Monitoring Tools for AI Agents
Track application performance, uptime, and health. Agents can self-diagnose and respond to incidents.
19 tools in this category
AgentOpsMCP
Session replay, monitoring, and evaluation for AI agents
Arize PhoenixMCPCLI
Open-source tracing and evaluation for LLM applications
Baserun
Observability, testing, and evaluations for LLM applications
BentoLabs AI
Monitoring and learning for long-running AI agents
BraintrustMCPCLI
Evaluation, tracing, and prompt management for AI products
Confident AIMCPCLI
Evaluation and observability platform for reliable AI agents
Credal.aiMCPCLI
Security and governance control plane for enterprise agents
GolfMCPCLI
Security and governance infrastructure for MCP tools
HeliconeMCP
Open-source AI gateway and observability platform
LaminarMCPCLI
Tracing, evaluations, and debugging for AI agents
LangfuseMCPCLI
Open-source LLM engineering platform: traces, evals, and prompts
LemmaMCP
Production tracing and debugging for AI agents
LiteLLMMCPCLI
Open-source gateway for calling 100+ LLM APIs
OpenlayerCLI
Evaluation, observability, and governance for production AI
Parea
Evaluation and observability for LLM applications and agents
PortkeyMCPCLI
AI Gateway for 1600+ LLMs — observability, guardrails, and governance in one platform
PostHogMCPCLI
Product analytics and observability for agent experiences
Respan
AI gateway, evaluations, and observability for agents
Traceloop
OpenTelemetry observability for LLM and agent applications