supermemory is an open-source AI tool for memory infrastructure for AI applications. Memory engine and app that is extremely fast, scalable. The Memory API for the AI era. The repository showed 23464 GitHub stars and 2112 forks during this review, with TypeScript as the primary implementation language and the latest repository push recorded around 2026-06-01.
The product matters for builders because it exposes a practical layer of the AI stack rather than a vague demo. Teams can inspect the repository, review the README, and test the workflow before deciding whether it belongs in a production process. That source-visible approach is useful when a tool touches memory, generation, automation, or model-connected work where reliability and data flow need review.
Use supermemory when you want a concrete implementation to evaluate, not just a marketing page. The best first step is to clone or inspect the official repository, read setup notes, and run the smallest supported example with non-sensitive data. Teams should compare the supported model providers, storage assumptions, runtime requirements, and security boundaries against their own environment before adopting it broadly.
Pricing for the listed project is best treated as open-source software: the public code can be inspected from GitHub, while real operating cost depends on hosting, model APIs, storage, and any external services connected to the workflow. That distinction matters because an open repository can still create cloud bills if it is wired into paid LLM calls or production infrastructure.
The strongest fit is technical users who can read the docs, test edge cases, and decide whether the tradeoff is worth it. Solo builders can use it to move faster, AI engineers can borrow architecture patterns, and platform teams can evaluate whether the project fills a repeatable workflow gap. If the README or recent issues reveal missing features, keep it in a sandbox until the limits are acceptable.
Source note reviewed from the official README: State-of-the-art memory and context engine for AI. And yes - you can use it as a company/personal brain.
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Supermemory is the memory and context layer for AI. **#1 on [LongMemEval](https://github.com/xiaowu0162/LongMemEval), [LoCoMo](https://github.com/snap-research/locomo), and [ConvoMem](https://github.com/Salesforce/ConvoMem)** — the three major benchmarks for AI memory.
We are a research lab building the engine, plugins and tools around it.
Your AI forgets everything between conversations. Supermemory fixes that.
It automatically learns from conversations, extracts facts, builds user profiles, handles knowledge updates and contradictions, forgets expired information, and delivers the right context at the right time. Full RAG, connectors, file processing — the entire co