Core Concepts
How Supermemory thinks โ graph memory, content types, filtering, and the difference between memory and traditional RAG.
Explore concepts
Operating procedures, integration recipes, and complete API reference โ mirrored from the official Supermemory documentation.
This is a comprehensive standard-operating-procedures companion to the Supermemory platform. Every section is mirrored locally so it can be searched, browsed, and queried even offline โ and the AI assistant (bottom-right corner) is wired into a vector store of all 121 documentation pages.
Where to start
| Section | Pages | What's covered |
|---|---|---|
| Getting Started | 7 | Intro, quickstart, overview, authentication, vibe coding, changelog, add-memories |
| Concepts | 8 | How it works, memory vs RAG, graph memory, super RAG, content types, filtering, customization, user profiles |
| Memory API | 5 | Memory operations, document operations, search, user profiles |
| MemoryBench | 11 | The open benchmark โ installation, CLI, architecture, providers, integrations, MemScore, GitHub |
| Connectors | 9 | Google Drive, Notion, OneDrive, Slack, manual mode, overview |
| Integrations | 22 | AI SDK, LangChain, Mastra, OpenAI, Vercel AI, CrewAI, Pipecat, Letta, and more |
| SMFS | 10 | Supermemory File System โ pricing, security, supported models, write to memory |
| MCP | 3 | Personal MCP, MCP clients, hosted MCP |
| Migration | 3 | From Mem0, Letta, Zep |
| Cookbook | 7 | Real-world recipes โ Discord, FastAPI, Lovable, more |
| API Reference | 36 | Documents, connections, memories, search, management |