keep
★ 12.5k
vs
lmnr
★ 3.5k
keep vs lmnr
keep: Keep is an open-source AIOps and alert management platform designed to unify all your alerts and incidents. It offers a single pane of glass for alert deduplication, enrichment, filtering, correlation, and bi-directional integrations with various monitoring tools.; 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
keepObservability · ★ 12.5k
Centralizing and managing alerts from diverse monitoring systems.
lmnrObservability · ★ 3.5k
Debugging and understanding the execution flow and internal states of AI agents.
02
Side-by-Side Comparison
Field
Category
Observability
Observability
Stars
★ 12.5k
★ 3.5k
License
NOASSERTION
Apache-2.0
Install Command
git clone https://github.com/keephq/keep.git
git clone https://github.com/lmnr-ai/lmnr && cd lmnr && docker compose up -d
Updated
6d ago
1d ago
Open Source
Yes
Yes
Tags
AIOps, Alert Management, Incident Response
AI Observability, Tracing, LLM Evals
03
Features
01Single pane of glass for all alerts and incidents with customizable UI.
02Comprehensive alert processing including deduplication, correlation, filtering, and enrichment.
03Deep bi-directional integrations with monitoring tools and customizable workflows.
04Automation capabilities, akin to GitHub Actions, for monitoring tasks.
05AIOps 2.0 with AI-powered correlation and summarization for incidents.
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
↳Centralizing and managing alerts from diverse monitoring systems.
↳Automating incident response workflows and reducing alert fatigue.
↳Leveraging AI for intelligent alert correlation and incident summarization.
↳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
Most PopularEssentialTrending
EssentialTrending
FAQ
FAQ
What is the difference between keep and lmnr?
Both keep and lmnr are in the Observability category. keep has 12.5k stars, while lmnr has 3.5k stars.
Which is better, keep or lmnr?
The best choice depends on your use case. Choose keep if Centralizing and managing alerts from diverse monitoring systems., and lmnr if Debugging and understanding the execution flow and internal states of AI agents..
Is keep free or open source?
Yes, keep 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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