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Everyone is keeping quiet about this for now, but it's something everyone will be using soon Claude + Jev = Second Brain Diogo Almeida, who developed the Jev system, shared a simple thought "The point of Jev isn't to make the model smarter in a conversational sense, but to make it completely deterministic at decision points. If you have a choice of N actions, the system should yield an exact choice without hallucinations or wasted tokens" Action Plan: Jev decides what to keep, code enforces the established rules, and the language model is left strictly with writing the final note or answer At every input, Jev instantly determines its fate: save, set as a todo, skip, or flag for review, while evaluating privacy and its usefulness 30 days out Filter only allows data through if it crosses the threshold for value and confidence, keeping all private details strictly local on your device Instructs the model to generate a concise note of 5 to 12 lines focused on a single claim, prohibiting it from rewriting the core body to avoid lossy compaction Compares the new note against its neighbors, detecting duplicates, relationships, or contradictions, and automatically sets bidirectional links for highly relevant notes Pulls 10 to 20 candidates via BM25 or embeddings, then selects no more than 5 of the most precise notes to feed into the context window Runs a nightly cleanup by proposing duplicate merges, flagging outdated entries, and pinpointing conflicts, leaving the final call to you Integrates without building from scratch, running on your Obsidian vault, plugging into Claude Code, or acting as a ready-made memory framework Delivers decisions with 98.5% accuracy in just 0.30s, outperforming major frontier models and building memory 6.6x faster Your agent isn't forgetting because the model is weak; it forgets because nothing was deciding what was worth keeping in the first place Detailed instructions can be found in the article below

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