Memory Sidecar 3.5.1 Focuses on Stability, Security, and Observability

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Memory Sidecar, a backend component used for agent-agnostic memory in AI production workflows, has released version 3.5.1 with a focus on operational reliability rather than new features. The update introduces a circuit breaker with exponential backoff and jitter to handle unresponsive storage backends such as Redis or SQL systems, preventing cascading failures under load. An optional LRU in-memory cache with per-session namespacing has been added to speed up read operations, reducing repeated lookup latency from milliseconds to microseconds. Observability improvements include structured logs with trace IDs, Prometheus metrics at a dedicated endpoint, and health-check endpoints reflecting backend and cache status. Security has also been tightened, with TLS enforced by default on all gRPC connections and API key authentication now mandatory, meaning deployments without a configured key will fail to start.

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