LLM's "memory plug-in" is here! Supermemory's new API: one line of code makes LLM memory "unlimited + save 90%"

The large model infinite memory plug-in is here!

Supermemory has just released the Infinite Chat API, which allows any LLM to have nearly infinite context length.

Users can switch to this API with just one line of code

Core pain point: LLMs context “ceiling”

As we all know, when processing long texts with more than 20,000 tokens (or even less), the performance of existing large models often drops significantly, and problems such as "amnesia" and comprehension bias occur. This greatly limits their application in scenarios that require persistent memory and deep context understanding.

Supermemoryai’s solution: Infinite Chat API

Supermemoryai's newly launched Infinite Chat API claims to be a perfect solution to this problem

Its core functions are simple and crude:

• • Extend the context length of any large model
• • At the same time, it helps you save up to 90% of Token consumption and costs
• • It also improves the responsiveness of the model

How does it work?

Official explanation: Infinite Chat API acts as a transparent proxy between your application and LLM . It intelligently maintains the conversation context and only sends the most critical information needed for the current interaction to LLM.

Essentially, RAG (retrieval-augmented generation) processing is performed on the overflowed previous context.

Easy integration : "One line of code to switch", minimal changes to existing applications

Available immediately : Already online, you can try it out right away

price:

• •  Free to start : Free trial quota
• • Fixed fee: $20 per month after trial period
• • Usage-based billing: In each conversation thread, the first 20,000 tokens are free, and the excess is charged at $1 per million tokens