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Suprflo
The world's most advanced memory layer for AI agents
Bi-temporal memory for AI agents. Extract facts from conversations, store them with full history, and recall with 92.1% LoCoMo accuracy. Postgres-native and benchmarked in the open.
While building AI systems, we noticed that most models lack the ability to retain context across interactions, leading to fragmented and inconsistent outputs. Existing solutions required complex custom implementations.
We built Suprflo to provide a simple, scalable memory layer that allows AI agents to remember, learn, and deliver better experiences over time.
About Suprflo on Product Hunt
“The world's most advanced memory layer for AI agents”
Suprflo was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #109 on the daily leaderboard. Bi-temporal memory for AI agents. Extract facts from conversations, store them with full history, and recall with 92.1% LoCoMo accuracy. Postgres-native and benchmarked in the open.
On the analytics side, Suprflo competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Suprflo performed against the three products that launched closest to it on the same day.
Who hunted Suprflo?
Suprflo was hunted by Laxman Sharma. 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.
For a complete overview of Suprflo including community comment highlights and product details, visit the product overview.
Laxman Sharma