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AIeph
The shared cache for AI coding agents
AI agents keep generating the same answers over and over. AIeph is a shared knowledge cache for AI — starting with coding agents, built for a future where everyone asks AI. Semantic matching finds cached knowledge before a token is spent, reducing redundant processing, latency, cost, and energy. When there’s no confident match, AIeph stays silent and your model answers as usual. Add the MCP to Claude Code, Cursor, VS Code, or JetBrains. AIeph = AI + ALEPH (∞).
Hey Product Hunt 👋
I built AIeph because I noticed something strange about the AI era: thousands of AI agents can be solving the exact same problem independently, generating essentially the same answers again and again.
What if a useful answer didn't have to disappear into a single conversation?
That's the idea behind AIeph — a shared knowledge cache for AI coding agents. Ask once. Reuse everywhere. On a hit your agent gets a known answer instantly; on any doubt AIeph stays silent and your model answers as usual. No account, no API key — just add the MCP to Claude Code, Cursor, VS Code, or JetBrains.
And the reason we built it:
その回答、世界が待っている。 — Every answer, the world awaits.
It's still early, and honest about it. I'd love to hear what you think: what would you want an AI shared cache to remember?
About AIeph on Product Hunt
“The shared cache for AI coding agents”
AIeph was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #118 on the daily leaderboard. AI agents keep generating the same answers over and over. AIeph is a shared knowledge cache for AI — starting with coding agents, built for a future where everyone asks AI. Semantic matching finds cached knowledge before a token is spent, reducing redundant processing, latency, cost, and energy. When there’s no confident match, AIeph stays silent and your model answers as usual. Add the MCP to Claude Code, Cursor, VS Code, or JetBrains. AIeph = AI + ALEPH (∞).
On the analytics side, AIeph competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how AIeph performed against the three products that launched closest to it on the same day.
Who hunted AIeph?
AIeph was hunted by Keiichiro Koga. 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 AIeph including community comment highlights and product details, visit the product overview.
Keiichiro Koga