Run Production Agents With Memory Observability You Don't Have to Build
You can see your model calls in Datadog. You can see your tool calls in OpenTelemetry. Memory has been a black box. MemoryLake provides production-grade memory observability — metrics, traces, and access logs — out of the box.
Run Production Agents With Memory Observability You Don't Have to Build
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The problem: memory has been opaque in production agents
Your APM tool sees the model. It doesn't see the memory retrievals. When a memory bug surfaces, you have no telemetry on which entries returned, how they were ranked, or why. The memory layer is the last unobserved layer of production agent infrastructure.
How MemoryLake delivers memory observability
Per-retrieval metrics
Latency, hit rate, token output, retrieval count.
Distributed tracing integration
OpenTelemetry-compatible traces.
Access logs
Every read and write logged with provenance.
Memory health dashboards
Built-in views for memory growth, eviction, and hit rates.
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How it works for memory observability
- Connect — Authenticate your observability stack with MemoryLake.
- Structure — Metrics and traces flow automatically.
- Reuse — Dashboards and alerts on memory just like any other layer.
Before vs. after: production agent memory observability
| DIY memory | MemoryLake | |
|---|---|---|
| Memory latency telemetry | None | Per-retrieval |
| Memory access traces | None | OTel-compatible |
| Memory growth alerts | None | Built-in dashboards |
| Per-retrieval debugging | Hard | Memory provenance |
Who this is for
Engineering and SRE teams running production agents who need memory layer telemetry to match what they have on every other layer of the stack.
Related use cases
Frequently asked questions
OpenTelemetry support?
OpenTelemetry support?
Yes — native OTel exporter.
Datadog integration?
Datadog integration?
Yes — Datadog and major APMs supported.
Self-host?
Self-host?
Yes — enterprise tier deploys in your VPC.