dunetrace logo
dunetrace
★ 68
vs
lmnr logo
lmnr
★ 3.4k

dunetrace vs lmnr

dunetrace: 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.; lmnr: Laminar is an open-source observability platform specifically designed for AI agents. It provides comprehensive tools for tracing, evaluation, and monitoring of AI agent behavior and performance.

01

TL;DR

dunetrace logo
dunetraceObservability · ★ 68

Monitor production AI agents for silent failures like tool loops and cost spikes

lmnr logo
lmnrObservability · ★ 3.4k

Debugging and understanding the execution flow and internal states of AI agents.

02

Side-by-Side Comparison

Field
dunetrace logodunetrace
lmnr logolmnr
Category
Observability
Observability
Stars
★ 68
★ 3.4k
License
NOASSERTION
Apache-2.0
Install Command
git clone https://github.com/dunetrace/dunetrace && cd dunetrace && cp .env.example .env && docker compose build && docker compose up -d
git clone https://github.com/lmnr-ai/lmnr && cd lmnr && docker compose up -d
Updated
1mo ago
1d ago
Open Source
Yes
Yes
Tags
agent-observability, ai, ai-agents
AI Observability, Tracing, LLM Evals
03

Features

dunetrace logodunetrace
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)
lmnr logolmnr
01OpenTelemetry-native tracing SDK with support for various AI SDKs (Vercel AI SDK, LangChain, OpenAI, etc.).
02Unopinionated, extensible SDK and CLI for running evals, with a UI for visualizing and comparing results.
03AI monitoring with the ability to define events using natural language descriptions to track agent behavior.
04SQL access to all collected data (traces, metrics, events) via a built-in SQL editor and API.
05High-performance architecture written in Rust, featuring a custom real-time engine and ultra-fast full-text search.
04

Use Cases

dunetrace logodunetrace
↳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
lmnr logolmnr
↳Debugging and understanding the execution flow and internal states of AI agents.
↳Evaluating the performance, quality, and reliability of AI agents and their responses.
↳Monitoring AI agents in production for anomalies, logical errors, and custom business behaviors.
05

Best For

dunetrace logodunetrace
—
lmnr logolmnr
EssentialTrending
FAQ

FAQ

What is the difference between dunetrace and lmnr?
Both dunetrace and lmnr are in the Observability category. dunetrace has 68 stars, while lmnr has 3.4k stars.
Which is better, dunetrace or lmnr?
The best choice depends on your use case. Choose dunetrace if Monitor production AI agents for silent failures like tool loops and cost spikes, and lmnr if Debugging and understanding the execution flow and internal states of AI agents..
Is dunetrace free or open source?
Yes, dunetrace is open source on GitHub (NOASSERTION).
Is lmnr free or open source?
Yes, lmnr is open source on GitHub (Apache-2.0).
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