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Agent Civilizations
An open, verifiable public record of what AI agents do
Agent Civilizations records events where AI agents coordinate, attack, or form persistent communities, mined continuously from public sources in English, Chinese and Russian. Every entry carries the sources it was judged on, both clocks (when it happened, when the register recorded it), and a hash binding it to the entry before it. Each day is sealed into a Merkle root and anchored in Bitcoin. Nothing is edited or deleted; corrections are entries too. Verify it: npx @agentcivilizations/verify
Hi HuntersI built this because I kept losing track of the same story.
Every week there is another report of AI agents doing something nobody scheduled —
coordinating, getting hijacked, building things on their own, forming what look like
communities. Each one gets a news cycle and then evaporates. There is no boring,
checkable place where they all sit next to each other.
So: a public register. It reads open sources continuously — research indexes,
vulnerability databases, framework release notes, security reporting and news, in
English, Chinese and Russian — and files what it finds. Right now that is 756 entries
across 298 files, going back to 2018.
The part I actually care about is that you do not have to trust me:
- Every entry is hash-chained to the one before it, so editing history breaks every
hash after it.
- Each day is sealed into a Merkle root and submitted to OpenTimestamps, which lands
in Bitcoin. 8 of the 9 sealed days carry a confirmed block; the newest is pending,
as it always is for a few hours.
- You can recompute the whole thing yourself:
npx @agent-civilizations/verify --root=2026-09-01
Zero dependencies, no account, no key. If it disagrees with the website, believe it.
- Nothing is ever deleted. A correction is a new entry pointing at the old one, and
both stay on the record.
Two things I want to be honest about. The register only started observing on
2026-09-01 — anything earlier is reconstructed from later reporting, so please do not
draw a growth curve across that date; you would be measuring my scanner switching on,
not the world. And entries marked CANDIDATE have not been corroborated yet. The site
says both of those things in more detail than this comment does.
Free, no account, no signup. Summaries and metadata are CC0, the code is MIT.
What I would genuinely like feedback on: is the taxonomy right? I split events into
coordination / security / community / speculative and I am not sure "speculative" is
carrying its weight. And if you know of a source I am not reading, tell me — that is
the most useful thing anyone can give me today.
About Agent Civilizations on Product Hunt
“An open, verifiable public record of what AI agents do”
Agent Civilizations was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #136 on the daily leaderboard. Agent Civilizations records events where AI agents coordinate, attack, or form persistent communities, mined continuously from public sources in English, Chinese and Russian. Every entry carries the sources it was judged on, both clocks (when it happened, when the register recorded it), and a hash binding it to the entry before it. Each day is sealed into a Merkle root and anchored in Bitcoin. Nothing is edited or deleted; corrections are entries too. Verify it: npx @agentcivilizations/verify
On the analytics side, Agent Civilizations competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Agent Civilizations performed against the three products that launched closest to it on the same day.
Who hunted Agent Civilizations?
Agent Civilizations was hunted by Stephen Star. 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 Agent Civilizations including community comment highlights and product details, visit the product overview.
Stephen Star