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Welcome to MemSync

MemSync is a portable memory platform that elevates AI applications from stateless interactions to intelligent, context-aware experiences with persistent long-term memory. It also enables users to seamlessly transfer context and data across different applications into your app.

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Why MemSync?

Traditional AI applications don’t have cross-session context. MemSync provides state-of-the-art memory infrastructure that can:
  • Extract meaningful facts from conversations automatically
  • Store long-term memories in organized, searchable formats
  • Provide semantic search to find relevant context instantly
  • Build user profiles that evolve over time
  • Import external cross-application context from other AI chat and social media apps

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Quick Start

Get started with MemSync in minutes:

Quickstart Guide

Set up MemSync and make your first API call in under 5 minutes

API Reference

Explore the complete API documentation with examples

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Core Features

Memory Management

Learn about semantic and episodic memories, how they’re extracted and stored

Smart Categories

Organize memories into categories like work, hobbies, relationships, and more

Semantic Search

Find relevant memories using natural language queries with vector search

User Profiles

Auto-generate user bios and profiles from accumulated memories

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Integrations

Connect MemSync with your existing tools and data sources:

Social Media

Import context from LinkedIn, Twitter, and Reddit

Documents

Process PDFs, Word docs, and other files

Chat History

Import conversations from ChatGPT and other platforms

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Example Use Cases

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Personalized Chatbots

  • Remember customer preferences and past issues
  • Provide contextual support based on interaction history
  • Track customer journey and satisfaction

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Customer Support

  • Remember customer preferences and past issues
  • Provide contextual support based on interaction history
  • Track customer journey and satisfaction

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Educational Platforms

  • Track learning progress and preferences
  • Personalize curriculum based on user goals
  • Remember areas of difficulty and success

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Getting Started

Ready to build your first personalized AI with memory retrieval? 
# Get relevant memories for context
memories = memsync.search_memories(
    query="What's the latest news related to my educational interests?",
    user_id="user123",
    limit=5
)

# Use memories to personalize response
context = "\n".join([m.memory for m in memories])
response = llm.generate(context=context, message=user_message)

Start Building

Follow our quickstart guide to set up MemSync and make your first API call
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