Supermemory is a commercial-grade AI memory and context engine that provides persistent long-term memory for AI agents. The repository implements the client-side integration SDKs, an MCP (Model Context Protocol) server, a memory graph visualization component, and supporting infrastructure. In production, it connects to an external cloud API (api.supermemory.ai) that handles document ingestion, semantic search, user profiles, and knowledge graph construction. The codebase is organized as a monorepo with distinct packages for TypeScript/Python SDKs covering multiple AI frameworks (Vercel AI SDK, OpenAI, Mastra, Claude, etc.), a Cloudflare Workers-based MCP server with OAuth and widget UI, a ship-grade memory-graph React component with force-directed canvas rendering, and a comprehensive validation schema package. The architecture demonstrates strong engineering practices: strict Zod validation, middleware injection patterns, caching and deduplication logic, and thorough testing across languages. Notable skill is evident in the memory-graph canvas engine (viewport, simulation, spatial indexing, version chain visualization) and the shared memory-context injection utilities. The main downside is significant logic duplication across four Python SDK packages and their TypeScript counterparts, which increases maintenance risk. The repo is actively developed with CI/CD pipelines publishing to npm and PyPI.