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.
How to use
- 1Add it in ChatGPT
Open Genesys in ChatGPT's Plugin directory (button above), select + to add it and sign in if asked.
- 2Use it in a chat
Type @ in the composer and pick Genesys, or start your message with its name. ChatGPT may also suggest it when it fits what you ask.
Things to ask
- “Remember that I chose Postgres over MongoDB because our data is heavily relational”
- “Show me my core memories and explain why each one matters”
- “What do you remember about my current projects, and how are those memories connected?”