Memory Sidecar v3.5.1 is a targeted operational hardening release for the public agent-agnostic memory system. Designed to decouple memory state from individual agents, the sidecar provides a unified storage layer accessible by multiple agents concurrently. In production, this architecture demands resilience against failures, network partitions, and high concurrency. This release addresses those demands with improvements in connection management, fault tolerance, and observability.
Why Hardening Matters
Agent-agnostic memory is powerful but introduces single points of failure. A backend outage can block all agents, halting workflows. While previous releases handled basic errors, v3.5.1 introduces patterns like connection pooling, exponential backoff retries, and circuit breakers to ensure graceful degradation. These changes are opt-in, preserving backward compatibility while allowing teams to scale reliability incrementally.
Key Hardening Features
Connection Pooling
The sidecar now maintains persistent connection pools per backend type. For Redis, the default pool size is 10, but can scale to 100 without overhead. Idle timeout
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