MindSharedAI is different because it keeps one continuous memory across multiple AI providers like ChatGPT, Perplexity, and Claude, instead of isolating each conversation. Most tools either wrap a single API or just call multiple models without managing context. MindSharedAI stores per-user history, dispatches queries to several LLMs at once, and then aggregates their answers into a single, coherent reply—all open‑source and easy to extend with new providers.
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This started from a real pain yesterday when my ChatGPT subscription expired and I switched to Perplexity Pro. I realized every time I moved between tools, I lost all my context and had to repeat myself.
So I built MindSharedAI as a unified context layer:
One continuous memory across ChatGPT, Perplexity, Claude (and more soon)
Queries are sent to multiple providers in parallel
Responses are aggregated into a single coherent answer
Your conversation history is stored and reused across providers
This is a very early MVP:
Python backend + Streamlit UI
Open-source (MIT) on GitHub
Designed to be easy to extend with new providers
I’d love feedback on:
What’s the most useful real-world workflow for you?
Which providers should be added next?
Would a Chrome extension (sidebar inside ChatGPT/Perplexity) be valuable?
Repo: github.com/bhusingh/mindshared
Happy to answer any questions and very open to contributors!
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