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Your memory, not your providers

AI models change.
Memory stays

Account blocked, model switched, provider gone — your accumulated context stays with you. One connection over MCP or API, and the assistant knows your clients, projects and agreements again. Hosted in Russia, FZ-152.

How it Works
main.py
# Add memory in 3 lines
from memory_core import MemoryClient
 
memory = MemoryClient("mc_live_...")
 
# Bot remembers
memory.upsert(user_id="user_42", content="I love Italian cuisine")
 
# Bot recalls
ctx = memory.context(user_id="user_42", query="what to order for dinner?")
# → Hot: fresh facts
# → Warm: "Italian cuisine" (score: 0.82)
# → Cold: user knowledge graph
<100ms
Hot Layer Response
3 Layers
Redis + Qdrant + Neo4j
0.96
Max Search Score
3 Lines
To Connect
Problem & Solution
Why Do Bots Forget?

Every conversation starts from scratch. Customers repeat themselves. Memory Core fixes this.

Without Memory Core
  • Bot forgets everything after restart
  • Customer repeats preferences every time
  • No connections between user facts
  • Context limited to current session
  • Personalization is impossible
With Memory Core
  • Memory persists forever across 3 layers
  • Semantic search by meaning, not keywords
  • Knowledge graph connects facts automatically
  • Context from entire conversation history
  • Every conversation continues where it left off
Architecture
Three Layers — One Memory

Every fact is automatically routed to the optimal storage layer.

Hot Layer
Redis
Instant access to fresh facts, recent messages, active context
<100ms
→
Warm Layer
Qdrant
Semantic search through vector embeddings. Finds relevant data from thousands of records
~200ms
→
Cold Layer
Neo4j
Knowledge graph: fact connections, user profiles, long-term insights
~300ms
Features
Everything Your Bot Needs

One API — complete memory system. No need to configure Redis, Qdrant, or Neo4j yourself.

Semantic Search

Search by meaning, not keywords. "What does the customer like?" finds "loves Italian cuisine" with score 0.82

DRUMS Classification

Automatic domain detection, task type identification, and content routing to the right storage layer

Knowledge Graph

Automatic relationship graph building. Neo4j discovers non-obvious connections between facts

Multi-tenancy

Complete data isolation by API keys. Each client sees only their data. Data stored in Russia (FZ-152)

Plans & Limits

Built-in rate limiting, record and request quotas. Free plan to get started

Stored in Russia

All data on servers in St. Petersburg, Russia. Full compliance with Russian data protection law (FZ-152)

EXPERIMENTAL

Wiki Mode — NEW v0.6

All your bot's conversational memory compiled automatically into Notion-like pages.

⌘K Search KB...
Alexander N.
VIP Client, prefers seaside

▼ Preferences

-95% LLM Tokens
O(1) context retrieval
+30% Answer Quality
Bot sees holistic picture
Auto-refresh
Wiki compiles in background
Try It
Semantic Search in Action

Enter a query — Memory Core finds relevant facts by meaning

Enter a query to see semantic search in action
Use Cases
Who Needs Bot Memory?

Memory Core works for any bot that communicates with users

Hospitality

Bot remembers guest preferences: room type, allergies, favorite activities

E-commerce

Recommendations based on full purchase and conversation history

Healthcare

Visit history, medical records, doctor preferences on every call

Education

Tutor bot remembers progress, weak areas, learning style

Pricing
Start Free, Scale Up

Start free. The free tier is open to everyone, everywhere.

Paid subscriptions are currently issued to customers in Russia only: payment runs through a Russian banking gateway (SBP / cards) in Russian roubles, the fiscal receipt is issued under Russian law, and the service agreement is in Russian. We would rather say this here than let you reach a checkout you cannot complete. Outside Russia — write to AIConnector@yandex.ru: we answer in English and arrange access individually.

Free
0 ₽
Free forever · available worldwide
  • 1 bot
  • up to 1 000 stored records
  • 1 000 requests/day
  • 1 000 records/mo
  • Hot + Warm layers
  • Community support
Starter
Paid tier
Russia only
  • 2 bots
  • up to 5 000 stored records
  • 3 000 requests/day
  • 2 000 records/mo
  • ✨ Wiki Mode (300 builds/mo)
  • All 3 memory layers
Ask about Starter
Popular
Pro
Paid tier
Russia only
  • 5 bots
  • up to 50 000 stored records
  • 5 000 requests/day
  • 12 000 records/mo
  • ✨ Wiki Mode (1 200 builds/mo)
  • All 3 layers + graph
Ask about Pro
Business
Paid tier
Russia only
  • Unlimited bots
  • up to 500 000 stored records
  • 30 000 requests/day
  • 24 000 records/mo
  • ✨ Wiki Mode (2 400 builds/mo)
  • Priority support
Ask about Business
Enterprise
Custom
By agreement
  • Unlimited everything
  • Dedicated instance
  • On-premise option
  • Personal manager
  • Availability agreed by contract
Contact Us

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