Architecture Ready for 2026 Workloads

THE MEMORY SUPER CYCLE.

LLMs are ephemeral. MindFiles™ is the persistent Inference Context Layer. We provide the high-bandwidth procedural memory required for Agentic AI to function autonomously over months, not minutes.

From Chatbots to Procedural Memory.

In 2024, AI had "Context Windows." In 2026, AI requires Inference Context Memory.

MindFiles™ acts as the hippocampus for your Workiza agents. It allows them to store experiences, learn skills, and execute multi-step actions without recalculating the logic every time. This is the shift from "Chat" to "Persistent State."

TRADITIONAL RAG
Static Retrieval
MINDFILES™
Dynamic State
Compute Layer (LLM)
MindFiles™ Layer
Persistent Context State
Unified Storage Pool

Automated Intelligent Tiering

We optimize for the 2026 storage shortage. Your critical inference data lives on High-Bandwidth Memory (HBM), while archival records drift to cold storage automatically.

HOT TIER

HBM / NVMe

Reserved for active agent thoughts and immediate procedural execution.

0.01ms
WARM TIER

Unified Flash

Semantic search indexes and feature stores accessible in sub-seconds.

15ms
COLD TIER

Object Store

Archived logs and compliance trails. Cost-optimized for petabyte scale.

200ms

Contextual Security.

In a unified storage pool, security cannot be an afterthought. MindFiles™ enforces permissions at the vector retrieval step.

  • RBAC at the Vector Level

    Agents only "remember" what they are authorized to know.

  • Zero-Knowledge Encryption

    We store the vectors. Only you hold the keys to decode the semantic meaning.

infrastructure_config.yaml

version: "v3.2.0-alpha"

cluster:

provider: "MindFiles Bare Metal"

region: "us-central-g1"

nodes:

- type: "nvidia-bluefield-4"

count: 12

hbm_capacity: "Auto-Scale"

storage_policy:

tiering: "intelligent"

encryption: "aes-256-gcm"