Sentry Error Triage Agent with Hermes
Hermes is an open model agent from Nous Research, and the reasoning it does here is closer to reading than to coding: a stack trace, some counts, a release list, and a rule set to compare them against. The hard part is restraint, because a plausible cause is always available and the instructions forbid stating one. What ships is impact, location, evidence and a suspected release.
Watch it work before it's live
Run a staged conversation — no account needed. The agent handles it for real while a simulated world answers its tool calls; nothing touches real accounts, and nothing is actually sent.
TypeError: Cannot read properties of undefined (reading 'total')
Triggeredat renderOrderSummary (app/checkout/OrderSummary.tsx:118), at renderWithHooks (react-dom.production.min.js), at commitRootImpl. 4,120 events from 1,830 users in 40 minutes, all on release 2026.8.3 which shipped 52 minutes ago, every browser, cart and checkout pages only.
Set up in minutes
Using this template drops you into a guided setup. It asks exactly this, nothing else:
Connect Sentry
One sign-in. The agent acts through your account, scoped to what this template uses.
Connect Linear
One sign-in. The agent acts through your account, scoped to what this template uses.
Connect Slack
One sign-in. The agent acts through your account, scoped to what this template uses.
Severity rules
How you decide an error matters - the event and user counts, the time window, and how recent a release has to be for each level, plus what is severe enough to interrupt the channel.
Codebase context
What the services are and who owns which area - service names, the parts of the code they map to, and any known noisy errors you want scored down.
Runs on Hermes
Preselected for this page — connect your Hermes account during setup, or switch to NoClick's built-in models with one click.
Watch it handle a test run
A staged conversation against a simulated world — then it’s live.
Why Hermes for this agent
Restraint over explanation
Saying which frame throws and which release it started after, without naming a cause or a commit, is the behaviour that keeps these tickets trustworthy.
Open weights in the loop
Teams with a policy about which models get to read their stack traces can point this one at an open model and answer that question easily.
Before you fork
Would it invent a root cause?
It is told to report evidence and never a diagnosis, so the ticket names the throwing frame and the release the error appeared after, and stops. That is a stricter rule than most people expect, and it is why engineers can trust the body of the issue. Check it on the staged post deploy spike, where the temptation to explain is strongest.
Run it with a different agent
Put Sentry Error Triage Agent to work on Hermes
Free to start. Guided setup, a test run against staged conversations, and it's live.