The universal memory API for the AI era
Stop building retrieval from scratch. Personalise LLMs for your users. Built for developers who ship.
Trusted by Open Source, enterprise, and more than 35,000 of you
Context is everything
Without it, even the smartest AI is just an expensive chatbot
$ init vector_database
$ choose embedding_model
$ setup connection_sync
$ calculate scaling_costs
$ handle format_parsing
$ init multimodal_support
New retrieval strategy just dropped:
Hierarchical Enhanced Retrievers with Dynamic Adjustable Query Expansion
(HERDAQE)
$ compare retrieval_methods
Just use Supermemory
One API call. All formats. Any source. Always bleeding edge. Done.
Interoperability
Model-agnostic APIs.
Supermemory works with any LLM provider. So you can keep switching, without lock-in.
Performance
Sub-400ms latency at scale.
Supermemory is built for speed and scale. We re-imagined RAG to be faster and more efficient.
Tooling
Works with AI SDK, Langchain, and more.
Just one line of code to get started. Yes. you heard that right.