This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Debugging multi-agent AI is hard. LangGraph gives you a span tree — but when something goes wrong you're still manually walking backwards to find which agent caused the cascade. Rifft automates that walk. It finds the first handoff where state went wrong, classifies the failure mode (tool loop, handoff mismatch, context overflow), and shows you the causal chain. Two lines to add to any LangGraph project.
I built this after spending too many hours staring at LangGraph trace trees trying to figure out which agent handoff introduced the bad state. The span tree tells you what happened, it doesn't tell you why or where it started.
Rifft is two lines to add to an existing LangGraph project. No config, no schema changes. Would love to hear from anyone who's been debugging multi-agent failures, what's the hardest part for you?
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About Rifft on Product Hunt
“Find which handoff broke your LangGraph agent”
Rifft was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #157 on the daily leaderboard. Debugging multi-agent AI is hard. LangGraph gives you a span tree — but when something goes wrong you're still manually walking backwards to find which agent caused the cascade. Rifft automates that walk. It finds the first handoff where state went wrong, classifies the failure mode (tool loop, handoff mismatch, context overflow), and shows you the causal chain. Two lines to add to any LangGraph project.
Rifft was featured in Open Source (68.6k followers), Developer Tools (515.4k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 193.7k products, making this a competitive space to launch in.
Who hunted Rifft?
Rifft was hunted by Ned . 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.
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Hey PH 👋 I'm Ned, founder of Rifft.
I built this after spending too many hours staring at LangGraph trace trees trying to figure out which agent handoff introduced the bad state. The span tree tells you what happened, it doesn't tell you why or where it started.
Rifft is two lines to add to an existing LangGraph project. No config, no schema changes. Would love to hear from anyone who's been debugging multi-agent failures, what's the hardest part for you?
Join the Discord if you want to share traces or get help: https://discord.gg/pXkqnAZsDt