Show HN: SuperLocalMemory 4.0 "Governed Memory Operating System for AI Agents"

SuperLocalMemory 4.0, a governed local-first memory operating system for AI agents submitted to arXiv on 8 Aug 2026 by Varun Pratap Bhardwaj, reports that 10 of its mechanisms were implemented and reachable on a live call path but ineffective at their final connection, and withdraws the previous version's governed write-envelope overhead figure because the two differenced paths are not comparable. The paper's reliability spine — generation-fenced admission, verifiable memory transactions with per-projection apply, verify, compensate and erase owners, and hash-checkable completion manifests — upheld 2,199 of 2,200 scoped component properties across 11 fault-injection scenarios each repeated 200 times. Timing the envelope in place gives an 11.0 ms governed write of which the envelope is 70.6 percent, while the generation fence costs 1.9 microseconds and the obligation ledger 42 microseconds, leading the authors to conclude the cost is durability, not governance.

Computer Science Artificial Intelligence Submitted on 8 Aug 2026 v1 https://arxiv.org/abs/2608.08253v1 , last revised 25 Aug 2026 this version, v2 Title:SuperLocalMemory 4.0: The Governed Memory Operating System for AI Agents View PDF https://arxiv.org/pdf/2608.08253 HTML experimental https://arxiv.org/html/2608.08253v2 Abstract:We present SuperLocalMemory 4.0, a governed, local-first memory operating system for AI agents, unifying multi-channel retrieval under reciprocal-rank fusion, bi-temporal recall, multi-scope isolation, role-based access, verified erasure, and a hash-chained audit trail. A reliability spine governs the primary write path: generation-fenced admission, verifiable memory transactions with per-projection apply, verify, compensate and erase owners, and hash-checkable completion manifests. Eleven fault-injection scenarios, each repeated 200 times, upheld 2,199 of 2,200 scoped component properties. This version leads with a negative result. Ten mechanisms here were implemented, reachable on a live call path, and ineffective at their final connection. Implemented, reachable and effective are three different questions, and the third requires an oracle independent of the mechanism under test. We contribute two mechanical invariants that supply one: a prior-distance assertion over Bayesian learners, and a join-liveness assertion over schema-guarded paths that reports where a guard's missing data resides. A three-arm ablation varying only the recall session-identifier namespace moves no posterior with the defect present and every instantiated arm with it absent, while a negative control that writes every ticket but supplies no engagement settles nothing. We withdraw the previous version's governed write-envelope overhead figure: the two paths it differenced are not comparable. Timing the envelope in place gives an 11.0 ms governed write of which the envelope is 70.6 percent, but the generation fence costs 1.9 microseconds and the obligation ledger 42 microseconds. The cost is durability, not governance. Submission history From: Varun Pratap Bhardwaj view email https://arxiv.org/show-email/fa78d13e/2608.08253 Sat, 8 Aug 2026 17:26:58 UTC 53 KB \ v1\ https://arxiv.org/abs/2608.08253v1 v2 Tue, 25 Aug 2026 05:47:19 UTC 83 KB References & Citations Loading... Bibliographic and Citation Tools Bibliographic Explorer What is the Explorer? https://info.arxiv.org/labs/showcase.html arxiv-bibliographic-explorer Connected Papers What is Connected Papers? https://www.connectedpapers.com/about Litmaps What is Litmaps? https://www.litmaps.co/ scite Smart Citations What are Smart Citations? https://www.scite.ai/ Code, Data and Media Associated with this Article alphaXiv What is alphaXiv? https://alphaxiv.org/ CatalyzeX Code Finder for Papers What is CatalyzeX? https://www.catalyzex.com DagsHub What is DagsHub? https://dagshub.com/ Gotit.pub What is GotitPub? http://gotit.pub/faq Hugging Face What is Huggingface? https://huggingface.co/huggingface ScienceCast What is ScienceCast? https://sciencecast.org/welcome Demos Recommenders and Search Tools Influence Flower What are Influence Flowers? https://influencemap.cmlab.dev/ CORE Recommender What is CORE? https://core.ac.uk/services/recommender arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs https://info.arxiv.org/labs/index.html .