Long-running agents
Query via MCP
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Collab with your team
Used by:
Backed by CEOs of:
"Rius found agent failures we didn't know existed. Our time to debug went from days to minutes and now we catch issues before they ever reach a customer."
Andres Almansa
CEO of Restack
Retrospective observability is fine for two-second runs. What if yours take six hours?
How long they run for
What they typically do
Short:
Typically running for seconds
A content agent drafting a post. An incident summarizer. A nightly sync.
Mid:
Usually run for minutes
Hour-long calls transcribed and reasoned over. Thousand-page document sets. Deep research that plans, retrieves, verifies, re-plans. Optimization loops.
Long:
Agents that can run for hours
Hour-long calls transcribed and reasoned over. Thousand-page document sets. Deep research that plans, retrieves, verifies, re-plans. Optimization loops.
Always-on:
Agents that run indefinitely
or are always-on
Infra monitors. Ops agents. Live queues that never close.
How it works
Instrument
two OpenTelemetry lines.
Every step streams in as it happens.
Watch
live traces, open-trace metrics, heartbeat detection, alerts mid-run.
Act
query from your coding agent over MCP, find the first divergence, ship the fix.
Watch you get
Alongside the standard features, such as a dashboard, alerts, traces and span view, you will get unique functionalities.
Rius Pricing
Core
$19
/mo
try 1 month for free
Traces incl.
250k
Overage per 100k traces
$7
Query retention
60d
Growth
$79
/mo
Add more agents and bring the whole team onto one view.
Traces incl.
750k
Overage per 100k traces
$6
Query retention
180d
Pro
$199
/mo
Scale to production with the retention and audit trail your SLAs demand.
Traces incl.
2M
Overage per 100k traces
$5
Query retention
3y
Enterprise
$1,999
/mo
Make agent observability a governed part of your stack.
Traces incl.
5m
Overage per 100k traces
$4
Query retention
custom
Blog
Common questions
Why do I need an observability layer for my agents?
Because agents fail differently than traditional software and you find out about it differently too. A traditional API either returns a 200 or a 500. You know immediately. An agent can run for 40 minutes, produce a confident-sounding output, charge you $12 in API costs, and be completely wrong the entire time. Or it can crash at step 190 of a 200-step run and leave you with no record of what happened because the spans were still in memory when the process died.
Why should I not use an open source solution?
Why should I not vibe code a solution?
What happens when an agent crashes mid-run?
