The memory lake for every AI.
Multimodal memory — conversations, documents, spreadsheets, audio, video. Productivity intelligence for individuals and enterprises.
Free forever · Private · Encrypted · Portable
01 / What makes MemoryLake different
What can MemoryLake do that your AI can't?
14 things, side by side.
MemoryLake keeps typed, versioned memory instead of a chat log — that is what makes these 14 answers possible. Tap any question: both AIs see the same one.
Seeing something that changes how you think about AI?
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02 / What lives in your passport
What kinds of memory does it store?
Six, and all of them yours.
Background, fact, event, dialogue, reflection and skill — six typed memories, stored separately so retrieval targets the right kind instead of searching one flat blob.
Background Memory
The things that never change — your values, your world model, manually set by you. Read-only.
Fact Memory
Everything verifiable — checked for conflicts, versioned, traceable to its source.
Event Memory
Your timeline — what happened, when, in sequence. Builds your life narrative.
Dialogue Memory
Every conversation, compressed and searchable. Nothing ever lost.
Reflection Memory
Deep patterns your AI noticed. How you think, how you decide.
Skill Memory
Methods you built once — reused forever, across any AI, any session.
03 / Performance
What does memory actually buy you?
A 10,000× larger working set, 99.8% recall accuracy, 91% fewer tokens and 97% lower latency — what that looks like in production.
Data Scale Amplification
Support 10,000x more data compared to direct LLM file reading
Memory Recall
Production-tested on 100M+ complex mixed documents
Token Cost Reduction
Compared to direct LLM file reading, with millisecond latency
Latency Reduction
Compared to direct LLM file reading
How does MemoryLake score on LoCoMo?
94.03% overall — the highest score in this evaluation. LoCoMo is the long-conversation memory benchmark introduced by Maharana et al. (2024): multi-session dialogues with temporally distributed Q&A. The chart breaks the score down by single-hop, multi-hop, temporal and open-domain recall, and it is cross-session integration that separates the systems.
Read moreRead the LoCoMo paper (arXiv)05 / Your data. Your rules.
Can we read your memory?
No. We architecturally cannot.
Everything belongs to you.
Security is the origin of our design, not a layer on top: you own the memory, you decide who sees what, and you can delete all of it.
Your three rights
You own your memory.
Export everything, anytime. One click. No questions asked.
You control who sees what.
Each AI sees only what you explicitly allow. Not a setting. Not a promise. Architecture.
You can delete everything.
Permanent. Irreversible. We keep no copies. No backups. Gone.
If your security team asks:
Certificate numbers and audit reports are available on request — ask your account contact.
06 / Open Data
What public data is built in?
Seven public corpora are indexed and queryable out of the box — papers, filings, trials, markets, compounds, patents and economic series. No ETL, no API keys, no setup.
Financial Data
Real-time stocks, crypto, forex
07 / Conflict Detection
What happens when two memories contradict each other?
MemoryLake catches the contradiction the moment the memory is ingested, resolves it by a strategy you choose, and keeps both versions in the audit trail.
"User prefers dark mode UI"
Updated 2 hours ago
"User prefers light mode UI"
Updated 5 hours ago
Most recent source wins. Previous value preserved in version history with full provenance chain.
Real-Time Detection
Conflicts are identified the moment new memories are ingested, before they can propagate through your system.
Smart Resolution Strategies
Choose from recency-based, source-priority, confidence-weighted, or manual resolution — or define your own rules.
Full Audit Trail
Every conflict, every resolution, every version change is permanently recorded with timestamps and source attribution.
Cross-Source Validation
Automatically cross-references memories across multiple AI sessions and data sources to ensure consistency.
08 / Memory Provenance
Where did this memory come from?
Every memory carries its source, creation time, transformation history and access log — a provenance chain you can export for an audit.
a3f8c2d09:14 AMPDF UploadDocument ingested: Q4_Financial_Report.pdf
Extracted 47 facts, 12 entities, 3 temporal events
b1e9f4a09:14 AMLakeBuilderMemory graph updated with 47 new nodes
Vector embeddings generated, graph connections established
c7d2a1b09:15 AMConflict EngineRevenue figure conflict detected with Q3 projection
Q3 projected $4.2M vs Q4 actual $3.8M — flagged for review
d4f6e3c09:15 AMAuto-ResolverConflict resolved: Q4 actual supersedes Q3 projection
Resolution policy: actual > projection. Version v3 → v4
e2a8b5d09:16 AMQueryAgentMemory served to Claude session #8842
Context: "What was our Q4 revenue?" — 23ms latency
Git-like Versioning
- Full commit history for every memory change
- Branch and merge memory timelines
- Roll back to any previous state
- Diff view between memory versions
- Immutable audit log
Source Attribution
- Trace any fact to its original source
- Cross-reference across AI sessions
- Cryptographic integrity verification
- Compliance-ready provenance chain
- Export full audit reports
09 / Features
What makes it enterprise-grade?
Git-like versioning, conflict detection, distributed processing, the MemoryLake-D1 parsing engine and RL-based analysis — under ISO 27001, SOC 2, GDPR and CCPA with end-to-end encryption.
Git-like Memory Versioning
Track every change with branches, commits, and time travel capabilities.
Conflict Detection
Detect logical conflicts, implicit knowledge contradictions, and hallucination conflicts.
Distributed Computing
Scale memory operations across clusters with Python SDK.
MemoryLake-D1 Engine
Visual + logical dual validation for parsing complex Excel, PDF layouts.
RL-Based Analysis
Reinforcement learning for automatic data understanding and insight generation.
Enterprise Security
ISO27001, SOC2, GDPR, CCPA certified with full audit trails.
10 / Data Sources
What can MemoryLake ingest?
Documents, spreadsheets, images, audio and video, plus enterprise systems, APIs and online docs — 20+ integrations, parsed by our own MemoryLake-D1 vision-language model.
Multimodal Files
Enterprise Data
APIs & Protocols
Online Documents
11 / Scale
How much does it handle today?
1.5M+ users and 15,000+ enterprises, 130M+ memory requests, 10M+ files processed and 50M+ memory code runs.
12 / Integrations
Where can you use it?
In the tools you already have. Install a plugin and your agent syncs itself, pick a platform that ships memory built in, put an agent in your team's chat, or call the protocol yourself — one memory tree, four ways in.
Plugin
Coding agents
Install once. The agent recalls what it needs before it reads and writes memory back when something changes — you never have to ask it to.
Built in
Agent platforms
Memory is already wired into the platform. Connect an API key and every agent you run there inherits it.
Team chat
Where your team already talks
Add an agent to a direct message or a group channel. The thread itself becomes memory your other tools can read.
Protocol
Call it yourself
MCP for on-demand lookups from any client, the CLI for terminals and CI, REST for your own code.
Every route reads and writes the same memory. Change tools, keep the context.
See every integrationReady for one memory
across every AI?
Yours forever.
One Memory Passport carries your memory across every AI you use — encrypted, portable, and yours to keep.
Start free. Keep what matters.
Upgrade when you're ready.
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