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Ship reliable agents

Laminar catches every agent failure, surfaces what to fix, and confirms the fix resolved it.

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01.

Get alerts when your agent breaks.

Signals let you describe the error in plain English – "agent is stuck in a loop". Laminar reads every agent run and pings you in Slack when it happens.

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3:18 pm

Failure

: New Event

Agent run flagged 4 issues. In one anthropic.messages the agent decided to run python (macOS only ships python3), Bash then hit command not found three times before recovering, a parallel Bash pair cascade-cancelled, and Read missed when the shell CWD drifted after a cd.

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02.

Understand why in seconds.

Go from issue description to the exact step that caused it.

Agent run hit avoidable failures

Agent run flagged 4 issues. In one ai.streamText.doStream the agent decided to run python (macOS only ships python3), bash then hit command not found three times before recovering, a parallel bash pair cascade-cancelled, and read missed when the shell CWD drifted after a cd.

SignalsLearn more

A clear, concise view of your agent run

Laminar makes the agent run easily navigable by surfacing input, LLM reasoning, tool calls, and sub-agents in a readable transcript and timeline.

Trace transcript
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Ask any question about your agent run

Dive deep into any issue within the agent run by simply asking. Get answers that reference specific context that you can jump to directly.

03.

Has this issue occurred before?

Laminar groups the events your Signals find into named clusters and tracks each one over time. When a cluster stops recurring, Laminar resolves it — and reopens it if the issue returns.

Signal clustersLearn more
04.

Claude, fix my agent

With Laminar CLI and MCP, your coding agent fully owns the iteration loop for the agents you're building. It runs your agent, reads the trace, fixes, and re-runs with cached state. You can then review its work in the Debugger session UI.

>
? for shortcutsclaude-opus-4-7 · 1M context
Laminar / debugger-sessions

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Created 4m ago·Updated just now·0 traces·Copy ID
No runs in this session yet
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05.

Did the new release break anything?

Every error cluster you fix can automatically be turned into an eval dataset. Run evals after a change to catch regressions and iterate with confidence.

evaluations/opus-4.5
Average
0.41
0.58
0.17 (40.61%)
Status
Target
Duration
Index
Data
Metadata
"pyknotid"
591.90s427.30s
0
"pyknotid is a knot identification library — implement the new identifier."
{ "lang": "py", "tier": "swe-bench" }
"pMARS sim"
788.41s204.31s
1
"Build pMARS (the Multi-Arena Redcode Simulator) from the seed sources."
{ "lang": "c", "tier": "swe-bench" }
"flat ancestry"
290.56s96.14s
2
"You're given a tree of users — produce a flat ancestry mapping."
{ "lang": "py", "tier": "easy" }
"husky hook"
110.35s344.15s
3
"Configure a git pre-commit hook that runs lint and type-check."
{ "lang": "shell", "tier": "easy" }

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