Agents fail silently. Fix them fast.

Trace every run. Auto-fix silent failures. Ship confidently.

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Trusted by engineering teams at

857

on GitHub

Billions

Traces processed / month

Fortune 100

Customers

SOC 2

Compliant

857

on GitHub

Billions

Traces processed / month

Fortune 100

Customers

SOC 2

Compliant

Inspect agent traces.

Detect issues automatically.

Experiment with feature flags.

Raindrop Logs - inspect every agent trace in real time

One workflow, every surface

Log every agent run

Every production run leaves a trail of messages, tool calls, retries, and errors. Raindrop captures it all in one place.

One workflow, every surface

From a flood of conversations to a shipped fix.

Log every agent run

Every production run leaves a trail of messages, tool calls, retries, and errors. Raindrop captures it all in one place.

Silent issues, surfaced.

Raindrop reads the trace and sends the real failures to Slack, from hallucinations and loops to broken tools.

Just @Raindrop for everything.

Just like a teammate, Raindrop lives in Slack. Ask questions, triage issues, create signals, and more.

Prove the fix actually worked.

Ship the fix, run an experiment against live traffic, and confirm the regression is gone for good.

Loved by developers

Here's what developers building with Raindrop are saying

Andrzej Dąbrowski

@ardabrowski

Hey this is awesome! Finally a product where you can "look at your data" in a beautiful way, not just a soulless dump of jsons for nerds. I've been building sth along those lines for customer support (not observability, and not as polished). I display convo history as blocks, similar to Notion, and you get notion-like collaboration too for feedback. Is this possible in raindrop?

Amjad Masad

@amasad

If you're building an agent, I recommend looking into Raindrop for monitoring. We use it.

Jeremy Fischer

@Jeremy_JFischer

I’ve been using this all day today. Soooo much easier to iterate. Spans, token count, cost, timing, a sane view of each tools input-output.

jason

@jxnlco

Heard it works with your codex subscription. Now you can use codex to build agents as well as inspect them I tried it out yesterday and it works great in the in app browser of the codex desktop app

bani

@banisgh

Observability needs to be more actionable. Raindrop was already one of my most used tools and it just keeps getting better (!)

Reid Draper

@reiddraper

absolute 🔥, all other trajectory viewers are unusable in comparison

Hamel Husain

@HamelHusain

Really like the UX/data viz in some of these Increasingly important for sorting through multi-agent / parallel workflows to tame the trace spagetthi

samyok

@samyok

!! we're using this new sdk to page us every time something breaks

austin petersmith

@awwstn

huge fan of Raindrop, it has been immensely helpful for us and i use it every day. congrats on the round!

Rob Haisfield

@RobertHaisfield

@benhylak @raindrop_ai We recently got an influx of users from China and used Deep Search to make a classifier for "the user speaking chinese" this morning. Raindrop translates them, so we're able to get to know a group of users we'd otherwise have no insight into. Feels like I'm living in the future

Devin Stein

@devstein64

loved the onboarding experience

Jake Colling

@JacobColling

Very good. Immediately useful. Going to be using this as default for local agent work now Also looking at instrument Claude code sessions with it to improve skills etc

Andrzej Dąbrowski

@ardabrowski

Danny Aziz

@DannyAziz97

@aviflombaum I’m a huge fan of @raindrop_ai for agent monitoring

Scott Stevenson

@scottastevenson

@jmwind @benhylak We are loving Raindrop!

Jake Colling

@JacobColling

This is very well done. Built in chat that plugs into your local codex/claude is perfect. Need someone to make this for general otel too

Pratyush Rai

@pratyush_r8

This is insanely cool. 🔥🔥 One of the best products out there (by far) for anyone building agents just released an OSS version to play with. We’ve already been using Raindrop heavily across Thine / Merlin. Excited to now use it across personal projects too.

Mitch

@mitchellhynes

Spellbook has been using this for weeks and it feels like magic. It raises silent bugs daily. Feels like my agent is a team member that advocates for itself telling us the most important bugs for us to fix.

Rob Haisfield

@RobertHaisfield

Raindrop feels like extremely futuristic software. It lets you explore user intent and agent trajectories in a way that didn't feel possible years ago. Big fan of them. Every part of what they've built is thoughtful, solving design problems for a new kind of observability.

Sam Whitmore

@sjwhitmore

once again the @raindrop_ai is ahead of the curve…imagine searching for expensive, error prone, or slow tool calls across all your agent traces. nothing like this exists yet

Evan Goldschmidt

@evangoldschmidt

@tolanworld runs on raindrop. highly recommend

austin petersmith

@awwstn

just made a feature request for @raindrop_ai and they shipped it in less than 3 hours

Peter

@peter58587

This is actually incredible. I've been building out a project that involved running Pi in a cloudflare container, it's been a nightmare locally to try and get decent observability on what's happening and to get a feedback loop going. This really came at the perfect time!

Nikita 🤙

@Hormold

nice, it works awesome for voice agents too!

Guillermo Rauch

@rauchg

@benhylak @raindrop_ai awesome

Jean-Michel Lemieux

@jmwind

@benhylak Big fan of raindrop ! 💪🏼

nader dabit

@dabit3

Such a nice idea. we need this for @DevinAI for Terminal @MattSchrage @alexkaplan0 👀

Walden

@walden_yan

Agents finding bugs in agents and tagging another agent to fix those agents Welcome to the singularity

Stew Fortier

@stewfortier

It's difficult to overstate how insanely useful @raindrop_ai is, and it just keeps getting better

Stefanos

@titanas

Raindrop will be remembered as the company who did to AI infra what the Mac did to the personal computer. It’s a matter of time until frontier labs recognize the value and make a move.