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).
Most agent safety today is either hard-coded rules (impossible to maintain) or a human approving every step (doesn't scale). Kelhe is different: for every action an agent is about to take, it returns a risk score — before the action runs. That score maps to a clear decision: allow, hold for a human, or deny, each with the signals and reason behind it, fully auditable. It's one HTTP call — no SDK, no framework lock-in, any language. Fast scoring on every action, humans only when it matters.
Hey Product Hunt 👋
The interesting AI agents aren't the ones that answer questions — they're the ones that do things: send money, delete data, ship code, email customers.
The problem: once an agent decides to act, there's usually nothing checking whether it should. Most setups either trust the agent fully or make a human approve every step. Neither works in production.
Kelhe sits in that gap. Right before an agent takes an action, it asks Kelhe — and gets back a risk score for that exact action, plus a decision:
✓ Allow — safe and routine, run it
⏸ Hold — risky or unclear, send to a human first
✕ Block — crosses a hard line, stop it
Every score comes with the signals and reason behind it, so you can always answer "why did the agent do that?" It's a single HTTP request — no SDK, no framework lock-in, any language.
We're early and building in the open. We'd genuinely love to hear: what are you building agents to actually do — and where are the actions that scare you?
→ kelhe.com · [email protected] 🦊
No comment highlights available yet. Please check back later!
About Kelhe on Product Hunt
“Risk scoring for autonomous AI agents. ”
Kelhe was submitted on Product Hunt and earned 0 upvotes and 1 comments, earning #1 Product of the Day. Most agent safety today is either hard-coded rules (impossible to maintain) or a human approving every step (doesn't scale). Kelhe is different: for every action an agent is about to take, it returns a risk score — before the action runs. That score maps to a clear decision: allow, hold for a human, or deny, each with the signals and reason behind it, fully auditable. It's one HTTP call — no SDK, no framework lock-in, any language. Fast scoring on every action, humans only when it matters.
Kelhe was featured in SaaS (43k followers), Developer Tools (515.4k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 229.4k products, making this a competitive space to launch in.
Who hunted Kelhe?
Kelhe was hunted by Kelhe. 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 Kelhe stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.