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QuietOS
A runtime governor for AI agents, built on a 4GB phone
QuietOS sits between any AI model and its tools, enforcing deterministic safety gates on every action. Three tiers: ALLOW (safe), ESCALATE (needs human approval), BLOCK (destructive — never executes). No LLM in the enforcement loop. Built on a 4GB Motorola for ~$115. Brain-agnostic — same gates held under Groq 120B and Gemini under adversarial attack. Red-teamed: 18 attacks, 15 blocked, 3 holes patched same session, zero bypasses standing. pip install quietos. MIT, zero dependencies.
Hey Product Hunt! I'm Jon, and I built QuietOS on a Motorola with 4GB of RAM for about $115 total.
Most AI safety work tries to make the model smarter. I went the other direction: stop trusting the brain entirely. QuietOS sits between any model and its tools, enforcing deterministic safety gates — ALLOW, ESCALATE, or BLOCK. No LLM in the enforcement loop.
I red-team my own system and publish the proof log: 18 attacks, 15 blocked, 3 holes patched same session, zero bypasses standing.
pip install quietos. MIT, zero dependencies. Try to break it — that's the point.
About QuietOS on Product Hunt
“A runtime governor for AI agents, built on a 4GB phone”
QuietOS was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #152 on the daily leaderboard. QuietOS sits between any AI model and its tools, enforcing deterministic safety gates on every action. Three tiers: ALLOW (safe), ESCALATE (needs human approval), BLOCK (destructive — never executes). No LLM in the enforcement loop. Built on a 4GB Motorola for ~$115. Brain-agnostic — same gates held under Groq 120B and Gemini under adversarial attack. Red-teamed: 18 attacks, 15 blocked, 3 holes patched same session, zero bypasses standing. pip install quietos. MIT, zero dependencies.
On the analytics side, QuietOS competes within GitHub, Development and Security — topics that collectively have 50.7k followers on Product Hunt. The dashboard above tracks how QuietOS performed against the three products that launched closest to it on the same day.
Who hunted QuietOS?
QuietOS was hunted by Jon Dean. 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 QuietOS including community comment highlights and product details, visit the product overview.
Jon Dean