Run High-Volume Agent Workloads on Memory Architecture Built for Scale
DIY agent memory works at thousands of users. It breaks at millions. MemoryLake's memory architecture handles high-volume agent workloads — sharded storage, low-latency reads, conflict-free concurrent writes, and cost-efficient retention.
Run High-Volume Agent Workloads on Memory Architecture Built for Scale
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The problem: agent memory architectures don't scale linearly
You shipped to 10,000 users on Postgres + Redis. Memory worked. You hit 100,000 users and writes started lagging. At 1M users, retrievals time out. The architecture that worked for the prototype falls over at scale, and rewriting is a quarter of engineering time.
How MemoryLake's architecture supports high-volume agents
Sharded storage at scale
Tenants distributed across shards transparently.
Low-latency reads
Single-digit milliseconds maintained at millions of users.
Concurrent write handling
Conflict-free merging without locks.
Tiered retention for cost efficiency
Hot, warm, cold tiers.
Tested on 100M+ document workloads
Production-validated at scale.
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How it works for high-volume agent memory
- Connect — Architecture handles scale transparently.
- Structure — Tenants and namespaces shard automatically.
- Reuse — Reads and writes serve at scale without engineering intervention.
Before vs. after: high-volume agent memory architecture
| DIY memory | MemoryLake | |
|---|---|---|
| Scale ceiling | Hits limits | Production at 100M+ docs |
| Sharding effort | Custom | Built in |
| Concurrent write capacity | Bottlenecked | Per-namespace concurrent |
| Cost efficiency at scale | Custom tiering | Native tiered retention |
Who this is for
Engineering leaders at agent SaaS or AI platforms approaching scale where memory architecture is becoming the bottleneck — and where rewriting is a known multi-quarter cost.
Related use cases
Frequently asked questions
Practical scale ceiling?
Practical scale ceiling?
Tested at 100M+ documents per workspace.
SLA on read latency at scale?
SLA on read latency at scale?
Single-digit milliseconds p95 typical.
Self-host?
Self-host?
Yes — enterprise tier deploys in your VPC.