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agentrec is an eBPF flight recorder for AI agents. One node agent records every file, command, and network connection your agents make — attributed to the exact tool call — with 20 built-in detections and in-kernel blocking. No SDK, no code changes; it reads the kernel, so it works with any agent framework.
Hey Product Hunt 👋 I'm the maker of agentrec.
AI agents are getting shells, credentials, and the autonomy to run unsupervised — but everything guarding them watches the API (prompts, tool-call JSON). Nothing watches what the agent's process actually does on the machine, and the agent's own logs are self-reported — so you're trusting the thing you're auditing.
agentrec is a flight recorder for exactly that. It's one eBPF agent — a Kubernetes DaemonSet or a single static binary — that records every file, command, and network connection an agent makes, attributed to the exact tool call that caused it. No SDK, no code changes; it reads the kernel, so it works with any agent framework.
20 detection rules built in (secret access, docker/containerd sockets, cloud-metadata SSRF, reverse shells, priv-esc) → findings on day one
On a supported kernel it can block: deny an action in-kernel with a clean -EPERM before it happens
~6.5µs/event, memory-bounded node agent, tamper-evident hash-chained recordings
It's live and self-serve — $0.10/node-hour, 100 node-hours free every month, no card to start.
Would love your feedback, especially if you run agents in CI or production. Happy to go deep on the eBPF internals — ask me anything!
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About agentrec : Flight recorder for AI agents on Product Hunt
“See — and block — what your AI agents actually do”
agentrec : Flight recorder for AI agents was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #26 on the daily leaderboard. agentrec is an eBPF flight recorder for AI agents. One node agent records every file, command, and network connection your agents make — attributed to the exact tool call — with 20 built-in detections and in-kernel blocking. No SDK, no code changes; it reads the kernel, so it works with any agent framework.
agentrec : Flight recorder for AI agents was featured in Developer Tools (519k followers), Artificial Intelligence (478.1k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 231k products, making this a competitive space to launch in.
Who hunted agentrec : Flight recorder for AI agents?
agentrec : Flight recorder for AI agents was hunted by Aditya Singh. 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.
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Aditya Singh