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dunetrace
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dunetrace

Active·★ 68·NOASSERTION·Updated 2026-09-20

Dunetrace monitors every run of AI agents in real-time, detecting structural failures like tool loops, retry storms, and context bloat within 15 seconds of completion. It fires alerts via Slack or webhook, provides plain-English explanations, and offers one-click fixes through Langfuse or GitHub PRs.

#agent-observability#ai#ai-agents#ai-tools#analytics#autogen#crewai
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#langchain
$ Install
$ git clone https://github.com/dunetrace/dunetrace && cd dunetrace && cp .env.example .env && docker compose build && docker compose up -d
↗ Visit site★ GitHub
01

Features

01Real-time monitoring with 15-second alert latency
0217 automatic structural detectors (no configuration needed)
03Diagnose with plain-English explanations and LLM-powered root-cause analysis (via Langfuse)
04One-click fix application (prompt version or GitHub PR)
05Policies for mid-run guardrails (cost cap, tool call limit)
02

Compatibility

Python
SDK (Python)
Verified via docs
Node.js
SDK (Node.js)
Verified via docs
LangChain
LangChain/LangGraph
Verified via docs
Langfuse
Langfuse Deep Analysis
Verified via docs
MCP
MCP Server
Verified via docs
03

Quick start

1
$ git clone https://github.com/dunetrace/dunetrace
2
$ cd dunetrace
3
$ cp .env.example .env
4
$ docker compose build
5
$ docker compose up -d
04

Use cases

↳Monitor production AI agents for silent failures like tool loops and cost spikes
↳Automatically detect and alert on agent behavioral anomalies
↳Quickly diagnose and fix agent issues with one-click actions
05

Alternatives

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dunetrace /
dunetrace
↗

Real-time monitoring of your production agents. No raw content transmitted.

68
Last commit1mo ago
StatusActive
CategoryObservability
Links
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