dunetrace

Name: dunetrace Review
Item: dunetrace
Rating: 2.3
Author: Aaron Matthews

Skill Documents & Content Poor

Works inClaude Code

Poor Scanned — metadata only

Production AI agents require visibility into behavior and failure modes without exposing sensitive data.

Real-time failure detection for production AI agents. Seventeen structural detectors (tool loops, retry storms, context bloat, goal abandonment, and more) run on every completed agent run — no configuration, no LLM — and fire a Slack or webhook alert within 15 seconds. You self-host the backend via Docker Compose and instrument agents with the Python or TypeScript SDK (decorators or an OpenAI client wrapper). Unlike Langfuse or LangSmith dashboards, it alerts while things break rather than after you notice.

Monitor Claude agent performance metrics and error rates in production systems
Track user interactions with AI agents without exposing sensitive data to third parties
Alert engineering teams when deployed agents degrade or behave unexpectedly in real time

59 starsFreeQuick setup

Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Why it matters

Production AI agents require visibility into behavior and failure modes without exposing sensitive data. Dunetrace closes the observability gap for teams running autonomous systems at scale, reducing undetected errors and compliance risk.

Best for

Engineering teams deploying autonomous AI agents who need production monitoring without data exfiltration concerns.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/dunetrace/dunetrace

By dunetrace

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.

Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.

Command

pip install dunetrace  # or: npm install dunetrace — backend: git clone https://github.com/dunetrace/dunetrace && cd dunetrace && cp .env.example .env && docker compose -f docker-compose.ghcr.yml up -d

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

First thing to try

After installing, paste this into Claude:

Help me monitor Claude agent performance metrics and error rates in production systems

PrerequisitesDocker (backend runs via Docker Compose); Python 3.11+ for the Python SDK or Node.js for the TypeScript SDKCostFree

Trust Signals Auto-scanned

Stars59Contributors12Last updated2026-08-10Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-18 · scanner vattempted-no-data

Community Pulse Growing

Discussed on Hacker News

Show HN: Dunetrace – Runtime failure detection for AI agents — Hacker News · 1 pts

1 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 55 GitHub stars; contributors unknown; last commit 0d ago; license no license.

Things to check

Requires self-hosting the backend (Docker Compose) and instrumenting your agent code with the SDK — this is not a drop-in Claude skill. Alerts go to Slack, webhook, or the local dashboard. Trust scan found no license on the repo; confirm licensing before commercial use.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

1/5

Versatility

3/5

Reliability

3/5

Security

3/5

Overall score2.30 / 5.00 PoorEvaluatedJun 2026

Scored from trust signals (evidence-eval-v1): 55 GitHub stars; contributors unknown; last commit 0d ago; license no license.

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