Laminar records 0 monthly visits with 0% month-over-month growth and Freemium pricing. Latitude records 48,210 monthly visits with -30.6% growth and Freemium, Open Source, Enterprise pricing.
Open-source agent observability that catches failures before your users do
Open-source observability that finds your AI agent's failures — and fixes them
| Dimension / Metric | | |
|---|---|---|
| Official Domain | lmnr.ai | latitude.so |
| Pricing Model | Freemium | Freemium, Open Source, Enterprise |
| Monthly Visits | 0 (0) | 48.21K (48,210) |
| MoM Traffic Delta | 0 (0%) | -21.29K (-30.6%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (11.8%) |
| Direct Visits / mo | 0 | 20.02K |
| User Rating | 4.7 | 4.4 |
| 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.
Open-source observability that finds your AI agent's failures — and fixes them
Point your existing OTEL pipeline or install the SDK and traces appear immediately. No proprietary format and no vendor lock-in.
Recurring failures are grouped into prioritized issues with trend, affected users, and sample traces, and you can define custom signals for any behavior you want tracked.
Get notified in Slack, email, or via webhooks when a new issue appears or an existing one escalates, so you act before users complain.
Signal escalations can be routed to Claude Code or Cursor with full context and deep links; the agent implements the smallest correct fix and opens a pull request.
Free / Open-sourceHigh-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs.
Free / Open-sourceHigh-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs.
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud
Unified observability, security and incident response for cloud-scale engineering teams
Unified observability, security and incident response for cloud-scale engineering teams
Free / Open-sourceBuild, deploy, and govern production-ready agentic AI workflows
Free / Open-sourceBuild, deploy, and govern production-ready agentic AI workflows
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
The collaboration layer for AI engineering teams
The 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
Free / Open-sourceOpen-source coding agent built for low-cost, open-weight language models
Free / Open-sourceOpen-source coding agent built for low-cost, open-weight language models
Free / Open-sourceOpen-source workspace for building, evaluating and shipping AI agents
Free / Open-sourceOpen-source workspace for building, evaluating and shipping AI agents
