Lyrio.ai
The AI Workspace for Complex Thinking
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Lyrio AI Workspace - The AI Workspace for Complex Thinking

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AI chat buries your thinking. Lyrio surfaces it. Branch conversations into parallel threads, pin key insights, synthesize research into structured output, and export polished docs — with full context intact across ChatGPT, Gemini, Grok, and more. One workspace for how you actually think — non-linear, connected, and always in context.

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Maker
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Hey Product Hunt 👋 CPO at Lyrio here — so excited to finally share this with you all 💛 We rebuilt Lyrio from the ground up because we kept hearing the same thing from users: "AI is powerful, but working with it is exhausting." Lost context, endless re-prompting, great ideas buried in infinite scroll, jumping between ChatGPT, Gemini, Grok just to compare answers… So we made Lyrio — an AI Workspace built for the way people actually think. We'd love your honest feedback — what works, what doesn't, what you wish existed. Every comment shapes where we go next 🙏 Thanks for checking us out today 💛 — Alyona
Daniel Nwankwo

Cool launch. People already jump between ChatGPT, Gemini, Grok naturally, but the workflow still feels fragmented, that's why I think this helps.

Maker

@daniel_nwankwo Thank you for the feedback! We are looking forward to adding more models, and all the context will travel with you, as always.

Danush Singla

Congrats on the launch, Alyona. The “AI chat buries your thinking” point is very real. I’ve lost useful ideas in long AI threads where I knew something good was in there, but didn’t want to dig back through everything.

I’m curious how you’re thinking about the main problem users are hiring Lyrio for. Is it mostly that people need a cleaner way to organize AI chats, or that they’re struggling to turn all that scattered thinking into something finished?

Maker

@danush_singla Organizing chats is a nice feature, but not the core, especially not the Lyrio v2 core. Making sure that all your context will be saved and stored, and you can always get back to insights in a couple of clicks - it is the most important! Lyrio doesn't rely on the context window, Lyrio builds a Research Memory instead of Context Windows. Context is stored in long-term research memory. Nothing disappears. Research you did three months ago is as accessible as research you did yesterday.

And I do agree that turning research into a meaningful finished result is also very important. Result that will take what YOU want and not what LLM decided for you to keep.

Manal Essalek

Linear chat histories are an absolute graveyard for deep research. Turning those chaotic conversations into a structured workspace with branching parallel threads and pinned insights across ChatGPT, Gemini, and Grok is a massive upgrade for power users.

Quick question: If I branch a thread from ChatGPT over to Gemini, how does Lyrio handle the context transfer? Does it automatically re-feed the relevant chat history and pinned insights behind the scenes?

Maker

@manal_essalek1 Yes. Lyrio's Approach: Research Memory Instead of Context Windows, so if you switch between models and between threads, all the context travels together with you. So if you start your research in GPT, continue in Gemini, and do parallel experiments in Grok - everything will be containerized in your Chat research memory, and you will not lose any insights. It is a core differentiator.

Instead of trying to fit your research into a limited prompt, Lyrio stores it externally, indexes it intelligently, and retrieves exactly what's needed at query time (dynamically). Instead of flooding the LLM with everything, Lyrio selects the most relevant knowledge from your research memory and builds a fresh, focused context for each response.

The result: Lyrio doesn't hit context limits, because it doesn't rely on a single context window.