memorycore-ai 0.4.0

Universal memory engine for AI bots. 3 layers: Redis (Hot) + Qdrant (Warm) + Neo4j (Cold). FZ-152 compliant.

Memory Core SDK

Universal memory engine for AI bots. 3 layers: Redis (Hot) + Qdrant (Warm) + Neo4j (Cold).

Quick Start

pip install memory-core

from memory_core import MemoryClient

memory = MemoryClient("mc_live_...")

# Bot remembers
memory.upsert(user_id="user_42", content="Люблю итальянскую кухню")

# Bot recalls
ctx = memory.context(user_id="user_42", query="что заказать на ужин?")
# → Hot: fresh messages
# → Warm: "итальянская кухня" (score: 0.82)
# → Cold: user knowledge graph

Async (for aiogram, FastAPI)

pip install memory-core[async]

from memory_core import AsyncMemoryClient

memory = AsyncMemoryClient("mc_live_...", bot_id="my_bot")

await memory.upsert(user_id="user_42", content="Предпочитает SPA")
ctx = await memory.context(user_id="user_42", query="что предложить?")

API

Method	Description
upsert(user_id, content)	Save to memory (Hot+Warm+Cold)
context(user_id, query)	Retrieve relevant context
remember(user_id, fact)	Shortcut: save a fact
recall(user_id, query)	Shortcut: semantic search
summarize(user_id)	Summarize session into episode
profile(user_id)	Full user profile
health()	API health check

Links

• Landing: https://memorycore.ru
• API Docs: https://api.memorycore.ru/docs
• Dashboard: https://memorycore.ru/dashboard

License

MIT - (c) 2025-2026 Otel Group