Every time you open ChatGPT or Claude, you start with a blank slate. You are forced to re-explain your company's product, your team structure, your active priorities, and the decision you made yesterday. This is the AI Context Tax.
Frontier LLMs have massive reasoning capabilities, but zero persistent working memory. They suffer from catastrophic amnesia across browser sessions, resulting in repetitive, superficial responses.
The Solution: Local Vector Memory
Maple pairs cutting-edge language models with a local, continuous vector index. Every window you focus on and every meeting you attend generates micro-embeddings stored in your local SQLite store.
Zero Copy-Pasting Required
When you ask Maple to draft a status update, it already knows which Jira tickets you closed on Tuesday, what customer feedback you reviewed on Wednesday, and what roadmap goals your team agreed on this morning.