Now in Private Beta

Your AI Forgets.
VectorVaultAI Remembers.

The fastest, most affordable vector memory layer for AI apps. Store anything. Recall by meaning. Ship in minutes — hot weeks.

Start Building Free → See how it works
# Store any knowledge in seconds
from vectorvault import VaultClient

vault = VaultClient(api_key="vv_...")

# Save a memory
vault.remember(
  "User prefers dark mode and concise responses",
  tags=["preferences", "ui"]
)

# Retrieve semantically similar memories
results = vault.recall("user interface preferences")
# → [{"content": "User prefers dark mode...", "score": 0.97}]

Trusted by builders at

Notion Vercel Stripe Linear Figma Supabase
Features

Everything your AI needs
to remember

Built for developers who want semantic memory in their apps without managing vector databases.

🧠

Semantic Vector Search

Search by meaning, not keywords. Find the exact context your AI needs using high-dimensional embeddings and cosine similarity.

⚡

Sub-10ms Retrieval

Optimized pgvector indexes and intelligent caching deliver recall in milliseconds — even at millions of stored memories.

🔒

Namespaced & Isolated

Every user, session, and agent gets its own memory namespace. No cross-contamination. Enterprise-grade data isolation built in.

🔌

Drop-in SDK

Python, TypeScript, and REST. Add persistent memory to LangChain, LlamaIndex, or any custom agent in under 10 lines of code.

🏷️

Rich Metadata & Tags

Tag, timestamp, and annotate every memory. Filter recalls by project, type, date range, or custom metadata fields.

📊

Memory Analytics

Track what your AI remembers, how often it recalls, and which memories matter most — with a real-time dashboard.

10ms
Avg. recall latency
99.9%
Uptime SLA
1B+
Vectors supported
3 lines
To add memory to any app
How it works

Memory for AI,
made simple

Three primitives. Infinite possibilities.

1

Store any knowledge

Call vault.remember() with text, metadata, and tags. We embed and index it automatically.

2

Recall by meaning

Ask vault.recall("query") and get back the most semantically similar memories — ranked by relevance.

3

Inject into context

Feed recalled memories directly into your LLM's system prompt. Your AI now knows what it needs to know — every time.

🔍  "user dashboard preferences"
💡
Decision
User prefers dark mode and compact card layout on dashboard
0.97
📌
Rule
Always show analytics charts by default on the main view
0.91
🗂️
Context
User has 3 active projects — skips onboarding wizard each time
0.87
3 memories recalled · 8ms · vectorvaultai.com
✦ New · Agent Studio

Build & Deploy AI Agents
Without Writing a Line of Code

VectorVaultAI Agent Studio gives enterprise teams a visual drag-and-drop canvas to design, connect, and deploy production-ready AI agents — powered by your own data and memory.

🧩
Drag-and-drop node canvas — connect triggers, memory, LLMs, and actions visually
🧠
Built-in VectorVaultAI memory — every agent remembers context across sessions
🚀
One-click deploy to cloud, on-prem, or AWS Marketplace
🔒
Enterprise-grade SSO, RBAC, audit logs, and VPC isolation
🔌
Pre-built connectors — Slack, Salesforce, Jira, ServiceNow, and more
Request Enterprise Demo → View Docs
Agent Studio — Support Bot v2
Nodes
⚡ Trigger
🧠 Memory
🤖 LLM
📤 Action
🔌 Slack
📊 CRM
🗂 Jira
📧 Email
⚡ User Message
Slack / API / Web
🧠 Recall Memory
top_k=5, user ns
📋 Load Context
CRM + ticket data
🤖 GPT-4o
system + memory ctx
💬 Reply
Send to Slack
📌 Save Memory
vault.remember()
Agent running · 142ms avg
🏢 Enterprise-ready
🔐 SOC 2 Type II (in progress)
☁️ AWS Marketplace (coming soon)
🔑 SSO / SAML
🍊 Audit Logs
🌐 VPC Deployment
🔒 New · Mac App

Private Meeting Intelligence
for your Mac

Krypt AI transcribes and summarizes every meeting — entirely on your Mac. No cloud, no subscription, no data leaving your device. Ever. Powered by WhisperKit + Qwen3, both running on Apple Silicon.

😙️
On-device transcription via WhisperKit — 99 languages, works offline
🤖
AI summaries via Qwen3 — key points, decisions, action items
🔒
Zero cloud calls — audio, transcripts and summaries stay on your Mac
⚡
Auto-detects Zoom & Teams — floating prompt, one click to record
💰
One-time purchase, $19.99 — no subscription, yours forever
↓ Download Free Buy Pro — $19.99 → macOS 14+ · Apple Silicon

✓ Free for your first 10 meetings  Â·  No credit card required to start

Krypt AI
😙️
Recording — listening
Past Meetings
Team Standup
Discussed sprint tasks...
Client Call
Product roadmap Q3...
Design Review
Approved new layouts...
Team Standup
📅 Today 9:00 AM ⏱ 24 min 🎙 In Person
Team aligned on P2 release date; backend blocked on auth service fix.
Key Points
• P2 release targeted for Friday
• Auth hotfix needed before deploy
• Design assets approved ✓
Action Items
☐ Fix auth service — Dev team
☐ Deploy P2 build by Thursday
🔒 100% on-device · never sent to cloud macOS 14+ · Apple Silicon
Pricing

Up to 60% less than competitors

No per-query fees. No hidden egress costs. Just straightforward storage-based pricing.

Pinecone ~$70/mo per 10M vectors Weaviate ~$135/mo per 10M vectors Qdrant ~$65/mo per 10M vectors
Deploy directly into your AWS account — VPC, IAM, and all.
Coming Soon
Starter
$0 / mo
Build and experiment. No credit card required.
  • 1M vectors stored
  • 100K recalls / month
  • 3 namespaces
  • Python & REST SDK
  • Community support
Get Started Free
Most Popular
Pro
$39 / mo
Production-ready. ~40% less than Pinecone or Qdrant.
  • 10M vectors stored
  • Unlimited recalls
  • Unlimited namespaces
  • TypeScript + Python SDKs
  • Analytics dashboard
  • No per-query fees
  • Priority email support
Start Pro Trial →
Enterprise
Custom
Dedicated infrastructure, SLAs, and AWS Marketplace billing.
  • Unlimited vectors
  • Dedicated cluster
  • SSO & RBAC
  • AWS Marketplace deploy
  • 99.99% SLA
  • Dedicated support
Contact Sales

Give your AI a
memory it keeps

Join the waitlist — early access + 3 months of Pro free.

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