ShogunAI

Your personal AGI on your PC. Built to finish real work.

Mac

Productivity

Artificial Intelligence

HI, Product Hunt first of all, a definition, since the term is doing a lot of work in our tagline By personal AGI I don't mean human-level intelligence rather i mean general across your work rather than narrow to a single task its one agent that spans your whole day, holds the state of it, and acts on that state the bet underneath is this- The models are already smart enough for most of what you do, what they're missing isn't IQ it's you and the memory of what you do, your context is scattered across a dozen tools, and the only thing holding it together is your own memory and your patience You re-explain the project, paste the thread, repetitively remind it who this person is, and then do the last mile by hand anyway. the bottleneck moved, and most products haven't I don't think I'm alone in reading it that way Garry Tan has stressed upon it this year telling founders that the leverage sits in your context rather than in the model same weights, same window, yet wildly different output depending on what surrounds it. even Sam Altman keeps describing where OpenAI is going in nearly the same terms: less chasing raw IQ,and more of understanding your whole context and remembering it, with that memory as the durable advantage. When the person who sees the most startups and the person shipping the most-used model arrive at the same layer from opposite directions, the layer is real which leaves the question that actually matters- where should that context live? and that's where we answer differently ShogunAI keeps one state of your work,- the people, the projects, the promises, the things still open- all assembled from your very own day and held inside your own machine rather than in someone else's account. then it spends that state on finishing tasks The reply arrives already drafted, knowing what you promised last month. A meeting ends with the next step instead of a transcript. The morning opens with what moved overnight and what needs to be done ahead you bring your own model, and you keep the memory either way One rule I won't trade away: reading is automatic, sending never is Anything addressed to another person stops and waits for your approval Today it's built for one person,which is you Team and enterprise plans are on the roadmap, because shared context is worth more than private context, and most of the work that gets stuck is stuck between people The build that runs today is macOS; Windows and mobile are being built. What I'd genuinely like from this thread: Tell me where the argument breaks. Is context really your bottleneck, or is it something else entirely? Tell me your version of the problem -what you find yourself re-explaining every week Tell me which integration would decide it. Name the tool that has to be connected before this is worth having, and it moves up the list And tell me honestly- would you leave something like this running for a full week? If not, what stops you?