Building the Memory Layer for AI
Making AI agents smarter through persistent, structured memory. We believe every agent deserves infrastructure that lets it learn, remember, and reason across sessions.
AI Agents Deserve Better Infrastructure
Today, most AI agents start every conversation from scratch. They lose context, repeat mistakes, and can never build on past experience. That is not intelligence.
Ynfra provides the memory infrastructure that changes this. We give agents the ability to capture experiences, compile them into structured knowledge, and synthesize relevant context on demand. All deterministic. All auditable. All within token budgets.
Built by engineers who believe AI agents deserve better infrastructure.
Our Values
Open Protocol
The HMX Protocol is open and extensible. No vendor lock-in, no proprietary formats. Your memory infrastructure belongs to you.
Security First
AES-256-GCM encryption, tenant isolation, and zero-trust architecture. Secrets never touch prompts or logs.
Developer Experience
Three API calls to integrate. Type-safe SDKs, clear documentation, and predictable behavior. Memory should be simple.
Performance
Sub-millisecond memory retrieval, deterministic compilation, and token-budget-aware synthesis. Built for production workloads.
Where We Are Heading
Foundation
Core memory engine, HMX Protocol specification, and SDK release.
Enterprise
Multi-agent memory, RBAC, encrypted vault, and team-scoped namespaces.
Scale
Distributed memory clusters, cross-organization knowledge federation, and advanced analytics.
Ecosystem
Marketplace for memory plugins, community-driven protocol extensions, and specialized adapters.
Join Us in Building the Future of AI Memory
We are always looking for talented engineers who want to push the boundaries of what AI agents can do.