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Meet Integrated Model Memory: Cross-Model Caching

· 2 min read
Shawn Gregg
Shawn Gregg
CTO of Neuronic AI
New Feature

Introducing Integrated Model Memory (IMM) - Now in Beta! 🧠✨​

We're excited to announce Integrated Model Memory (IMM) – a powerful, plug-and-play memory solution that seamlessly integrates across all supported AI models! With just a simple parameter, developers can now enable persistent memory across sessions and models, eliminating the need for complex memory management.

Key Benefits​

  • ✅ Works across 300+ models
  • ✅ No extra setup—just enable memory!
  • ✅ Persistent context retention across conversations
  • ✅ Multi-user session support

Quick Start Guide​

What is IMM?​

IMM is our implementation of Cache Augmented Generation (CAG), but unlike traditional CAG systems, IMM works across all models! You can start a conversation with GPT-4, switch to Claude, and finish with Mistral, all while maintaining full context.

Key Features​

  • Easy Implementation – Just add "memory": 1 to your API calls!
  • Advanced Session Management – Isolated memory for different users or use cases
  • Smart Memory Controls – Set expiration times, manage memory efficiently
  • Cross-Model Context Retention – Seamless transition between AI models
  • Developer-Friendly – No vector DB needed, fully managed memory

IMM remembers your past conversations—no need to re-send context!

Cross-Model Memory in Action​

  1. Start with GPT-4
  2. Continue with Claude
  3. Switch to Mistral

Your conversation context remains intact across all models! IMM ensures full session continuity even when switching providers.

Beta Now Live – Help Us Improve!​

Please report bugs so we can refine and improve IMM.

Happy building,

The APIpie Team 🎉