Pending SSRN Review
cs.SE
OpenClaw
The first production fix for OpenClaw's broken memory.
Building Fault-Tolerant Memory for OpenClaw AI Agents: A Three-Layer Architecture for the SQLITE_CANTOPEN Regression in 2026.3.x
Adnan Tanveer (Addy) · Speedrun AI Labs, Sydney · March 16, 2026 · v1.1
OpenClaw's default memory system exhibits recurring reliability failures: SQLite crashes, dirty indexes, and complete persistence loss during active sessions. This paper presents a three-layer fault-tolerant architecture combining pre-compaction memory flushing, QMD-based local hybrid search, and Mem0 self-hosted on Qdrant, validated in a production deployment on a Mac Mini that eliminated all documented failure modes while maintaining zero cloud dependency for search.
Pending SSRN Review
cs.CR
NemoClaw
The first inside look at NVIDIA's NemoClaw. Published the day after GTC 2026.
Inside NemoClaw: An Architectural Analysis of NVIDIA's Enterprise Security Stack for Autonomous AI Agents
Adnan Tanveer (Addy) · Speedrun AI Labs, Sydney · March 17, 2026, one day after GTC 2026 · v1.0
NVIDIA NemoClaw, announced at GTC 2026 by Jensen Huang, is the first major vendor implementation of enterprise-grade security for OpenClaw autonomous AI agents. This paper presents the first detailed public decomposition of the NemoClaw and OpenShell security architecture across six layers: Landlock filesystem isolation, seccomp BPF syscall filtering, network namespace isolation, OPA/Rego policy enforcement, TLS inspection, and provider-agnostic inference routing, derived from direct inspection of both open-source codebases.