MindSharedAI – Unified memory across multiple AI providers

Summary: MindSharedAI maintains a continuous conversation history across AI models like ChatGPT, Perplexity, and Claude, enabling context retention when switching between providers. It dispatches queries to multiple LLMs simultaneously and aggregates their responses into a single coherent reply, all within an open-source framework.

What it does

MindSharedAI stores per-user conversation history and sends queries to several AI providers in parallel. It then combines their answers into one unified response, preserving context across sessions and models.

Who it's for

It is designed for users who interact with multiple AI language models and need consistent context without repeating information.

Why it matters

It solves the problem of losing conversational context when switching between different AI tools, improving continuity and efficiency.