MemoryLake
Engineering & Developercodebase memory for engineering teams

Give Engineering Teams a Codebase Memory Every AI Tool Can Read

Architectural decisions die in old PR descriptions. Migration notes live in three Slack threads. New hires re-discover the same gotchas every quarter. MemoryLake gives engineering teams a codebase memory — structured, versioned, accessible to every AI coding tool — so institutional knowledge stops evaporating.

DAY 1 · WITHOUT MEMORYArchitectural decisions die in old PR descriptions.Got it, I'll remember.DAY 7 · NEW SESSIONSame task, please?Sure — what was the context again?(forgot every detail you taught it)WITH MEMORYLAKEMemory auto-loadedOne memory per repositoryRead by every AI tool via MCPGit-style versioningSESSION OUTPUTSame prompt, on-brand answerGet Started Free →

Give Engineering Teams a Codebase Memory Every AI Tool Can Read

Get Started Free

Free forever · No credit card required

The problem: engineering knowledge has nowhere durable to live

Confluence rots. Slack threads vanish into search hell. Code comments lie. The senior engineer who knew "why we don't do X here" left two quarters ago. AI coding tools end up suggesting exactly the patterns the team learned to avoid because nothing teaches them otherwise.

How MemoryLake solves codebase memory for engineering teams

One memory per repository — Architectural decisions, gotchas, deprecated patterns, and migration histories live in a single typed memory store.

Read by every AI tool via MCP — Cursor, Windsurf, Claude Code, and custom agents all see the same memory for the repo.

Git-style versioning — Memory branches with your code. Memory of a feature lives on the feature branch and merges with the PR.

Skill memory captures "the way we ship" — Code review checklists, deployment procedures, on-call playbooks — all callable from any AI tool.

DAY 1 · WITHOUT MEMORYArchitectural decisions die in old PR descriptions.Got it, I'll remember.DAY 7 · NEW SESSIONSame task, please?Sure — what was the context again?(forgot every detail you taught it)WITH MEMORYLAKEMemory auto-loadedOne memory per repositoryRead by every AI tool via MCPGit-style versioningSESSION OUTPUTSame prompt, on-brand answerGet Started Free →

Give Engineering Teams a Codebase Memory Every AI Tool Can Read

Get Started Free

Free forever · No credit card required

How it works for engineering teams

  1. Connect — Wire MemoryLake into your repo via MCP or post-commit hooks.
  2. Structure — Decisions, conventions, and learnings get classified into Fact, Reflection, and Skill memory.
  3. Reuse — Every AI tool — and every new dev — queries the same memory on day one.

Before vs. after: engineering team codebase memory

Without MemoryLakeWith MemoryLake
New hire onboardingTwo weeks of "ask around"Day-one access to team memory
AI suggests deprecated patternYes, repeatedlyNo — memory blocks it
Architectural decision from last yearLost in old PRsVersioned and retrievable
On-call runbookConfluence page, often staleSkill memory, always current

Who this is for

Engineering leads and platform teams in growing companies — typically 10–200 engineers — where institutional knowledge is starting to fragment faster than people can absorb it.

Related use cases

Engineering & DeveloperStateful Memory for Cursor & WindsurfCursor and Windsurf forget your project conventions every new chat. MemoryLake adds stateful memory so AI coding tools remember your stack, rules, and decisions. Free to get started.
Engineering & DeveloperMemory for AI Pair ProgrammingAI pair programmers re-learn your style every session. MemoryLake gives AI pair programming tools a memory of your habits, decisions, and preferences. Free to get started.
Engineering & DeveloperMemory for Claude Code CLIClaude Code forgets your project setup every new session. MemoryLake adds shared, persistent memory through MCP so Claude Code remembers across teams. Free to get started.
Engineering & DeveloperPersistent Memory for AI Coding AgentsAI coding agents lose every refactor decision the moment the session ends. MemoryLake gives coding agents persistent memory across every session and tool. Free to get started.

Frequently asked questions

Does MemoryLake read our code?

Only what you choose to ingest. End-to-end encrypted; MemoryLake staff cannot read repo contents.

How does this differ from a doc site like Notion or Confluence?

Docs are written, then go stale. MemoryLake is written by AI tools as decisions get made, with versioning and provenance.

Can we self-host?

Yes — enterprise deployment in your VPC is available with the same encryption guarantees.

All use casesGet Started Free