llongterm: Long-term Memory for AI

llongterm

3.5 | 291 | 0
Type:
Website
Last Updated:
2025/08/20
Description:
llongterm provides long-term memory for AI apps & agents, integrating with chatbots and offering features like knowledge maps and self-structuring.
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AI memory
chatbot
AI agent

Overview of llongterm

What is llongterm?

Llongterm is a service that provides long-term memory for AI applications and agents. It allows AI chatbots and agents to remember details over extended periods, improving their ability to provide personalized and relevant responses.

Key Features:

  • Mind as a Service: Spin up an AI Mind for every user conversation.
  • Knowledge Map: Minds use a knowledge map to remember details over years.
  • Self Structuring: Minds structure themselves to build a dynamic taxonomy of their world.
  • Timeline: Minds use a virtual timeline to place events in time and space.
  • Scalable: Minds are automatically pruned and optimized as they grow.
  • Sharable: Minds can be shared between applications and services.
  • Observable: Minds are designed to be human readable, no magic.

How to Use llongterm:

Llongterm is designed to be compatible with all AI chatbots and agents. The provided code snippet shows a simple example of how to use it with Javascript or Python. The core idea is to create a mind for your users, pass conversation threads to it, and let it remember the information.

Use Cases:

Llongterm can be used in a variety of AI applications, including:

  • AI Teaching Assistant
  • AI Customer Support
  • AI Therapy Notes
  • AI Product Manager

Why is Llongterm Important?

Without long-term memory, AI agents can quickly forget past interactions, leading to frustrating and impersonal experiences. Llongterm addresses this limitation by providing a scalable and observable memory solution, enabling AI applications to deliver more intelligent and engaging interactions.

Best way to integrate llongterm?

Consider using the API to integrate into your own AI chatbot or application using the examples in the documentation.

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