Give your AI agents memory, identity, and context

Our Memory API enriches LLM prompts with secure, user-controlled embeddings—capturing preferences, tone, and behavioural context while maintaining full data privacy.

Let's talk

What is the Memory API?

The Memory API gives AI agents long-term memory and personalization without compromising privacy. It stores user-specific vector embeddings—preferences, tone, writing style, history—and injects them into prompts securely, improving AI performance across tools.

Why use the Memory API?

  • Enrich LLM prompts with contextual embeddings based on user history and behaviour.
  • Deliver personalized, on-brand outputs without users repeating themselves.
  • Maintain privacy with user-controlled, encrypted memory vaults.
  • Ensure compliance with GDPR and enterprise data standards.
  • Enable agents to adapt tone, writing style, and domain knowledge in real-time.

What does the Memory API include?

  • Secure vector embedding generation and storage for user-specific context.
  • Prompt enrichment endpoint for real-time LLM context injection.
  • Fine-grained access control and consent management for every memory request.
  • Multi-tenant memory vaults supporting both individual users and organizations.
  • Audit logs and access history for compliance and transparency.
  • Developer-friendly SDKs and full API documentation.

Why choose the Memory API?

  • Make your agents smarter, faster, and more useful by giving them memory.
  • Platform-agnostic: works with OpenAI, Claude, Gemini, and any LLM stack.
  • Built for developers: fast integration, scalable infrastructure, real-time performance.
  • Enterprise-ready: encrypted, audit-friendly, and fully compliant.
  • Zero vendor lock-in: your memory, your rules.

Frequently asked questions

How does the Memory API work?

Apps send user data (e.g. preferences, writing samples, or past outputs) to NeuroVault. We generate vector embeddings and store them securely. When an agent runs, we inject that memory context into the LLM prompt in real time.

Is the memory shared across apps?

No. Memory access is controlled per app/client. Users or org admins explicitly grant or revoke permissions through consent controls.

Does this work with OpenAI and other models?

Yes. The API is model-agnostic. It enriches prompts before sending them to any LLM — OpenAI, Claude, Gemini, or local models.

How secure is the Memory API?

All embeddings are encrypted at rest. Access is logged, and you have full control over consent, revocation, and visibility. The platform is built with enterprise security and privacy compliance in Memory.

Is there a free trial?

Yes — sign up for a free developer account to test the Memory API and start enriching prompts with personalized context.

Ready-made APIs for Developers

We're human - Let's talk

Take your business to the next level with Gateway APIs. Get in touch today.

Let's talk