Exegesis Protocol v0.0.2
Inject context. Extract meaning.
Or input raw data
Inject context. Extract meaning.
Exegesis acts as the "Brain" of the Stellr ecosystem. It is a proprietary analysis engine designed to move beyond simple keyword matching. By acting as the Core MCP Point, Exegesis bypasses surface noise to understand the methodology, tool usage, and problem-solving paths you take.
> INJECT CONTEXT.
> EXTRACT MEANING.
> ELIMINATE PROMPTING.
Exegesis maps human intent toward a goal without harvesting personal data. It analyzes the "how" rather than the "who," ensuring privacy while optimizing local model performance.
Combining the flexibility of deep learning with the reliability of symbolic logic. This ensures Exegesis doesn't just hallucinate summaries but adheres to factual ground truths and logical constraints.
Data processed here is piped into a persistent state of user interactions. This allows the AI to recall specific preferences and events from months ago, enabling "Promptless Autonomy."
How raw data is transmuted into structured knowledge.
Converts video bitstreams into semantic markdown. Analyzes audio transcripts and visual context simultaneously to extract tutorials and lectures.
Scrapes and standardizes DOM structures. Filters advertising boilerplate to isolate core information and data tables.
Processes raw text for logical fallacies and rhetorical patterns. Analyzes counterfactuals to understand *why* an event occurred.
Direct pipeline to the Orrin database for long-term storage, cross-referenced retrieval, and RAG (Retrieval-Augmented Generation).