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).
I built memory-keeper after watching my AI hallucinate constantly. OpenClaw's default context management was trimming 95% of messages, destroying DeepSeek's prompt cache. My cache hit rate was 14% — the AI was basically reading 4% of the conversation and guessing the rest.
The fix was a 3-tier message archive that keeps the prefix stable. Now: 99.95% cache hit, <$0.001 per round, zero config changes.
It's open source, 5 minutes to set up. Happy to answer any questions!
About memory-keeper on Product Hunt
“99.9% DeepSeek cache hit, 3-tier context proxy”
memory-keeper was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #24 on the daily leaderboard. LghteihtNod.jsproy btwen penlw ad DeepSek AI. -tir rchvin fo 99.95%cace ht.
On the analytics side, memory-keeper competes within Open Source, Developer Tools and GitHub — topics that collectively have 625.4k followers on Product Hunt. The dashboard above tracks how memory-keeper performed against the three products that launched closest to it on the same day.
Who hunted memory-keeper?
memory-keeper was hunted by 黑暗森林. 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 memory-keeper including community comment highlights and product details, visit the product overview.
黑暗森林