RoBrain is open-source shared memory for teams using AI agents. It captures every decision and the alternatives you ruled out — automatically, across every developer's sessions — and flags when a new decision contradicts an old one. Your team revisits past decisions intentionally, with the original rationale in front of them, instead of re-litigating from zero. Works across Claude Code, Cursor, and Copilot.
Hey Product Hunt 👋 I built RoBrain because I kept watching my AI agent re-suggest things my team had already ruled out. Every new session, a clean slate — and a clean slate means re-litigating decisions we'd already made. The fix everyone reaches for is CLAUDE.md (or its equivalent for other agents). It works for a week, then drifts. Nobody updates it. Claude Code's Auto-Memory writes notes automatically now, but they live on your laptop — your teammates' agents have no idea what you decided. And critically — none of these capture the vetoes. The reasons something was rejected. That's the part that matters most when an agent suggests the same idea three months later. RoBrain captures decisions as structured data, including what was rejected and why: json{ "decision": "Use Zustand for state management", "rationale": "Redux caused re-render issues in cart", "rejected": [{ "option": "Redux", "reason": "re-render perf issues in cart" }], "files_affected": ["src/store/cart.ts"] } Every developer's sessions feed one shared decision history. Next time your teammate's agent suggests Redux, RoBrain surfaces the prior rejection with the original rationale — so your team revisits intentionally instead of from zero.
I just saw your live demo at The AI Collective's Demo Night last night. I am building a web app right now and despite my claude.md, agent.md, and readme.md files clearly stating what not to do, they do it anyway. Recently, after fixing a large bug and paying for the fix, it was reintroduced. Will your product help me with my team of one?
I jump between Claude Code, Cursor, and Codex all day and the painful part isn’t the models, it’s context. None of your sessions share the same brain, so you end up patching CLAUDE.md and Cursor rules just to repeat yourself.
RoBrain captures more than “what we picked”: it keeps the reasons, the rejected options, and the team context — so when someone else (and their agent, in their stack) takes over, you’re not re-litigating yesterday’s architecture debate from a blank chat.
About RoBrain on Product Hunt
“Shared AI memory that stops agents from repeating mistakes”
RoBrain launched on Product Hunt on May 14th, 2026 and earned 65 upvotes and 7 comments, placing #47 on the daily leaderboard. RoBrain is open-source shared memory for teams using AI agents. It captures every decision and the alternatives you ruled out — automatically, across every developer's sessions — and flags when a new decision contradicts an old one. Your team revisits past decisions intentionally, with the original rationale in front of them, instead of re-litigating from zero. Works across Claude Code, Cursor, and Copilot.
RoBrain was featured in Developer Tools (512.4k followers), Artificial Intelligence (468.5k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 182.5k products, making this a competitive space to launch in.
Who hunted RoBrain?
RoBrain was hunted by Adelina Martiniuc. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how RoBrain stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Adelina Martiniuc
Hey Product Hunt 👋
I built RoBrain because I kept watching my AI agent re-suggest things my team had already ruled out. Every new session, a clean slate — and a clean slate means re-litigating decisions we'd already made.
The fix everyone reaches for is CLAUDE.md (or its equivalent for other agents). It works for a week, then drifts. Nobody updates it. Claude Code's Auto-Memory writes notes automatically now, but they live on your laptop — your teammates' agents have no idea what you decided.
And critically — none of these capture the vetoes. The reasons something was rejected. That's the part that matters most when an agent suggests the same idea three months later.
RoBrain captures decisions as structured data, including what was rejected and why:
json{
"decision": "Use Zustand for state management",
"rationale": "Redux caused re-render issues in cart",
"rejected": [{ "option": "Redux", "reason": "re-render perf issues in cart" }],
"files_affected": ["src/store/cart.ts"]
}
Every developer's sessions feed one shared decision history. Next time your teammate's agent suggests Redux, RoBrain surfaces the prior rejection with the original rationale — so your team revisits intentionally instead of from zero.