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).
Cryptographic chain-of-custody. Court-supportable records. Rekor-anchored proof. Every action your agents take, bound to a workload identity, anchored on a public transparency log, independently verifiable by anyone. AIR isn't a guardrail, a governance dashboard, or a compliance checklist. It's the forensic substrate underneath — producing signed evidence the rest of the stack can consume. Built for EU AI Act Article 72 (Aug 2, 2026). Four shipping layers, pip install ready.
When an AI agent does something it shouldn't — wrong tool call, prompt injection, data going somewhere it shouldn't — most teams reach for logs.
Logs aren't evidence. Evidence has to be tamper-evident, independently verifiable, and survive without you. That gap is what Project AIR fills.
The credibility hook: the OWASP Top 10 for Agentic Applications (v12.6) names the "Signed Intent Capsule" as the canonical mitigation for ASI01. We didn't invent the pattern — we shipped a production implementation of it.
How it works: every agent decision is content-hashed (BLAKE3), signed (Ed25519), chained to the previous step, and anchored on Sigstore Rekor. Anyone can verify the chain offline, years later, even without us. The capsule format is AgDR-compatible.
Four layers in v0.7:
→ Trust Anchor — Cryptographic signing + public transparency log. → Investigation — air explain walks the causal graph. "Why did the agent do that?" is one command, not a four-hour log dive. → Containment — air approve puts a verified human in the loop. The approval itself is signed evidence. → AgDR Handoff — When agents hand work to other agents, the chain of custody survives the handoff.
Why now: EU AI Act Article 72 (post-market monitoring) takes effect August 2, 2026. Most teams have a guardrail story. Few have an evidence story.
If you work on agent reliability, compliance, or AI safety — I'd love to hear what's missing.
I've been following the AI agent space closely and the accountability
gap is so real. Every time something goes wrong with an agent everyone
is just screenshots and vibes. The fact that this produces actual
verifiable records that don't depend on trusting the company behind
it is genuinely exciting. Rooting for this one.
🚀 We're live today — excited to finally have this in front of the PH community.
I'm here all day. If you're building with AI agents and have questions about the signing architecture, OWASP ASI coverage, or the EU AI Act Article 72 implications — ask anything. Nothing is off limits.
About Project AIR by Vindicara on Product Hunt
“Open source SDK for AI agent governance and audit”
Project AIR by Vindicara was submitted on Product Hunt and earned 9 upvotes and 4 comments, placing #41 on the daily leaderboard. Cryptographic chain-of-custody. Court-supportable records. Rekor-anchored proof. Every action your agents take, bound to a workload identity, anchored on a public transparency log, independently verifiable by anyone. AIR isn't a guardrail, a governance dashboard, or a compliance checklist. It's the forensic substrate underneath — producing signed evidence the rest of the stack can consume. Built for EU AI Act Article 72 (Aug 2, 2026). Four shipping layers, pip install ready.
Project AIR by Vindicara was featured in SaaS (42.5k followers), Developer Tools (514k followers) and Artificial Intelligence (471k followers) on Product Hunt. Together, these topics include over 218.5k products, making this a competitive space to launch in.
Who hunted Project AIR by Vindicara?
Project AIR by Vindicara was hunted by Kevin Minn. 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 Project AIR by Vindicara stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Kevin Minn
Hi — Kev here, the maker.
When an AI agent does something it shouldn't — wrong tool call, prompt injection, data going somewhere it shouldn't — most teams reach for logs.
Logs aren't evidence. Evidence has to be tamper-evident, independently verifiable, and survive without you. That gap is what Project AIR fills.
The credibility hook: the OWASP Top 10 for Agentic Applications (v12.6) names the "Signed Intent Capsule" as the canonical mitigation for ASI01. We didn't invent the pattern — we shipped a production implementation of it.
How it works: every agent decision is content-hashed (BLAKE3), signed (Ed25519), chained to the previous step, and anchored on Sigstore Rekor. Anyone can verify the chain offline, years later, even without us. The capsule format is AgDR-compatible.
Four layers in v0.7:
→ Trust Anchor — Cryptographic signing + public transparency log. → Investigation — air explain walks the causal graph. "Why did the agent do that?" is one command, not a four-hour log dive. → Containment — air approve puts a verified human in the loop. The approval itself is signed evidence. → AgDR Handoff — When agents hand work to other agents, the chain of custody survives the handoff.
Why now: EU AI Act Article 72 (post-market monitoring) takes effect August 2, 2026. Most teams have a guardrail story. Few have an evidence story.
If you work on agent reliability, compliance, or AI safety — I'd love to hear what's missing.