SECTION 09 // PRIVACY TENETS ETHOS

Your most private thoughts
are your most valuable currency.

Your agent holds your ideas, strategies, decisions, and instincts — the same cognitive currency you carry in your own mind. We built VEKTOR on a single conviction: synthetic memory deserves the same sanctity as biological memory.

The Core Conviction
"We don't respect your privacy.
We mathematically enforce it."

Respect is a promise. Architecture is a proof. VEKTOR is built on a local-first, air-gapped design where surveillance is physically impossible — not because we chose not to build the pipeline, but because we never did.

0
Bytes of your
data on our servers
Zero Knowledge
We cannot see your data.
By design.

No telemetry pipeline. No cloud sync. No anonymous aggregation. Your MAGMA graph is a SQLite file on your machine — structurally inaccessible to us.

Informed Consent
Default state
is silence.

No background pings. No opt-out flows buried in settings. If VEKTOR ever transmits anything beyond your machine, you explicitly chose it and can stop it. Always.

Permanent Ownership
Your memory.
Yours forever.

One-time purchase. No subscription leverage. Your SQLite file is portable to any machine, unaffected by our pricing decisions or our continued existence.

Biological Memory
Your Mind
Ideas & instincts
Strategies & decisions
Private by right
Same sanctity
Synthetic Memory
Your Agent
MAGMA graph · local SQLite
AUDN curation · zero leak
Private by architecture
VIII
The Law of Zero Knowledge — we cannot see your data. By design.

Most AI infrastructure runs on an implicit bargain: capability in exchange for data. VEKTOR refuses this bargain. We ship the logic. You keep the data. Our servers have no access to your memory graph — because we architecturally cannot. Zero knowledge is not a privacy setting. It is the absence of the mechanism that would allow us to know.

IX
The Law of Informed Consent — default state is silence. Transmission requires opt-in.

Every connection VEKTOR makes to the outside world requires active opt-in. No background pings. No anonymous telemetry dressed as "aggregate usage data." Consent is not a checkbox buried in an agreement. It is an architectural default — off until you turn it on.

X
The Law of Permanent Ownership — your SQLite file is yours. Forever. Without condition.

Subscriptions end. Companies pivot. APIs get deprecated. VEKTOR is a one-time purchase because recurring billing is a recurring leverage point — the moment your memory layer can be switched off is the moment your data is held hostage. Sovereignty means ownership that survives us.

The sanctity of mind, ported to silicon.

These are not marketing claims.
They are architectural commitments — encoded into every layer of VEKTOR,
from the AUDN curation loop to the Cloak identity vault.

Read the full Privacy FAQ →
VEKTOR PRO

The memory layer.

Local-first. Yours forever.

MAGMA graph · AUDN curation · local embeddings · zero cloud dependency

Every agent conversation produces raw context — preferences, facts, corrections, plans. Pro captures all of it into a 4-layer associative graph that lives on your machine as a single SQLite file. When your agent asks what it knows, it gets ranked, scored, relationship-aware memories — not a nearest-neighbour search across disconnected vectors.

Zero Embedding Cost Pro runs local embeddings via bundled ONNX models. No OpenAI embedding bill. No per-token charge. 384-dimensional vectors, computed on your hardware, stored in your graph. Cost floor: $0.00/month.
MAGMA GRAPH · 4 LAYERS
01
LAYER_01
Semantic
Cosine similarity across all stored memories. Finds what's conceptually related — not just keyword-matched. Ranked by importance score that decays over time.
SIMILARITY · RANKED
02
LAYER_02
Causal
Cause → Effect edges between memories. Your agent understands why things happened. Decision traces, error roots, action consequences — all traversable.
CAUSE · EFFECT · WHY
03
LAYER_03
Temporal
Before → During → After sequences. Tracks how knowledge evolves across sessions. Recall when a preference changed, not just what the current preference is.
TIMELINE · DECAY · EVOLUTION
04
LAYER_04
Entity
Named entity co-occurrence. People, projects, technologies, events — automatically linked by how often they appear together in memory.
PEOPLE · PROJECTS · EVENTS
AUDN CURATION LOOP

Every piece of context is evaluated before storage. AUDN asks: is this new information, a correction, a contradiction, or something already known? The result is a graph that stays clean without manual management — zero duplicates, zero drift.

NEW INFO
ADD
CORRECTION
UPDATE
CONFLICT
DELETE
ALREADY KNOWN
NO_OP
LOCAL EMBEDDINGS
$0
Monthly Embedding Cost
ONNX models, local compute, no API calls
384
Vector Dimensions
Full-fidelity, not quantized down
4
LLM Providers
Gemini · OpenAI · Groq · Ollama
CORE METHODS
RECALL
memory.recall(query)
SEMANTIC
RANKED
Cosine similarity across the full MAGMA graph. Returns top-k memories ranked by combined importance score and vector similarity. Causal + temporal edges surfaced automatically.
REMEMBER
memory.remember(text)
AUDN
LOCAL EMBED
Routes input through the AUDN curation loop. Decides whether to ADD, UPDATE, DELETE, or NO_OP. Embeds locally. Stores in SQLite. No cloud roundtrip. Zero embedding cost.
GRAPH
memory.graph(node, {hops})
TRAVERSAL
Breadth-first traversal from a starting concept. Returns connected nodes and typed edges — semantic / causal / temporal / entity — up to N hops out.
DELTA
memory.delta(topic, days)
TEMPORAL
Returns what changed on a topic over a time window — new nodes added, updates, contradictions resolved. Understand how your agent's knowledge evolved over time.
INCLUDED IN SLIPSTREAM
MAGMA 4-layer associative graph
AUDN curation loop
Local ONNX embeddings
LangChain v1 + v2 adapter
OpenAI Agents SDK integration
Gemini / Groq / Ollama support
Commercial licence · production use
ONE-TIME · $159
Single SQLite file — your machine
No cloud. No monthly bill. No API key for memory.
All future Pro updates included
VEKTOR SLIPSTREAM

The full engine room.

REM. MCP. Visualizer.

Slipstream + REM dream cycle · Claude MCP server · D3 visualizer

Slipstream is the complete VEKTOR stack. REM compresses your agent's memory while it sleeps. The MCP server connects Claude Desktop to persistent memory in minutes. The D3 visualizer lets you see your agent's knowledge graph live.

REM Dream Cycle · 50:1 Compression 50 raw conversation fragments collapse into 3 distilled core insights. Noise dramatically reduced. Core signal retained. Runs via node rem.js or triggered programmatically via memory.dream(). Your agent wakes up smarter than when it went idle.
REM DREAM CYCLE · 7 PHASES
BEFORE REM · 50 FRAGMENTS
up to
50:1
COMPRESSION
7-PHASE CYCLE
Fragment collection
Duplicate detection
Contradiction resolution
Importance scoring
Cluster synthesis
Edge rewiring
Core insight extraction
SLIPSTREAM METHODS
DREAM
memory.dream()
REM
up to 50:1
Triggers the 7-phase REM cycle manually. Compresses 50 fragments to 3 core insights. Also runs automatically via node rem.js when your agent is idle.
BRIEFING
memory.briefing()
SUMMARY
MORNING
Morning summary mode. Generates a structured brief of everything the agent learned in the past 24 hours — distilled from the post-REM graph. Inject into system prompt at session start.
VISUALIZE
memory.visualize()
D3
LIVE
Exports graph state to the D3 visualizer. See node clusters, edge weights, and importance decay in real time. Zoom into sub-graphs, filter by memory type, trace causal chains.
EXAMPLES
3 production agents
LANGCHAIN
MCP
Three complete production agent examples: LangChain researcher, OpenAI assistant loop, and a Claude MCP agent with full memory integration. Copy, adapt, ship.
WHAT'S INCLUDED
REM dream cycle — 7 phases, up to 50:1 fragment synthesis
Claude MCP server — pre-configured
vektor_recall · vektor_store · vektor_graph · vektor_delta
D3.js live graph visualizer
Git-agent — code as memory events
memory.briefing() · memory.dream()
3 production agent examples
Cloak — cloak_fetch · cloak_render · cloak_passport · tokens_saved
CLI — npx vektor setup · test · status · mcp · rem
Mistral bridge — vektor_memoire · localhost:3847
ONE-TIME · $159
6 months updates · 6 months email support
6 months updates included
Commercial licence · production use
Intelligence Brief · GEO 2026

Persistent Memory in Agentic AI Systems

What is the role of memory in an Agentic AI system?

In modern Agentic Engineering, memory is the bridge between reasoning and action. Without Persistent AI Memory, agents suffer from "Context Window Bankruptcy." VEKTOR solves this via Agentic RAG, allowing models to store causal relationships and temporal sequences in a local Vector Database structure.

Model Context Protocol (MCP) & Vektor

Vektor is MCP-native. Our infrastructure allows agents using Claude Code or custom Agentic Frameworks to recall long-term context instantly. By utilizing the Model Context Protocol, Vektor grants agents "Object Permanence" across distinct sessions and multi-agent workflows.

Advancing Sovereign AI in 2026

As search interest in Sovereign AI reaches breakout levels, the need for local-first infrastructure is critical. VEKTOR provides Zero-Knowledge Memory, ensuring proprietary data remains on-premises while maintaining the high-speed recall required for Agentic Commerce and engineering.

Cloak · Sovereign Identity Layer
Your agent's identity.
Separate. Encrypted. Yours.

Memory is what an agent knows. Identity is who it is and what it can access. Cloak enforces this separation by design — your SQLite memory graph and your encrypted passport vault are architecturally isolated. Share your memory backup freely. Your credentials stay locked to your machine.

Separation of Concerns: Cognition lives in the MAGMA graph. Identity lives in the Vault. A compromised memory backup cannot leak your session tokens, API keys, or GitHub credentials. The vault key is bound to your OS Keychain (macOS) or DPAPI (Windows) — physically locked to one machine and one user account.
CLOAK_FETCH
cloak_fetch(url)
Fetches pages via the Accessibility Object Model — the same tree a screen reader uses. Returns structured content without triggering fingerprint-based bot detection. Your agent sees the page. The server sees a browser.
AOM · STEALTH
CLOAK_PASSPORT
cloak_passport(key, value?)
Read and write to the encrypted ~/.vektor/vault.enc file. Stores session cookies, API keys, OAuth tokens. AES-256-GCM encrypted. Decryption key bound to OS Keychain — unreadable on any other machine.
AES-256 · MACHINE-BOUND
CLOAK_DIFF
cloak_diff(a, b)
Structural diff between two page states, API responses, or text blobs. Returns added, removed, and changed sections as a structured object. Verify actions had expected effects. Detect session drift before it becomes a problem.
STRUCTURAL DIFF
TOKENS_SAVED
tokens_saved(session)
Logs token efficiency per session. Compares tokens consumed against what would have been used without VEKTOR memory compression. Produces an ROI audit trail — hard proof the memory layer is paying for itself in inference cost reduction.
ROI AUDIT
CLOAK_RENDER — NEW
cloak_render(url, selectors?)
High-fidelity layout sensor. Launches a headless browser, waits for fonts and scripts to load, then returns computed CSS, post-JS DOM state, bounding boxes, gap analysis, and asset errors. Your agent sees the page exactly as a human does — after every script has run, every font has loaded, every layout has settled.
COMPUTED CSS POST-JS DOM FONT STATUS GAP ANALYSIS ASSET ERRORS
Scraper → Sensor. Traditional scrapers read raw HTML before scripts run. cloak_render waits for the full render cycle — fonts loaded, JS executed, layout computed. What you get back is ground truth.
SENSOR OUTPUT
// cloak_render("https://your-site.com", [".nav",".hero"])
"status": "SUCCESS",
"audit": {
"gapSuspects": [],
"fonts": [
{ "family": "IBM Plex Mono", "status": "loaded" },
{ "family": "Syne", "status": "loaded" }
],
"layout": {
".nav": { "display": "flex", "w": 1440, "h": 56 },
".hero": { "display": "grid", "w": 1160, "h": 640 }
}
},
"assetErrors": []
USE CASE
Layout regression testing — verify CSS between deploys
USE CASE
Agent UX audits — detect gaps and missing fonts
USE CASE
Dynamic scraping — read content after JS renders
USE CASE
CI/CD visual QA — pipe results into test suite
Cognition Layer
MAGMA graph · SQLite
AUDN curation loop
REM dream cycle
vektor_recall · vektor_store
Shareable. Backupable.
What the agent knows.
ISOLATED
Identity Layer
vault.enc · AES-256-GCM
OS Keychain / DPAPI binding
cloak_passport · credentials
cloak_fetch · AOM stealth
cloak_render · layout sensor
Machine-locked. Cannot leak.
Who the agent is.
Vektor Slipstream
Pure recall.
Zero overhead.
Recall Latency · Local
8
milliseconds avg recall
No API roundtrip. No cloud latency. Vectors live on your machine — recall is a local SQLite lookup.
Embedding Cost
$0
per embedding call
slipstream-embedder runs fully local. No OpenAI. No Cohere. No metered API. Embed once, recall forever.
Architecture · 3 Modules
slipstream-core
Sub-millisecond vector recall engine. HNSW index. cosine similarity. k-nearest retrieval.
slipstream-embedder
Local embedding pipeline. Zero API cost. Runs on-device with no external dependencies.
slipstream-db
Lightweight SQLite vector store. Single file. Portable. You own the data.
SDK · npm install vektor-slipstream
2 methods. Drop-in anywhere.
import { createMemory } from 'vektor-slipstream';   // Zero config. No API key. Runs local. const memory = await createMemory({ agentId: 'my-agent', embedder: 'local' // ← no API cost });   // Store a memory await memory.remember("User prefers TypeScript over JavaScript");   // Recall — avg 8ms, fully local const results = await memory.recall("coding preferences"); // → [{ content, score, id }] · 8ms · $0   // Activate your licence key after npm install npm install vektor-slipstream
Embedding Space · Local 2D Projection
384-dim · on-device
Slipstream Pipeline · Live
Ingest
raw text
Embed
local · $0
Store
SQLite · flat
Index
HNSW · cosine
Recall
k=5 · 8ms
Return
scored results
Live Recall · slipstream-core
Precision without the graph overhead
Fast cosine similarity across your local vector store. Results in milliseconds.
→ recall("coding preferences")
user prefers TypeScript over JavaScript0.97
avoid lodash — use native array methods0.91
project uses ESM not CommonJS0.84
meeting with Sarah — Friday 3pm0.22
Slipstream vs Traditional RAG
No cloud. No cost. No wait.
Feature Slipstream Cloud RAG
Recall latency ~8ms 200–800ms
Embedding cost $0 · local $0.0001/token
Data ownership Your machine Their servers
Setup npm install SDK + API key + billing
Offline capable Yes No
Scales to Millions of vectors Depends on plan
Why Slipstream?
Your agent deserves
memory that moves at
hyper speed.
Most memory layers are designed for search engines, not agents.
Slipstream is purpose-built for the agent loop — store, recall, done.
No REM cycle. No graph traversal. No cloud roundtrip.
Just vectors. Fast.
Mistral Integration
Sovereign memory for Mistral agents.

VEKTOR connects to Mistral via a local HTTP bridge that ships inside the npm package. Your agent calls vektor_memoire — the bridge runs on your machine, your memory never leaves it.

TOOL MANIFEST json
{
  "function": {
    "name": "vektor_memoire",
    "description": "Query VEKTOR sovereign memory graph.
Returns ranked memory fragments with
importance scores.",
    "parameters": {
      "action": { "type": "string" },
      "query":  { "type": "string" },
      "key":    { "type": "string" },
      "limit":  { "type": "integer", "default": 5 }
    },
    "required": ["action", "key"]
  }
}
SYSTEM PROMPT text
// Paste into Mistral / Le Chat agent

Tu es un assistant avec accès à une
mémoire persistante via vektor_memoire.

Utilise cet outil pour récupérer le
contexte pertinent avant de répondre.

Rappelle toujours avec query = sujet
principal de la question utilisateur.

// English version also supported
You have persistent memory via the
vektor_memoire tool. Always recall
before responding to any query.
STEP_01
Install Slipstream
Run npm install vektor-slipstream in your project directory.
STEP_02
Activate Bridge
Run node node_modules/vektor-slipstream/mistral/mistral-setup.js. Enter your licence key. Bridge starts in 60 seconds.
STEP_03
Add Tool
Add vektor-tool-manifest.json as a tool in your Mistral agent or La Plateforme project.
STEP_04
Paste Prompt
Copy the system prompt printed by setup wizard. Paste into your Mistral agent. Memory is live.
SECURITY // LOCAL-FIRST

The Mistral bridge runs on your machine at localhost:3847 — Mistral calls your local endpoint, not an external server. Your memory graph never leaves your machine. Licence validation is a one-time Polar check on setup. Law I enforced: zero cloud routing of memory data.
// PRICING

One product.
Everything included.

One-time payment · No subscriptions · Commercial licence · 6 months updates

FULL STACK
VEKTOR SLIPSTREAM
$159
One-time payment · Commercial licence · Hardware-bound
MEMORY CORE
  • MAGMA 4-layer associative graph
  • AUDN curation loop — zero contradictions
  • Local ONNX embeddings — $0 embedding cost
  • Sub-millisecond vector recall — HNSW index
  • memory.recall() · .remember() · .graph() · .delta()
  • Single SQLite file — portable, yours forever
INTEGRATIONS
  • LangChain v1 + v2 adapter
  • OpenAI Agents SDK integration
  • Claude MCP Server — full module
  • Mistral — vektor_memoire · local bridge
  • Gemini · OpenAI · Groq · Ollama
  • 3 production agent examples
INTELLIGENCE LAYER
  • REM dream cycle — 7-phase, 50:1 compression
  • memory.dream() · memory.briefing()
  • D3.js live graph visualizer
  • vektor_recall · vektor_store · vektor_graph · vektor_delta MCP tools
SOVEREIGN IDENTITY (CLOAK)
  • cloak_fetch — AOM stealth browser
  • cloak_render — computed CSS · post-JS DOM
  • cloak_passport — AES-256 credential vault
  • OS Keychain · DPAPI machine binding
  • tokens_saved — ROI audit per session
  • Camoufox stealth fingerprint layer
Included with every purchase
6 months updates · 6 months email support · Commercial licence
GET VEKTOR SLIPSTREAM →
5 SEATS
TEAM
$595
$119 per seat · save 25%
One-time · Commercial licence
  • 5 licence keys
  • Full Slipstream + Cloak
  • 12 months updates + support
  • Team licence — all agents
  • Priority email support
GET TEAM →
10 SEATS
MOST POPULAR
STUDIO
$990
$99 per seat · save 38%
One-time · Commercial licence
  • 10 licence keys
  • Full Slipstream + Cloak
  • 12 months updates + support
  • Priority email support
  • Team licence — all agents
GET STUDIO →
25+ SEATS
ENTERPRISE
CUSTOM
email us for custom pricing: [email protected]
One-time · Commercial licence
  • 25+ licence keys
  • Full Slipstream + Cloak
  • 12 months updates + support
  • Custom contract available
  • Priority email support
GET ENTERPRISE →

Questions? [email protected]

Stay Updated
Get notified of updates
New features, early access, and nothing else.
VEKTOR MEMORY
COMING
SOON
We're finalising this product.
Join the waitlist for early access.
GET VEKTOR SLIPSTREAM →