Decision management platform for teams. Structure decisions, analyze options with built-in methods like SWOT and Weighted Scoring, vote as a team, and keep a documented trail of every decision.
Magnesia is a NotebookLM alternative built for deep, continuous research conversations with documents, source views, notes, citations, context control, and BYOK usage.
Magnesia is a NotebookLM alternative built for deep, continuous conversations. It lets users chat with documents, view sources side-by-side, take notes, and control context precisely in one research workspace that remembers the conversation.
The product was built around a specific pain point: NotebookLM is strong at analyzing documents, but it does not provide the kind of real, multi-turn chat experience that deep research often needs. Magnesia combines document analysis with conversational intelligence so researchers can build on prior insights instead of starting over with every isolated question.

Users can upload PDFs and source documents, ask questions, and explore their material through natural, continuous conversations. Magnesia supports multiple chat threads, chat memory and continuity, side-by-side source viewing, and inline citations that jump directly to the exact source location.
The workspace also includes markdown notes for capturing insights. Those notes can be mentioned as context in later conversations, helping researchers preserve ideas and reuse them across related questions. Users can choose which documents to include in each question, add images or PDF pages for visual analysis, and tune RAG parameters to match their workflow.
Magnesia is designed for graduate students, researchers, professionals, and knowledge workers who need serious document-based research conversations.
Magnesia focuses on real chat functionality, multi-threaded conversations, memory across turns, and a research workspace that supports source views, notes, citations, and precise context control.
Yes. The product is built around uploading PDFs and documents, asking questions, viewing sources, and using citations to connect answers back to source material.
Magnesia uses a one-time purchase plus BYOK model. The site currently highlights an early-bird price of $39 and bring-your-own-key usage for ongoing AI costs.
Website: https://magnesia-ai.com/
Company: Lam Nguyen
Decision management platform for teams. Structure decisions, analyze options with built-in methods like SWOT and Weighted Scoring, vote as a team, and keep a documented trail of every decision.
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