Vedic astrology (Jyotiṣa) encodes one of the largest continuously practiced interpretive knowledge systems in human history, yet its analytical procedures remain largely undigitized in a form suitable for open-ended natural-language interaction. We present the knowledge architecture underlying RetroGrade, a conversational platform that maps free-text life questions to structured Parāśarī analysis. The system decomposes the space of user intents into a taxonomy of approximately 14,000 probable questions spanning the principal domains of human concern — career, marriage and relationships, wealth, health, education, progeny, property, litigation, travel, spirituality, personality and event timing — and services them through a federation of 1,000 specialized agents. Each agent is grounded in the rule corpus of Bṛhat Parāśara Horā Śāstra (BPHS) and allied classical texts, and is scoped to a coherent analytical procedure that invokes the appropriate computational primitives: the sixteen divisional charts (ṣoḍaśavarga), the twenty-seven nakṣatras, planetary states (avasthā), multiple daśā systems, and the six-fold strength model (ṣaḍbala), including the motional strength (ceṣṭā-bala) from which retrograde planets derive their prominence and from which the platform takes its name. A two-stage semantic router maps each question to its agent(s) through dense-embedding retrieval over the taxonomy, and a grounded generation layer composes answers strictly from computed chart facts and retrieved rules under explicit guardrails. We describe the taxonomy, the agent-specification schema, the routing pipeline and the computational engine; we propose an evaluation protocol for routing accuracy and rule-faithfulness; and we position the contribution explicitly as an exercise in knowledge engineering and computational modeling of a classical tradition, rather than as a claim about the empirical predictive validity of astrology.
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