Give AI agents real memory, identity, and context

The Memory API securely enriches LLM prompts with user-specific embeddings—capturing preferences, tone, writing style, and behavioural history while maintaining full data privacy and control.

Context-aware infrastructure for AI agents

The Memory API gives AI tools secure, private memory without locking you into a single model or vendor. Generate user-specific vector embeddings, enrich prompts in real time, and build smarter, more adaptive AI agents across any platform.

What you can do with the Memory API

Capture user preferences, style, tone, and domain knowledge in secure vector embeddings.
Inject real-time memory into LLM prompts to deliver personalized, consistent outputs.
Offer users full visibility, control, and revocation rights over their data.
Stay GDPR-compliant with fine-grained consent and audit logs built in.
Deploy across any LLM — OpenAI, Claude, Gemini, open source, and more.

Memory API features

Secure vector embedding generation and storage for user-specific context.
Prompt enrichment endpoint for seamless, real-time LLM integration.
Fine-grained access control, consent management, and user revocation flows.
Multi-tenant architecture: manage individual or organizational memory vaults.
Full audit trails and access logging for compliance and transparency.
Developer-first API documentation and SDKs for rapid integration.

Why choose the Memory API?

Give AI agents lasting memory without sacrificing security or user trust.
Platform-agnostic: works with any LLM or AI toolchain.
Developer-friendly: fast integration, clean documentation, real support.
Enterprise-ready: encrypted storage, granular access control, full compliance.
No vendor lock-in: your memory, your rules, your infrastructure.

Frequently asked questions

How does the Memory API work?

Apps send user data (preferences, writing samples, history) to Gateway. We generate secure vector embeddings, store them encrypted, and provide an endpoint for enriching LLM prompts in real time with that context.

Is memory shared across different apps?

No. Each application or organization has its own secure, isolated memory vault. Users explicitly grant or revoke access per app via consent controls.

Which models are supported?

The Memory API is model-agnostic. It works with OpenAI, Claude, Gemini, Anthropic, open source LLMs, or any custom inference stack. We enrich prompts before they hit your model of choice.

How is user data protected?

All embeddings are encrypted at rest. Every access is logged and auditable. Users maintain full rights over consent, access, and revocation. Our infrastructure is GDPR-compliant and built for enterprise-grade security.

Is there a free trial?

Yes. You can sign up for a free developer account to start testing memory-enriched LLM prompts and evaluate integration options without commitment.

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