Genesys gives your AI a causal memory graph — not a list of remembered facts, but a living network where every memory is a node, every relationship is a typed causal edge, and every retrieval can be explained. Ask why a memory surfaced and Genesys shows its relevance score, causal connectivity, and reactivation history. Trace how memories connect and follow full causal chains from decision to consequence.
Your memory graph is yours: it lives outside any single AI vendor, works identically with ChatGPT, Claude, and any MCP-compatible model, and travels with you when you switch. You control it directly — pin what matters permanently, inspect graph health at any time, and delete anything, anytime, with hard erasure.
Built on neuroscience-inspired scoring (relevance × causal connectivity × reactivation), Genesys forgets safely: only memories that are irrelevant, causally orphaned, and unpinned are ever pruned.