AI RESEARCH
Eywa: Provenance-Grounded Long-Term Memory for AI Agents
arXiv CS.CL
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ArXi:2605.30771v1 Announce Type: new AI agents that persist across sessions need memory they can retrieve, audit, update, and erase. Existing memory systems often collapse source evidence, extracted facts, retrieved context, and answer policy into one opaque prompt path, making failures difficult to diagnose: a wrong answer may come from missing evidence, uned extraction, stale state, retrieval loss, or answer-model behavior. We present Eywa, a provenance-grounded memory architecture built around evidence before belief.