How to reduce token usage and costs in AI applications while maintaining conversation context

How to reduce token usage and costs in AI applications while maintaining conversation context

This task can be performed using Mem0 ai

โ€œAI Agents Forget. Mem0 Remembers.โ€

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Mem0 a

Mem0 ai

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Mem0 is a universal, self-improving memory layer for LLM-based applications, which stores and retrieves user interaction context to enable personalized AI experiences while cutting down token usage and costs.

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What to expect from an ideal product

  1. Stores conversation history outside the main chat so you don't need to send the same context over and over again with each request
  2. Automatically pulls relevant past conversations when needed instead of including everything in every API call to save tokens
  3. Learns from user interactions to build a permanent memory that gets smarter over time without requiring constant context refreshing
  4. Keeps track of user preferences and past topics so your app can pick up where it left off without expensive token-heavy summaries
  5. Reduces the need to send long conversation threads by maintaining a separate memory layer that feeds context only when relevant

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