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.
"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.
No telemetry pipeline. No cloud sync. No anonymous aggregation. Your MAGMA graph is a SQLite file on your machine — structurally inaccessible to us.
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.
Cancel any time. Your SQLite file is portable to any machine, unaffected by our pricing decisions or our continued existence.
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.
MAGMA graph · AUDN curation · local embeddings · zero cloud dependency
Every agent conversation produces raw context — preferences, facts, corrections, plans. Slipstream 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.
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.
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.
vektor rem from the CLI. Your agent wakes up smarter than when it went idle.
node rem.js when your agent is idle.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.
Vektor is MCP-native. Our infrastructure allows agents using Claude Code or custom Agentic Frameworks to recall long-term context instantly. By utilising the Model Context Protocol, Vektor grants agents "Object Permanence" across distinct sessions and multi-agent workflows.
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.
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.
| Feature | Slipstream | Cloud memory vendors |
|---|---|---|
| Recall latency | 8ms avg · <50ms p95 | 200–800ms |
| Embedding cost | $0 · fully local | Per-call API fee |
| Data location | Your machine | Vendor servers |
| GDPR / data residency | By architecture | Policy only |
| Air-gap / offline | Yes · SQLite local | No |
| Setup | npm install | SDK + API key + billing |
| Scales to | Millions of vectors | Depends on plan |
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.
{
"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"]
}
}// 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.node node_modules/vektor-slipstream/mistral/mistral-setup.js. Enter your licence key. Bridge starts in 60 seconds.vektor-tool-manifest.json as a tool in your Mistral agent or La Plateforme project.localhost:3847 — Mistral calls your local endpoint, not an external server. Your memory graph never leaves your machine. Licence validation is a Polar check on setup. Law I enforced: zero cloud routing of memory data.
Cloud memory vendors charge twice: a subscription for the service, and a per-call embedding fee on every store and recall. They also hold your data. VEKTOR eliminates both problems by architecture — not policy.
No API roundtrip. Vectors live on your machine. Recall is a local SQLite lookup — not a network call to a cloud vendor’s infrastructure.
Cloud memory solutions bill per store and recall operation. At production volume those embedding fees often exceed the subscription itself. VEKTOR runs on your machine — one flat price.
Cloud vendors enforce compliance by policy. VEKTOR enforces it by architecture. Your MAGMA graph is a SQLite file on your machine — structurally unreachable by any third party.
$9/month · Cancel any time · Commercial licence · Continuous updates
Adjust all four sliders to match your situation. Cloud subscription, embedding volume, time horizon, and team size — VEKTOR auto-selects the right licence tier and shows you the real saving.
Questions? [email protected]