🔧 aitoolsatlas.ai Tools & Infrastructure
Components and infrastructure that power AI tools — databases, APIs, monitoring, and more
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Infrastructure and components that power AI tools — vector databases, search APIs, monitoring, testing, and deployment tools.
8 tools found
Datadog LLM Observability
Enterprise-grade monitoring for AI agents and LLM applications built on Datadog's infrastructure platform. Provides end-to-end tracing, cost tracking, quality evaluations, and security detection across multi-agent workflows.
Paid
Langtrace
Langtrace: Open-source observability platform for LLM applications and AI agents with OpenTelemetry-based tracing, cost tracking, and performance analytics across 8+ model providers and 10+ frameworks.
Freemium
LangWatch
LangWatch: LLM observability and analytics platform for monitoring AI agent quality, costs, and user experience with real-time dashboards and automated guardrails.
Freemium
Laminar (LMNR)
Open-source observability platform for AI agents with trace capture, step-restart debugging, browser session recording, and natural language pattern detection. Self-host free or use managed cloud from $30/month.
Free / From $30/month
Phoenix by Arize
Open-source AI observability and evaluation platform built on OpenTelemetry for tracing, debugging, and monitoring LLM applications and AI agents in production.
Free / Open Source + Paid Cloud
Splunk AI Assistant & Observability
Enterprise-grade AI-powered observability platform with specialized monitoring for AI agents, natural language querying, and intelligent troubleshooting. Features dedicated AI Agent Monitoring for LLM applications and agentic workflows, plus AI troubleshooting agents that automatically correlate signals and provide evidence-based root cause analysis.
Paid plans start at $15,000/year (5GB/day)
Sprig
AI-powered product experience platform that analyzes user behavior, surveys, and session replays to surface actionable insights.
Freemium
Arize Phoenix
Open-source LLM observability platform that helps debug AI applications through detailed tracing, evaluation, and prompt experimentation with notebook-first design.
Free (Open Source)
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