MindSharedAI

What it does

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.

Contribute to bhusingh/mindshared development by creating an account on GitHub.

MindSharedAI maintains seamless, persistent user context across ChatGPT, Perplexity, and other LLM providers—synthesizing coherent responses that feel like talking to a single, informed assistant. git clone https://github.com/bhusingh/mindshared.git cd mindshared Create virtual environment python3 -m venv .venv Activate virtual environment source .venv/bin/activate # On Windows: .venv\Scripts\activate Install all dependencies pip install -r requirements.txt Set your OpenAI API key cp .env.example .env Edit .env and add your OpenAI API key nano .env Run the app streamlit run main.py Open your browser to http://localhost:8501from github.com

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