MemoryLake
Engineering & Developerstop hand-rolling agent state in Postgres

Stop Hand-Rolling Agent State Tables in Postgres

Every team building production agents reaches the same crossroads: bespoke Postgres tables for user state, conversation history, learned facts, agent decisions. Six months later, the schema is fragile, the migrations are scary, and nobody owns the code. MemoryLake gives agent state in one SDK call.

Day 1“Six months later, the schema is fragile, the migrations are”“scary, and nobody owns the code.”✓ 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-loadedTyped memory out of the boxOne SDK callBuilt-in conflict resolutionSESSION OUTPUT✓ Same prompt, on-brand answerNo re-briefing required.

Stop Hand-Rolling Agent State Tables in Postgres

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The problem: hand-rolled agent state becomes a maintenance burden

You started with a users table and a conversations table. Then you added facts, decisions, reflections. Each ad-hoc schema decision compounds. Migrations get scarier. The dedupe logic lives in Python. The retrieval logic lives in three places. Owning that infrastructure is a real cost most teams underestimate.

How MemoryLake replaces hand-rolled state

Typed memory out of the box

Typed memory out of the box

Background, Fact, Event, Conversation, Reflection, Skill.

MEMORYOne SDK call

One SDK call

Replace 4-6 custom tables with one client.

MEMORYBuilt-in conflict resolution

Built-in conflict resolution

No DIY dedupe code.

Versioning and audit trail

Versioning and audit trail

Roll back bad ingests; audit every change.

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Free forever · No credit card required

How it works as a Postgres state replacement

  1. Connect — Drop the SDK into your existing app.
  2. Structure — Migrate prior state through the import API.
  3. Reuse — Replace db.query() with memorylake.retrieve() patterns.

Before vs. after: DIY Postgres vs MemoryLake

Hand-rolled PostgresMemoryLake
Tables to maintain4-6None
Migration riskRealVendor-managed
Conflict resolutionDIYBuilt in
VersioningNoneGit-style

Who this is for

Engineering teams running agent apps on hand-rolled Postgres state who realize the supporting infra has become bigger than the agent itself.

Related use cases

Engineering & DeveloperMemory API for LLM DevelopersStop rebuilding memory plumbing for every LLM app. MemoryLake's memory API gives developers persistent, versioned, cross-model context in a single SDK call. Free to get started.
Engineering & DeveloperThe Hidden Cost of Building Agent Memory YourselfDIY agent memory looks cheap until you count the engineering time. MemoryLake replaces months of plumbing with one SDK. Free to get started.

Frequently asked questions

Do I drop Postgres entirely?

No. Use Postgres for what it's great at — transactional business data. Use MemoryLake for agent memory.

Migration cost?

Usually a few days for typical apps.

Self-host?

Yes — enterprise tier deploys in your VPC.

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