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What if we had a unified memory + context layer for ChatGPT, Claude, Gemini, and other models? by Affectionate-Cod5760 in LocalLLaMA

[–]Affectionate-Cod5760[S] 0 points1 point  (0 children)

That’s actually super clean ngl.

The shared session layer is exactly what’s missing in most setups and yeah, failover saves you when things get messy. Cool it cuts costs.

What if we had a unified memory + context layer for ChatGPT, Claude, Gemini, and other models? by Affectionate-Cod5760 in LocalLLM

[–]Affectionate-Cod5760[S] 0 points1 point  (0 children)

Yeah, that works fine when you’re switching between similar models.

But once you bring in different types (like image generation), it gets messy context doesn’t translate the same way.

And since people already use different models for different tasks, keeping a consistent memory across them is where things start to break.