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Using Jev and Oracle AI Database to govern agent memory

This story is from 2026-09-28. It is preserved in the archive; the latest stories are on the live feed.

Using System One models and Oracle AI Database to help agents choose relevant evidence and decide what to retain in long-term memory. The companion notebook runs every example in this article against Oracle AI Database 26ai and Jev: Oracle Jev Memory Key takeaways Agent memory needs decisions about…

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  1. 2026-09-28 12:21 · DEV Community — AI
    Using Jev and Oracle AI Database to govern agent memory

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  2. TensorSharp Jev requests can now combine documents, images, video, and audio — r/LocalLLM
  3. Jev vs. Kev: open-source Jev alternative tested side by side — r/LocalLLaMA
  4. How JEV works internally — r/learnmachinelearning
  5. New frontier AI models, TypeSafe’s Jev AI, & NASA’s IBM collab — Mixture of Experts (IBM)
  6. How long until OpenAI release their version of Jev? — r/AI_Agents
  7. Supersonic Labs Releases Julia 1: A 144.3M-Parameter Open Decision Model That Runs on a CPU — MarkTechPost
  8. Proper scoring rules as RL rewards: a breakdown of RLCD (the method behind TypeSafe's Jev)Standard RLVR gives +1 for a correct answer and 0 otherwise. A lucky guess and a confident correct answer get the same reward, so there's no pressure to be calibrated and the policy drifts toward overconfidence — r/reinforcementlearning

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