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# What is KanonAgent?

KanonAgent tracks and recommends rising AI agent products. Not a directory, not a "we index everything" database — one job: surface the AI agents that are actually gaining traction right now, and tell you what they do and whether they're worth your time.

Free, no login, no ads. English and Chinese.

What the name means

Kanon (κανών) is Greek for the measuring rod — the standard a thing is held against.

AI agents are in their loudest phase: everything claims full autonomy, and the real is tangled with the marketed. You cannot tell them apart from the landing page. So we measure. Every agent here is held against real signals — who actually uses it, which number is moving, what it charges, which job it genuinely takes off your plate. We strip out the hype and keep what holds up: the canon of AI agents.

Spelled with a K, not a C — we are not the camera company. We measure agents.

What counts as an "AI agent" here

We use a wide definition: anything that autonomously completes multi-step tasks for you — coding agents, workflow automation, research agents, support and sales agents, voice and browser agents, and vertical tools built on top of models.

We do not filter by who shipped it. A frontier lab's release and a two-person team's side project are judged the same way: is it rising?

Currently 9,783 AI agents are live in the index, 9,470 of them with a "what job does it do" teardown.

In the last 24 hours, 250 new products entered the observation pool.

Where the data comes from

Product Hunt · Hacker News · GitHub · HuggingFace Spaces · Reddit · Lobsters · TrustMRR · plus open community submissions. Each source covers a different stage: Product Hunt for launch-day heat, Hacker News and Lobsters for technical credibility, GitHub and HuggingFace for developers voting with their feet, TrustMRR for real revenue.

Watching only one source means you're always late or blind to half the market.

What we break down for each agent

If we can't read a field, we leave it empty. We don't guess and we don't let a model invent a plausible-looking number. A fabricated price is worse than no price.

How to use it