
A lightweight Python engine for agentic memory and evidence-preserving RAG. It uses dual-cipher graph traversal, structural routing, action classification, and learned relationships to support agent memory and tool interactions.
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Ranked by how closely each one matches Habitus AI's job. Prices show each provider's Pro state; entry prices are labelled as such. Unpriced products still belong to the market.
Market = the products most similar to this one by capability; prices are median / quartiles over its priced members, separated by provider type and buyer tier.