Laminar records 0 monthly visits with 0% month-over-month growth and Freemium pricing. Middleware records 35,967 monthly visits with -12.3% growth and Freemium, Contact for Pricing pricing.
Open-source agent observability that catches failures before your users do
Full-stack observability with an AI SRE agent that fixes issues
| Dimension / Metric | | |
|---|---|---|
| Official Domain | lmnr.ai | middleware.io |
| Pricing Model | Freemium | Freemium, Contact for Pricing |
| Monthly Visits | 0 (0) | 35.97K (35,967) |
| MoM Traffic Delta | 0 (0%) | -5.05K (-12.3%) |
| Primary Market & Share | 🌐 Global (—) | 🇮🇳 India (27.3%) |
| Direct Visits / mo | 0 | 8.88K |
| User Rating | 4.7 | 4.3 |
| Supported Platforms | Website | Website |
Open-source agent observability that catches failures before your users do
Automatically records LLM calls, tool calls, sub-agents, tokens and cost, then shows them as a readable transcript with a cost heatmap.
A custom analysis model reviews every run to surface failure modes you never defined, then clusters similar failures into patterns for fast triage.
Convert error clusters into eval datasets and re-run them after each release to catch regressions before they reach users.
Get notified about new failure clusters in Slack and ask the Laminar agent questions about your traces from the same channel.
Full-stack observability with an AI SRE agent that fixes issues
An AI agent that detects, investigates, and helps auto-fix production issues across infrastructure, APM and RUM signals.
Monitor servers, containers, serverless workloads and cloud services across AWS, Azure, GCP and Kubernetes from one place.
Correlate and query high-volume logs assisted by AI so debugging does not rely on manual grep-style detective work.
Track application performance, trace slow requests, and inspect database and endpoint behaviour end to end.
SpecialistUnified observability, security and incident response for cloud-scale engineering teams
SpecialistUnified observability, security and incident response for cloud-scale engineering teams
Track, evaluate, and ship AI models and agents in one connected environment.
Track, evaluate, and ship AI models and agents in one connected environment.
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
SpecialistThe collaboration layer for AI engineering teams
SpecialistThe collaboration layer for AI engineering teams
Standardize LLM evaluation, observability, and red teaming across your whole org
Standardize LLM evaluation, observability, and red teaming across your whole org
AI governance, testing, and observability for regulated enterprises
AI governance, testing, and observability for regulated enterprises
Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them
Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them
SpecialistThe control plane for trusted enterprise agents and models
SpecialistThe control plane for trusted enterprise agents and models
Find and fix problems in your AI agents before users do
Find and fix problems in your AI agents before users do
Observe, evaluate and monitor AI agents in production
Observe, evaluate and monitor AI agents in production
