Multi-Day Recall
Ask: "What were the three objections our client raised during Tuesday's product sync?" Maple retrieves exact quotes from your meeting transcripts and synced docs without manual note-taking.
Human work isn't a collection of isolated prompts—it is an evolving timeline of calls, documents, code commits, and architectural trade-offs. Maple is an AI assistant with persistent memory that indexes your workspace locally, giving you an AI knowledge assistant that recalls past context on demand.
Indexed on your hardware · SQLite vector embeddings · Private & offline-ready
Standard chatbots restart at zero every time you close the tab. Here is why persistent memory changes how you work.
Ask: "What were the three objections our client raised during Tuesday's product sync?" Maple retrieves exact quotes from your meeting transcripts and synced docs without manual note-taking.
Maple connects decisions across disparate tools. A mention in Slack connects to a pull request in GitHub and a Figma specification reviewed yesterday.
You never need to start prompts with "Act as an expert in project X, which does Y...". Maple already knows the names, specs, and history of your active projects.
Engineered in native Rust with local vector embeddings stored in encrypted SQLite files on your SSD.
Maple captures meeting audio via loopback drivers, indexes selected local project directories, and observes active screen window titles locally.
Text is quantized and embedded on your hardware using Apple Neural Engine (macOS) or Tensor cores (Windows), never transmitted to a server for indexing.
Combining BM25 full-text indexing with vector similarity ensures instant recall for specific keywords, dates, names, and concepts.
Only the precise context chunk needed to answer your prompt is sent to the AI inference model, with zero data retention or training.
Memory is just one facet of Maple's unified desktop architecture.
Real-time understanding of what is actively visible on your screen. Learn about screen-aware AI →
Hardware-level sandboxing, local vector stores, and zero cloud data training. Explore privacy architecture →
Live audio capture for Zoom and Google Meet without third-party recording bots. Explore meeting intelligence →
Join our early access program for macOS and Windows.
Get early access