Intelligence Infrastructure

The Cognitive Core

A multi-agent, memory-aware reasoning engine operating at the global edge. Designed for zero-latency streaming and infinite context retention.

Built for scale. Engineered for context.

Under the hood of the Vlozi reasoning engine.

Tri-Layer Memory Architecture

Your copilot doesn't just process prompts—it remembers. We utilize a 3-tier memory system consisting of CF KV for session state, Neon PostgreSQL for episodic tracking, and pgvector for massive semantic recall.

Layer 1
Working Memory
CF KV Edge State
Layer 2
Episodic Memory
Neon PosgreSQL
Layer 3
Semantic Recall
pgvector Search

Proactive Insight Engine

AI shouldn't only be reactive. Cron-triggered anomaly detection scans tenant data every 6 hours, proactively alerting you to traffic drops, content gaps, and algorithmic wins.

Traffic Anomaly DetectedYour traffic dropped 35% this week. This is correlated with 0 scheduled posts in Blog Engine. Action required.

Multi-Agent Orchestration

We deploy an ultra-fast Haiku-class router to parse intent, which dynamically delegates tasks to heavily-prompted domain specialists (Blog, Content, Analytics). Let the experts handle the execution.

Two-Pass Lazy Context Assembly

Stop blowing your token budget on redundant context. Our backend evaluates intent first, then explicitly fetches only the required database fields and specific memories for the prompt.

Developer Experience

Stream tokens, not loading spinners.

Wire up native Server-Sent Events natively in 5 lines of code.

connect.ts
const stream = new EventSource("https://api.vlozi.app/brain/chat/stream");

stream.addEventListener("token", (e) => {
  const chunk = JSON.parse(e.data);
  process.stdout.write(chunk.text);
});

stream.addEventListener("tool_call", (e) => {
  console.log("Agent is running a function...")
});