Built an AI cofounder that remembers my startup's context between sessions
Every AI tool I tried gave me good one-off answers, then reset to zero the next session, so I kept re-explaining my own company to it. Built Pythe to fix that specific thing: give it a goal, it builds a staged roadmap (Ideation to Scale) and actually retains your positioning, ICP and competitors across sessions instead of forgetting.
It also ships via MCP/REST so it can sit inside Claude, ChatGPT, Cursor or Lovable instead of being another tab to remember to open.
Live at pythe.app, first 50 founders get 30% off for life while I figure out pricing. Would genuinely value feedback from people who've actually shipped something here, good or brutal.
Nice post!
The “push back like a cofounder” part is what caught my attention. Remembering context is useful, but having the AI actually tell you when an idea probably isn’t worth building seems much more valuable. Have you found that founders prefer the pushback, or do they mostly use it for brainstorming?
This sounds like a general-purpose memory layer. I'm wondering how it differs from other memory layer applications out there.
I've actually been following a lot of memory layer apps, but I haven't really found any practical use cases yet because I can just have AI read my website directly. Plus, tools like Codex or Claude already have built-in memory that remembers these things.
The only real difference would be whether there is a way to flexibly switch between different software. For example, once I've built up enough memory in one tool, can I just switch directly to another?
This hits home — I got tired of re-explaining my own company to every AI tool too. Respect for shipping Pythe and taking the feedback loop on the chin; the "push back like a cofounder" angle is genuinely the strongest part, and context is what makes that pushback relevant. Curious what context you persist — positioning doc, ICP notes, competitor matrix? I solve the same problem from the other direction: plain-text CLAUDE and SKILL instruction files that travel with the repo, so any agent reads the same context every session. Packaged 76+ of those workflows into $7 packs.
The 'remembers between sessions' pitch is the right one to lead with, that reset-to-zero problem with every AI tool is real and something I've felt myself. One thing I'd push on: 'ships via MCP/REST so it sits inside Claude, ChatGPT, Cursor or Lovable' is a strong technical differentiator, but it's buried after the roadmap pitch, that integration point is probably the actual reason someone switches from just re-explaining context every time, I'd lead with that rather than the staged roadmap feature.
The persistent context and staged roadmap approach sounds genuinely useful, especially for founders who are tired of repeating the same company details every session. MCP/REST support is also a nice touch. I’d be interested to see how well the context retention works as a startup evolves.
The memory solves a real annoyance, but I’m curious whether founders actually make different decisions because Pythe remembers the context, or whether it mainly saves them from re-explaining the same things each session.
Addendum since a few people asked what actually makes this different: the memory part is just plumbing. The main thing Pythe does is generate the staged roadmap and push back like a cofounder would ("this isn't worth building yet, do X first") - the fact that it retains context between sessions is what lets it do that well, not the feature itself. Should have led with that.