Memory Sidecar v3.5.1 Delivers Reliability and Security Fixes for Distributed AI Agents
Memory Sidecar v3.5.1 has been released as a dedicated operational hardening update, focusing exclusively on reliability, security, and performance improvements for production deployments. The release introduces a revamped write-ahead log with checksums and monotonic sequence numbers to eliminate silent data corruption during concurrent agent writes. A new sharded lock manager replaces coarse-grained locking, reducing tail latency by 35% under stress tests with 50 concurrent agents compared to v3.4.x. Security has been strengthened by making TLS 1.3 mandatory for all client connections and adding at-rest encryption for memory snapshots using AES-256-GCM. Internally, the serialization layer has shifted from JSON to MessagePack, cutting payload size by roughly 50% and contributing to a 40% reduction in p99 read latency on typical agent workloads.
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