Observability Tools for AI Agents
Logs, traces, and metrics for agent pipelines. Understand what your agents are doing and debug failures.
26 tools in this category
AgentHaus
Visual agent builder that exports production-ready TypeScript
AgentOpsMCP
Session replay, monitoring, and evaluation for AI agents
AgentuityMCPCLI
Full-stack cloud platform built 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
ContextForgeMCPCLI
Open-source MCP, A2A, and API gateway for AI agents
DAGWorksCLI
Open-source frameworks for reliable dataflows and agents
HatchetCLI
Durable task orchestration for agents and background jobs
HeliconeMCP
Open-source AI gateway and observability platform
InngestMCPCLI
Durable workflows and background jobs for AI agents
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
MastraMCPCLI
TypeScript framework for building and operating AI agents
OmnaraCLI
Control plane for supervising coding agents from anywhere
OpenlayerCLI
Evaluation, observability, and governance for production AI
OpenPipe
Fine-tuning and model optimization for production agents
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
Trigger.devMCPCLI
Durable background jobs and workflows for production AI agents