Supermemory

Supermemory is a memory API and context infrastructure platform for AI agents, helping developers add persistent recall, user context, memory retrieval, connectors, MCP, plugins, RAG, and memory graph workflows. It is built for teams that want long-term context without rebuilding memory infrastructure from scratch. For FutureStack users, Supermemory is valuable because agent memory is becoming a core product layer for copilots, assistants, second-brain apps, and personalized AI products. Developers can use it when an AI system needs to remember user preferences, prior documents, connected sources, or long-running task context. The platform supports developer APIs, TypeScript and Python SDKs, connectors, MCP, plugins, managed or self-hosted deployment, dedicated infrastructure, air-gapped options, compliance controls, RAG, memory graph workflows, personal apps, and enterprise deployment options. Supermemory can save engineering time compared with building memory infrastructure manually, but teams still need thoughtful privacy, permissions, deletion, retrieval quality, and user-control design. It is strongest when memory is a product feature, not just a temporary chat history.