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Memory & Vector DBs

Vector databases and memory layers so agents can store and recall knowledge.

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Fully managed vector database with serverless indexes and integrated embedding and reranking.

Open-source vector search engine written in Rust, available self-hosted or as a managed cloud.

Developer-friendly open-source embedding database that runs in-process or as a server.

Vector database built into Workers for storing and querying embeddings close to your code.

Open-source vector database with hybrid search and built-in vectorizer modules.

Open-source, highly scalable vector database, also offered as the managed Zilliz Cloud.

Postgres extension that adds vector columns and similarity search to an ordinary database.

Embedded, serverless vector database storing data in an open columnar format.

Memory layer that lets agents remember user facts and preferences across sessions.

Long-term memory for agents built on a temporal knowledge graph of conversations and data.

Platform for stateful agents with self-managed memory, descended from the MemGPT research project.

Serverless search engine on object storage combining vector and full-text queries at low cost.

Vector similarity and hybrid search inside Redis, handy when you already use it for caching.