LangWatch
The harder your agents get, the more you need LangWatch.
What this is
An open-core platform for testing, simulating and monitoring multi-step AI agents in production, including an open-source framework for running adversarial conversation simulations before launch.
Our one-line summary — not the founder’s tagline.
- How it works
- An open-core platform to test, simulate and monitor AI agents end-to-end, including multi-turn, multi-step, multi-agent systems, with an open-source framework (Scenario) for simulating full multi-turn agent conversations — including adversarial and edge-case paths — before production.
- What's different
- Tests agent behavior across full interactions the way software teams test software, rather than just grading single LLM outputs like most competitors.
- Best for
- Teams building complex or multi-agent AI systems who need to catch broken behavior before users do.
What we measured
Nobody else publishes this — it comes from knocking on the door every day.
- Watched by us
- 18 days
- Last checked
- 2d ago
Where it shows up
Every group here is a page of its own — each one checked daily.
The numbersIs it still shipping, is it overpriced, where did it land — and what the price is built from.
League price & chart
No money. No seat. It goes on your record — and in 28 days reality settles it.
Calls are closed while we rebuild accounts. You can still read every one of them.
AI. Launched 18d ago on Peerlist, where it placed #98. Today, the site itself changed 2d ago — evidence it's still shipping, not just announcing.
Quiet for 2 days — no penalty yet, but quiet doesn't stay free.
We check this site every day, ourselves. A founder can post “still working on it” — a claim like that doesn't price. What we price is what we can verify from the outside: evidence, not announcements. The real question isn't “will this be huge?” — it's “will they still be moving in four weeks?”
Shipping record
15 separate days we saw this ship · Jun 24 → Jul 26 · sources: changelog, page changed
En son 14 gün gösteriliyor — toplam 15.
Beyan değil kanıt: founder “çalışıyoruz” diye post atabilir, ama sevk ettiyse izi kalır. ⚠️ Kaydı olmayan ürün “sevk etmedi” demek değildir — o üründe izleyecek bir kaynağımız yok demektir.
The market viewHow this launch is priced and ranked in our league — the investor side of the page.
ranked by the reality anchor, not the market price
It placed #98 on Peerlist. It also showed up on 1 other board — but didn't place well enough on any of them, so none of them add to the price. Listing on twelve directories is free; placing well on them isn't.
No matter how much money goes in. There is no pump here — you can't make yourself right by buying more. The line only moves on things that actually happened: an award, revenue that grew, a new platform, code that shipped — or silence.
En eski 4 hareket bu listede yok — toplam 16 olay var. 1 quiet day in between are left out — nothing happened on them. A launch that goes quiet eases down a little at a time — never a cliff you could have run from the night before.
How the launch is moving on its own board, day by day — the crowd's attention.
A flat line is normal: votes stop within a day or two of launch, on every board. What's unusual — and what actually counts — is a launch that keeps pulling votes long after its day is over.
About
LangWatch is the open-core platform to test, simulate, and monitor AI agents end-to-end. Unlike tools that grade single LLM outputs, LangWatch is built for agent complexity; multi-turn, multi-step, multi-agent systems where failure hides in the interactions. Killer feature: Scenario, agent simulation before production. Open-source framework for simulating full multi-turn agent conversations, including adversarial and edge-case paths, so you catch broken behavior before your users do. This is the wedge: almost every competitor evaluates outputs; LangWatch tests agents the way software teams test software. Voice agents included
Where it launched
2 platformsThe board it did best on sets the price. Every other board only adds to it if the launch also placed high on that board too — because just showing up somewhere isn't an achievement. Listing on twelve directories is free; placing well on them isn't.
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