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  3. Memobase

Memobase

Profile-Based Long-Term Memory for AI Applications, enabling AI to remember and evolve with users.

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Introduction

Memobase

Memobase is a user profile-based memory system designed to bring long-term user memory to your Generative AI (GenAI) applications. Whether you're building virtual companions, educational tools, or personalized assistants, Memobase empowers your AI to remember, understand, and evolve with your users.

Key Features:
  • Memory for User, not Agent: Define and control exactly what user information your AI captures.
  • Time-aware Memory: Saves specific dates in profiles to prevent outdated information from affecting your AI.
  • Controllable Memory: Offers flexible configuration for designing user profiles.
  • Easy Integration: Minimal code changes required to integrate with existing LLM stacks using API, Python/Node/Go SDK.
  • Insert with Buffer: Provides a buffer for batch processing chats, making it fast and cost-effective.
  • Production Ready: Built with FastAPI, Postgres, and Redis, supporting request caching, authentication, and telemetry.
Benefits:
  • Enhance user experience by remembering user preferences and behaviors.
  • Improve AI interactions through personalized memory management.
  • Easy to set up and integrate into existing applications.
Highlights:
  • Supports multiple programming languages and offers a playground for testing.
  • Community support available through Discord and Twitter.
  • Licensed under Apache 2.0, encouraging contributions and collaboration.
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Information

  • Publisher
    AISecKit
  • Websitegithub.com
  • Published date2025/04/28

Categories

  • AI Application Platforms
  • AI Productivity Tools
  • AI Development Frameworks

Tags

  • Open Source
  • Generative AI

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