MemoryLake
Engineering & Developerstable memory across SDK upgrades for agents

Upgrade Your Agent SDK Without Breaking the Memory It Reads

SDK upgrades are supposed to be routine. With DIY memory, they're not — schema changes, API breaks, format drift all stall upgrades. MemoryLake provides stable memory contracts across SDK versions, so you upgrade without breaking memory.

Day 1“SDK upgrades are supposed to be routine.”✓ Got it, I will remember.Day 7 — new session“Same task again — can you keep the context?”× Sure — what was the context again?(forgot every detail you taught it)+ MEMORYLAKE LAYERMemory auto-loadedBackward-compatible SDK contractsForward-compatible memory formatVersioned APISESSION OUTPUT✓ Same prompt, on-brand answerNo re-briefing required.

Upgrade Your Agent SDK Without Breaking the Memory It Reads

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The problem: SDK upgrades break memory contracts

You want to upgrade from LangChain 0.1 to 0.2. The memory class changed. Your custom memory stops working. The upgrade stalls because retrofitting memory is more work than the upgrade itself.

How MemoryLake delivers SDK-stable memory

Backward-compatible SDK contracts

Backward-compatible SDK contracts

New SDK versions read prior memory cleanly.

MEMORYForward-compatible memor…

Forward-compatible memory format

Older SDK versions tolerate newer memory entries.

MEMORYVersioned API

Versioned API

Pin to a specific API version; upgrade on your schedule.

Audit trail per SDK upgrade

Audit trail per SDK upgrade

Track when memory access patterns changed.

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How it works for SDK-stable memory

  1. Connect — Pin to a specific MemoryLake API version.
  2. Structure — Memory entries written via any SDK version.
  3. Reuse — Reads work across SDK versions.

Before vs. after: SDK upgrade impact on memory

DIY memoryMemoryLake
SDK upgrade breaking memoryCommonEliminated
Pinned API versionsCustomBuilt in
Cross-version readsOften brokenStable
Upgrade audit trailManualBuilt in

Who this is for

Engineering teams running production agent apps on rapidly-evolving SDKs — LangChain, LangGraph, OpenAI SDK, Anthropic SDK — where SDK upgrades have been blocking velocity.

Related use cases

Engineering & DeveloperMemory Migration When Upgrading Agent FrameworksUpgrading from LangChain to LangGraph or CrewAI usually loses memory. MemoryLake makes memory framework-agnostic. Free to get started.
Engineering & DeveloperSchema Evolution for Versioned Agent MemoryAgent memory schemas evolve as features grow. MemoryLake handles schema evolution without breaking prior data. Free to get started.

Frequently asked questions

Deprecation policy?

Long deprecation windows; advance notice on breaking changes.

Cross-SDK testing?

Snapshot-based testing across SDK versions supported.

Self-host?

Yes — enterprise tier deploys in your VPC.

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