Months of Project Context, Retained Across Every AI Session
Long-term projects don't fit in a context window. Over months or years of AI-assisted work, you accumulate decisions, documents, evolving requirements, and hard-won institutional knowledge — all of which resets to zero when a session closes. MemoryLake gives long-running projects a persistent memory layer that grows with the project, so your AI gets more useful over time, not less.
Months of Project Context, Retained Across Every AI Session
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The Memory Problem
Month three of a year-long project. Your AI has been useful — but only within sessions. Every time you open a new conversation, you spend fifteen minutes reconstructing context: what's been decided, what's been ruled out, what the current constraints are, and why. The project has a history your AI should know. Instead, it only knows what you tell it today.
What MemoryLake Does Differently
A full project history that accumulates — Conversation Memory stores every AI-assisted session permanently. Month three can build on everything from months one and two. Your AI's understanding of the project grows with the project — at 10,000x the scale of a standard context window.
Versioned decisions that show how thinking evolved — Fact Memory tracks your project decisions with full version history and conflict detection. You can see not just what the current position is, but when it changed and what replaced it. Git-like versioning makes it possible to trace the evolution of any decision from the first draft to today.
Stable parameters that don't need repeating — Background Memory stores the fixed facts of the project — your objectives, constraints, team structure, and non-negotiables — as read-only context that loads automatically in every session. You never re-explain the basics again.
Months of Project Context, Retained Across Every AI Session
Get Started FreeFree forever · No credit card required
How It Works
- Connect — Integrate MemoryLake with your AI platform via MCP or REST API. Import existing project documents from Google Workspace, Dropbox, or your document storage using native integrations.
- Structure — Stable project parameters go into Background Memory. Evolving decisions go into versioned Fact Memory. Project milestones go into Event Memory with timestamps. Every AI session record goes into Conversation Memory automatically.
- Reuse — Every new session opens with the full project history loaded. Your AI knows where the project started, how it's evolved, and where it stands today — without you explaining any of it.
Before & After
| Without MemoryLake | With MemoryLake | |
|---|---|---|
| Opening a session after two weeks away | Re-explain current project status, constraints, and recent decisions | AI loads full context from Background, Event, and Conversation Memory automatically |
| Tracing a past decision | Search email threads, meeting notes, and Slack messages manually | Query versioned Fact Memory for the full history of how that decision evolved |
| Introducing a new contributor | Write a briefing document covering months of history | New contributor queries project memory directly for the full record |
| Handling a scope reversal | Uncertain what was decided before and why | Fact Memory shows the prior position, when it changed, and what replaced it |
Built For
Anyone managing a project that spans months or years with regular AI assistance — strategy consultants, product teams, research leads, program managers, and independent professionals running long client engagements. MemoryLake is particularly valuable when the project involves many decision reversals, a growing team, or a need to produce audit-ready documentation of how decisions were made.
Related use cases
Frequently asked questions
How much history can MemoryLake retain?
How much history can MemoryLake retain?
MemoryLake operates at 10,000x the scale of a standard AI context window. There is no practical limit on how much project history you can accumulate. Retrieval uses millisecond-latency search ranked #1 on the LoCoMo benchmark, so finding relevant memory from months ago is as fast as finding memory from yesterday.
Can I export the project memory at the end of an engagement?
Can I export the project memory at the end of an engagement?
Yes. Your memory is yours. MemoryLake supports full export of your stored memories, giving you a portable archive of the project's full history at close.
What happens if a key decision needs to be reversed?
What happens if a key decision needs to be reversed?
Fact Memory uses conflict detection — when a new decision contradicts an existing one, MemoryLake flags the conflict. You can update the record explicitly, and the version history preserves both the prior position and the new one, with timestamps.