lmnr logo
lmnr
★ 3.4k
vs
inspector logo
inspector
★ 2.3k

lmnr vs inspector

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.; inspector: MCPJam Inspector is a comprehensive development platform for MCP servers, apps, and ChatGPT applications. It offers robust tools for debugging, chatting with LLMs, inspecting server components, and evaluating performance, thereby streamlining the development workflow without requiring external services like ngrok or separate LLM subscriptions. It supports multiple deployment methods, including a hosted web app, desktop applications, and a terminal-based CLI/SDK, facilitating flexible iteration and seamless integration into CI/CD pipelines.

01

TL;DR

lmnr logo
lmnrObservability · ★ 3.4k

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

inspector logo
inspectorObservability · ★ 2.3k

Local Development & Debugging: Rapidly iterate on MCP projects, debug server issues, and test OAuth flows without external tunnels.

02

Side-by-Side Comparison

Field
lmnr logolmnr
inspector logoinspector
Category
Observability
Observability
Stars
★ 3.4k
★ 2.3k
License
Apache-2.0
NOASSERTION
Install Command
git clone https://github.com/lmnr-ai/lmnr && cd lmnr && docker compose up -d
npx @mcpjam/inspector@latest
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
AI Observability, Tracing, LLM Evals
anthropic, chatgpt, cicd
03

Features

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.
inspector logoinspector
01Debug: Inspect JSON-RPC messages and OAuth exchanges with full traces.
02Chat: Interact with any LLM against your server, with full trace visibility into tool calls and context.
03Inspect: Explore your server’s tools, resources, and prompts in a single interface.
04Evaluate: Run evaluations across multiple LLMs and track accuracy over time to catch regressions.
05CI/CD: Integrate CLI and SDK into pipelines (e.g., GitHub Actions) for automated testing, evals, and OAuth checks.
04

Use Cases

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.
inspector logoinspector
↳Local Development & Debugging: Rapidly iterate on MCP projects, debug server issues, and test OAuth flows without external tunnels.
↳Automated Testing & CI/CD: Integrate into GitHub Actions or other CI/CD pipelines to run end-to-end tests, evaluations, and specification conformance checks on every pull request.
↳Team Collaboration: Share server configurations and collaborate in real-time on debugging and evaluation within shared workspaces.
05

Best For

lmnr logolmnr
EssentialTrending
inspector logoinspector
—
FAQ

FAQ

What is the difference between lmnr and inspector?
Both lmnr and inspector are in the Observability category. lmnr has 3.4k stars, while inspector has 2.3k stars.
Which is better, lmnr or inspector?
The best choice depends on your use case. Choose lmnr if Debugging and understanding the execution flow and internal states of AI agents., and inspector if Local Development & Debugging: Rapidly iterate on MCP projects, debug server issues, and test OAuth flows without external tunnels..
Is lmnr free or open source?
Yes, lmnr is open source on GitHub (Apache-2.0).
Is inspector free or open source?
Yes, inspector is open source on GitHub (NOASSERTION).
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