge SourceContext injection at runtimeTrained into model weights + RAG augmentation
Domain UnderstandingSurface-level pattern matchingDeep architectural comprehension
TerminologyRequires explicit definitionsNative understanding of vendor terminology
ReasoningFollows retrieved snippetsSynthesizes knowledge across sources
Offline CapabilityRequires embedding lookupsCore knowledge persists without retrieval
LatencyHigh (retrieval + generation)Low (direct generation + optional retrieval)

Component map

Research component map

Working names for research surfaces - not a claim that every component ships as a public product.

  • MYTHOS AI

    Main application shell

  • SPECTER

    Knowledge search interface

  • PHANTOM

    AI conversation interface

  • SHADE

    Metrics and insights

  • SEANCE

    Configuration and control

  • CRYPT

    Citation and source viewer

Where research lands

Relationship to products

  • PANTHEON

    MYTHOS AI explores intelligence patterns. PANTHEON turns selected patterns into a permission-controlled engineering environment.

  • AEON

    Selected patterns apply to private life management where structured records stay authoritative and AI remains optional.

  • Ask Mythos

    Ask Mythos is a constrained public implementation: approved corpus, deterministic retrieval, browser-local generation, and route citations - not the entire research system.

MYTHOS AI is research and technical lineage. Detailed implementation claims remain evidence-gated. It is not a production autonomous AI platform.

Explore the research behind the portfolio

MYTHOS AI preserves applied model, agent, retrieval, and orchestration research that informs active products.