MemoryLake — AI Memory That Follows You

MemoryLake acts as a persistent contextual storage layer for power users who frequently switch between different AI models and want to maintain a consistent thread of information across all of them. Instead of starting from scratch every time you open a new chat window or move from Claude to ChatGPT, this tool serves as a bridge that carries your personal data, preferences, and project history from one session to the next. It functions by organizing interactions into distinct categories such as background knowledge, event timelines, and conversation archives, ensuring that any connected agent has immediate access to your specific context. The platform stands out by decoupling data from the AI providers themselves, giving users a private repository that remains independent rather than being siloed within a single ecosystem. It handles multimodal inputs including PDFs, spreadsheets, and audio, converting them into searchable entities that agents can query via API. For developers and researchers who juggle various specialized agents, it eliminates the need to repeatedly re-upload documents or re-explain complex project backgrounds. While long-term memory is becoming a standard feature within individual LLMs, MemoryLake focuses on portability and encryption, positioning itself as a universal user profile that remains stable regardless of which model is being used.