MemoryLake

MemoryLake is a persistent, cross-model memory service that gives users a single "memory passport" that travels with them across ChatGPT, Claude, Gemini, Qwen, OpenClaw, AutoGPT, Manus, Perplexity, and any API-connected agent. Built around end-to-end encryption and a triple-party key architecture, the platform is designed so that even MemoryLake itself cannot read a user's stored memories. The service is available as a web app with a free tier and premium plans.

What It Is

MemoryLake sits between a user and every AI they interact with, acting as a shared long-term memory store that any connected model can query. Rather than each AI maintaining its own siloed context window, MemoryLake centralizes memory into six typed layers — Background, Fact, Event, Dialogue, Reflection, and Skill — and makes them available across sessions and across different AI providers. The core design principle is user ownership: users can export everything, control which AI sees what, and permanently delete all data.

Memory Architecture and Types

MemoryLake organizes stored knowledge into distinct memory types, each serving a different purpose:

• Background Memory — static values and world model, manually set, read-only
• Fact Memory — verifiable facts with conflict checking, versioning, and source tracing
• Event Memory — timestamped timeline of what happened and when
• Dialogue Memory — compressed, searchable record of every conversation
• Reflection Memory — deep behavioral patterns the AI has identified
• Skill Memory — reusable methods built once and available across any AI or session

Git-Style Versioning and Conflict Resolution

A distinctive feature is Git-like versioning applied to memory. Every change produces a commit with a full diff, branch, and rollback capability. When memories from different sources or timeframes contradict each other — for example, one AI session recording a preference for dark mode while another records light mode — MemoryLake's conflict engine detects the contradiction in real time, applies a configurable resolution strategy (recency-based, source-priority, confidence-weighted, or manual), and preserves the full audit trail. The platform also provides cryptographic integrity verification and compliance-ready provenance chains.

Security and Ownership Model

MemoryLake's security page states the platform uses triple-party encryption, meaning no single party — including MemoryLake — holds all decryption keys. The service claims ISO 27001, SOC 2 Type II, GDPR, and CCPA compliance, with AES-256 encryption and end-to-end encryption throughout. Users retain three explicit rights: export everything at any time, control per-AI visibility at the architecture level (not just a settings toggle), and permanently delete all data with no copies retained.

Data Integration and Open Data

The platform connects to 20+ data source types via its MemoryLake-D1 VLM engine, covering multimodal files (text, documents, images, video, audio), enterprise databases (MySQL, PostgreSQL, Delta Lake, Hudi, Iceberg), REST API and MCP protocols, and online document suites (Office365, Google Workspace, Dropbox, Lark, DingTalk). MemoryLake also bundles access to large open datasets without additional setup, including 40M+ academic papers (PubMed, arXiv, bioRxiv), 3M+ SEC filings, 500K+ clinical trials, real-time financial feeds, 2M+ drug database compounds, 10M+ US patents, and global economic data.

Benchmark Performance

MemoryLake publishes benchmark results on the LoCoMo (Long-term Conversational Memory) dataset, a rigorous evaluation covering ~300-turn conversations across up to 35 sessions. According to the company's published benchmark repository, MemoryLake scored 94.03% overall F1, ranking first among evaluated systems including Zep (85.22%), MemOS (80.76%), and Mem0 (64.20%). The company attributes particular strength in temporal reasoning (91.28%) and open-domain questions (85.42%), and claims the system outperforms a full-context (no-compression) baseline while using fewer tokens.