The sovereign agentic OS, in technical detail.
Zalvyum is a local-first cognitive operating system with a quad-hemispheric memory architecture, deterministic process isolation, and zero cloud dependency by default. Built for evaluators who need to know what’s actually running.
A cognitive engine with four hemispheres.
Each hemisphere is a specialized memory and reasoning substrate. They share a cognitive bus. Together they replace the “forget everything every conversation” behavior that makes chatbots useless for serious work.
Cosine-similarity retrieval over every interaction. Full-text search. The hippocampus — never loses a line of code or a meeting summary.
Native GraphRAG. Converts data into Subject → Relationship → Object triples. Multi-hop reasoning across business entities, clients, dependencies.
The cerebellum. Harvests technical failures into immutable axioms. Once it learns a fix, it rewires its logic and never repeats the error.
Agentic ERP/CRM engine. Dynamic JSON SQLite tables. Generates Markdown reports, tables, and structured exports on demand.
Where every byte goes. And where it doesn’t.
The default mode is sovereign — cognitive processing happens entirely on customer hardware. Two opt-in modes extend this, on the operator’s explicit terms.
Operator → WebSocket → Zalvyum Kernel → MLX (local) → Response
↕
SQLite (local) Zero network calls. The kernel never reaches the public internet. Optimal for fully isolated deployments — regulated finance, healthcare, legal.
Operator → Kernel → MLX → Response
↓
Authorized integrations
· ERP API (Tango, ContPaqi, SAP B1)
· File storage
· Scheduled exports Cognitive work stays local. Outbound calls go only to integrations explicitly authorized during onboarding. No frontier model APIs called.
Operator → Kernel ──→ MLX (local) ──┐
│ ↓
├──→ OpenAI ───────→ Synthesis
├──→ Anthropic ───→ Synthesis
└──→ Google ──────→ Synthesis Operator explicitly invokes Augmented Mode for a specific query. The query is sent to selected frontier providers in parallel. Local engine synthesizes a final response. Operator pays providers directly — Zymbiotech never brokers payments or stores frontier responses.
What happens between “Enter” and the answer.
Operator prompt + compressed history + visual context travel through WebSocket to the Node.js TaskQueueManager.
The orchestrator evaluates system thermal state and routes: sequential lock for local MLX, parallel dispatch for cloud APIs if Augmented Mode is active.
The active engine queries the four hemispheres in parallel. Vector retrieves precedent. Graph reasons across relationships. Procedural applies axioms. Administrative pulls structured data.
If the response requires a tool, code is generated and run in a V8 virtual machine sandbox. 15-second SIGKILL on hanging processes. Async network calls capped at 10 seconds.
The synthesized answer streams back to the operator via WebSocket. Tables, CSV exports, voice (Kokoro TTS), or plain Markdown depending on context.
At 03:00 AM the REM Sleep Protocol runs locally. New interactions are consolidated, failure logs forge new axioms, irrelevant memory is pruned, SQLite is vacuumed.
Defense in depth, by design.
All generated code runs in detached process groups inside V8 virtual machine sandboxes. Network calls have a 10-second timeout. Hanging processes are SIGKILL’d at 15 seconds without operator intervention.
The system blocks write access to its own source code and core database files. Self-modification attempts are intercepted and denied at the kernel layer. The OS cannot mutate itself.
The REM consolidation cycle is forced through the local MLX engine. Sensitive business memory is never sent to a cloud model, even when Augmented Mode is enabled for the running query.
Optional encrypted tunnel (Cloudflare-style) lets the operator access their Zalvyum instance from anywhere via mobile or web. End-to-end encrypted. Zymbiotech cannot read your data through the tunnel.
What you need, by workload.
Zalvyum runs on Apple Silicon unified memory. RAM is the primary constraint. Local model context window scales linearly with available memory.
We size this during onboarding based on your actual workload. We can supply pre-configured hardware as part of the deployment.
When things break.
Hot SQLite snapshots every hour. Daily full backup to operator-controlled storage. Backups are encrypted at rest. Restore to new hardware in under 60 minutes.
Node.js orchestrator supervises all subprocesses. Crashes are logged and surfaced via the procedural hemisphere, which forges new axioms to prevent recurrence.
If the local model exceeds context window or hits a 3-minute watchdog timeout, the orchestrator reports the constraint to the operator with the option to escalate to Augmented Mode.
Kernel updates are pushed manually by the operator. Nothing auto-updates without explicit approval. Updates are signed and verified before installation.
Want to go deeper?
Schedule a 30-minute call with the engineering team. We’ll cover architecture, security model, integration patterns, and answer any technical question you have. NDA available on request.