vektor-slipstream

Hardware-accelerated persistent memory for AI agents. Local-first. No cloud. One-time payment.

Install

npm install vektor-slipstream
npx vektor setup

Quick Start

const { createMemory } = require('vektor-slipstream');

const memory = await createMemory({
  agentId:    'my-agent',
  licenceKey: process.env.VEKTOR_LICENCE_KEY,
});

// Store a memory
await memory.remember('User prefers TypeScript over JavaScript');

// Recall by semantic similarity — avg 8ms, fully local
const results = await memory.recall('coding preferences', 5);
// → [{ content, score, id }]

// Traverse the graph
const graph = await memory.graph('TypeScript', { hops: 2 });

// What changed in 7 days?
const delta = await memory.delta('project decisions', 7);

// Morning briefing
const brief = await memory.briefing();

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CLI Chat — Persistent Memory Terminal

Chat with any LLM with full memory across every session. Zero configuration.

npx vektor chat                          # start chat (auto-detects Ollama)
npx vektor chat --provider claude        # use Anthropic Claude
npx vektor chat --provider groq --model llama-3.3-70b-versatile
npx vektor chat --provider gemini
npx vektor chat --provider openai

Providers

Provider	Details
ollama	Default — free, local, no API key. Auto-detects best installed model.
claude	Anthropic Claude — set ANTHROPIC_API_KEY
openai	OpenAI GPT — set OPENAI_API_KEY
groq	Groq LLaMA — set GROQ_API_KEY (free tier available)
gemini	Google Gemini — set GEMINI_API_KEY

Set a permanent default:

# Windows
$env:VEKTOR_PROVIDER = "claude"

# macOS/Linux
export VEKTOR_PROVIDER=claude

In-chat commands

Type / to see available commands with autocomplete. Tab to select, arrow keys to navigate.

Command	Action
/recall <query>	Search MAGMA memory mid-conversation
/stats	Show memory node count, edges, pinned
/briefing	Generate memory briefing inline
/exit	Exit chat (Ctrl+C also works)

One-liner commands

# Store a fact
npx vektor remember "I prefer TypeScript over JavaScript"
npx vektor remember "deadline is Friday" --importance 5

# Pipe support
cat meeting-notes.txt | npx vektor remember

# One-shot recall + LLM answer
npx vektor ask "what stack am I using?"
npx vektor ask "what did we decide about the database?"

# Autonomous goal executor
npx vektor agent "summarise everything I know about project Alpha"
npx vektor agent "research AI memory tools" --steps 15 --provider groq

Ollama auto-detection

VEKTOR queries http://localhost:11434/api/tags and picks the best available model: qwen3 → qwen2 → llama → mistral → first available.

Override:

$env:OLLAMA_MODEL = "qwen3.5:4b"
export OLLAMA_MODEL=qwen3.5:4b

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All CLI Commands

npx vektor setup      # First-run wizard — licence, hardware, integrations
npx vektor activate   # Activate licence key on this machine
npx vektor test       # Test memory engine with progress bar
npx vektor status     # System health check
npx vektor mcp        # Start Claude Desktop MCP server
npx vektor rem        # Run REM dream cycle
npx vektor chat       # Persistent memory chat (all LLMs)
npx vektor remember   # Store a fact
npx vektor ask        # Query memory + LLM answer
npx vektor agent      # Autonomous goal executor
npx vektor help       # All commands

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Claude Desktop Extension (DXT)

Install the .dxt extension for zero-config memory in every Claude Desktop session.

Install: drag vektor-slipstream.dxt onto the Claude Desktop Extensions page.

Once installed, Claude automatically:

• Recalls relevant context at session start
• Stores facts and decisions during conversation
• Summarises at session end

All 28 tools are available in Claude Desktop — no configuration needed beyond your licence key.

User config fields:

Field	Purpose
licence_key	Your Polar licence key (required)
db_path	Memory DB path (defaults to ~/vektor-slipstream-memory.db)
project_path	Default path for cloak_cortex project scanning (optional)

Download the latest .dxt from vektormemory.com/docs/dxt.

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MCP Tools — All 28

Memory Tools

Tool	Function
vektor_recall	Semantic search across MAGMA graph
vektor_store	Store memory with importance score
vektor_graph	Traverse associative memory graph
vektor_delta	See what changed on a topic over time
vektor_briefing	Generate morning briefing from recent memories

CLOAK Core

Tool	Function
cloak_fetch	Stealth headless browser fetch via Playwright
cloak_fetch_smart	Checks llms.txt first, falls back to stealth browser
cloak_render	Full CSS/DOM layout sensor
cloak_diff	Semantic diff of URL since last fetch
cloak_diff_text	Structural diff between two text blobs
cloak_passport	AES-256-GCM credential vault (get/set/delete/list)
tokens_saved	Token efficiency ROI calculator

Identity Tools

Tool	Function
cloak_identity_create	Create persistent browser fingerprint identity
cloak_identity_use	Apply saved identity to a fetch call
cloak_identity_list	List all saved identities with trust summary

Behaviour Tools

Tool	Function
cloak_inject_behaviour	Human mouse/scroll injection for reCAPTCHA/Cloudflare bypass
cloak_behaviour_stats	List available patterns and categories
cloak_load_pattern	Load custom recorded behaviour pattern
cloak_pattern_stats	Self-improving pattern store tier breakdown
cloak_pattern_list	List patterns with scores and tier
cloak_pattern_prune	Remove stale/low-scoring patterns
cloak_pattern_seed	Seed store with built-in patterns

CAPTCHA Tools

Tool	Function
cloak_detect_captcha	Detect CAPTCHA type and sitekey
cloak_solve_captcha	Solve via vision AI (Claude/GPT-4o/2captcha)

Compression & Cortex Tools

Tool	Function
turbo_quant_compress	PolarQuant vector compression (~75% smaller)
turbo_quant_stats	Compression ratio and savings stats
cloak_cortex	Scan project directory into MAGMA entity graph
cloak_cortex_anatomy	Get cached file anatomy without rescanning

---

Claude Code Setup

Add to .claude/settings.json in your project:

{
  "mcpServers": {
    "vektor": {
      "command": "node",
      "args": ["/path/to/node_modules/vektor-slipstream/index.js"],
      "env": {
        "VEKTOR_LICENCE_KEY": "your-licence-key",
        "CLOAK_PROJECT_PATH": "/path/to/your/project"
      }
    }
  }
}

All 28 tools are available in Claude Code via this config.

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What's Included

### Memory Core (MAGMA)

• 4-layer associative graph — semantic, causal, temporal, entity
• AUDN curation loop — zero contradictions, zero duplicates
• REM dream cycle — up to 50:1 compression
• Sub-20ms recall — HNSW index, local SQLite
• Local ONNX embeddings — $0 embedding cost, no API key required

Integrations

• Claude Desktop — DXT extension, 28 tools, auto-memory system prompt
• Claude Code — MCP server, all 28 tools
• CLI — chat, remember, ask, agent commands
• LangChain — v1 + v2 adapter included
• OpenAI Agents SDK — drop-in integration
• Gemini · Groq · Ollama — provider agnostic

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Performance

Metric	Value
Recall latency	~8ms avg (local SQLite)
Embedding cost	$0 — fully local ONNX
Embedding latency	~10ms GPU / ~25ms CPU
First run	~2 min (downloads ~25MB model once)
Subsequent boots	<100ms

Hardware Auto-Detection

Zero config. VEKTOR detects and uses the best available accelerator:

• NVIDIA CUDA — GPU acceleration
• Apple Silicon — CoreML
• CPU — optimised fallback, works everywhere

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Licence

Commercial licence. One-time payment of $159. Activates on up to 3 machines. Manage at polar.sh.

Purchase: vektormemory.com/product#pricing
Docs: vektormemory.com/docs
Support: hello@vektormemory.com

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Research

Built on peer-reviewed research:

• MAGMA (arxiv:2601.03236) — Multi-Graph Agentic Memory Architecture
• EverMemOS (arxiv:2601.02163) — Self-Organizing Memory OS
• HippoRAG (arxiv:2405.14831) — Neurobiologically Inspired Long-Term Memory (NeurIPS 2024)
• Mem0 (arxiv:2504.19413) — Production-Ready Agent Memory