Future AGI records 121,741 monthly visits with -7.8% month-over-month growth and Freemium, Usage-based pricing. Laminar records 0 monthly visits with 0% growth and Freemium pricing.
Build, simulate, evaluate and monitor self-improving AI agents
Open-source agent observability that catches failures before your users do
| Dimension / Metric | | |
|---|---|---|
| Official Domain | futureagi.com | lmnr.ai |
| Pricing Model | Freemium, Usage-based | Freemium |
| Monthly Visits | 121.74K (121,741) | 0 (0) |
| MoM Traffic Delta | -10.26K (-7.8%) | 0 (0%) |
| Primary Market & Share | 🇮🇳 India (48%) | 🌐 Global (—) |
| Direct Visits / mo | 71.47K | 0 |
| User Rating | 4.4 | 4.7 |
| Supported Platforms | Website | Website |
Build, simulate, evaluate and monitor self-improving AI agents
Generate personas, scenarios and synthetic datasets to stress-test text and voice agents across many conversation branches before launch.
Combine always-free heuristic metrics, code evaluators and LLM-as-judge scoring, including agentic evaluators that localise errors in RAG and tool calls.
Route traffic across 15+ LLM providers with load balancing, failover and caching, plus 15 built-in rule-based guardrails and ML content moderation.
End-to-end traces, sessions, agent graphs, custom dashboards and alert monitors give real-time visibility into production behaviour.
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.
Unified observability, security and incident response for cloud-scale engineering teams
Unified observability, security and incident response for cloud-scale engineering teams
Enterprise AI infrastructure where software and expert humans work together
Enterprise AI infrastructure where software and expert humans work together
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-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
Automated QA, simulation and observability for voice and chat AI agents
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
The control plane for trusted enterprise agents and models
The 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
