Platform
Everything you need for production AI memory
MemorySync is the memory layer for AI applications that need context to be durable, retrievable, and governed.
Memory operations
Store context once and retrieve what matters for the current request.
Semantic recall
Retrieve the most relevant context for a query, ranked by meaning rather than keyword overlap.
Summarization and compaction
Condense related memories and merge duplicates so prompts stay within a workable context budget.
Memory intelligence
Surface entity relationships, thematic clusters, and conflicting statements across what you have stored.
Security and governance
Built for teams that have to answer for where their data went.
Multi-tenant isolation
Every memory is scoped to an organization, project, and end user, so one customer’s context is never retrievable by another.
Audit logging and access control
A durable record of access and change, with role-based permissions over who can read, write, and administer.
Enterprise identity
Single sign-on through SAML and OIDC, with SCIM provisioning to keep directory changes in step.
Developer experience
A small surface to learn, and no infrastructure to run.
Python and Node.js SDKs
Official clients with typed responses, synchronous and async styles in Python, and promise-based calls in Node.js.
REST API and webhooks
A documented HTTPS API callable from any language, with webhooks for the events your application needs to react to.
Connectors
Sync permitted content from GitHub, Google Drive, Notion, OneDrive, Slack, Granola, Amazon S3, and the web crawler.
Platform
Start with the free tier and explore every feature
Add your first memory in minutes, then evaluate retrieval, isolation, and governance on your own workload.
Start free. No credit card required.