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Observability Tools for AI Agents

Logs, traces, and metrics for agent pipelines. Understand what your agents are doing and debug failures.

40 tools in this category

AgentHaus logo

AgentHaus

Deployment · Observability

Visual agent builder that exports production-ready TypeScript

Private launchtypescript
AgentOps logo

AgentOpsMCP

Observability · Monitoring

Session replay, monitoring, and evaluation for AI agents

Freetypescript, python
Agentuity logo

AgentuityMCPCLI

Deployment · Hosting · Sandbox · Observability

Full-stack cloud platform built for AI agents

Freetypescript
Arga Labs logo

Arga LabsMCPCLI

Sandbox · Code Execution · Observability

Stateful service twins for testing and training AI agents

Free
Arize Phoenix logo

Arize PhoenixMCPCLI

Observability · Monitoring

Open-source tracing and evaluation for LLM applications

Freetypescript, python
Axiom logo

AxiomCLI

Observability · Monitoring · Data

Cloud-native logs, traces, and event data for agent systems

Freetypescript, python, go
Baserun logo

Baserun

Observability · Monitoring

Observability, testing, and evaluations for LLM applications

Freetypescript, python
BentoLabs AI logo

BentoLabs AI

Monitoring · Observability

Monitoring and learning for long-running AI agents

Freetypescript, python
Braintrust logo

BraintrustMCPCLI

Observability · Monitoring · Data

Evaluation, tracing, and prompt management for AI products

Freetypescript, python
Confident AI logo

Confident AIMCPCLI

Observability · Monitoring · Data

Evaluation and observability platform for reliable AI agents

Freepython
ContextForge logo

ContextForgeMCPCLI

Deployment · Observability · Auth

Open-source MCP, A2A, and API gateway for AI agents

Freepython
Coval logo

CovalMCPCLI

Observability · Monitoring · Audio

Simulation, evaluation, and monitoring for voice and chat agents

$100/month
DAGWorks logo

DAGWorksCLI

Code Execution · Data · Observability

Open-source frameworks for reliable dataflows and agents

Freepython
dari.dev logo

dari.devCLI

Deployment · Observability · Code Execution

Stateful model routing for applications and coding agents

Freetypescript
Galileo logo

Galileo

Observability · Monitoring · Data

AI observability and evaluations for reliable production agents

Freetypescript, python
Hatchet logo

HatchetCLI

Deployment · Code Execution · Observability

Durable task orchestration for agents and background jobs

Freetypescript, python, go, ruby
Helicone logo

HeliconeMCP

Observability · Monitoring

Open-source AI gateway and observability platform

Freetypescript, python
HUD logo

HUDMCPCLI

Sandbox · Code Execution · Observability

RL environments and scalable evaluations for AI agents

Freepython
HumanLayer logo

HumanLayerCLI

Code Execution · Deployment · Observability

Multiplayer IDE and cloud control plane for coding agents

Free
Inngest logo

InngestMCPCLI

Deployment · Code Execution · Observability

Durable workflows and background jobs for AI agents

Freetypescript, python, go
Laminar logo

LaminarMCPCLI

Observability · Monitoring

Tracing, evaluations, and debugging for AI agents

Freetypescript, python
Langfuse logo

LangfuseMCPCLI

Monitoring · Observability

Open-source LLM engineering platform: traces, evals, and prompts

Freetypescript, python
LangSmith logo

LangSmith

Observability · Monitoring

Framework-agnostic tracing, evaluation, and monitoring for agents

Freepython, typescript, go, java
Lemma logo

LemmaMCP

Observability · Monitoring

Production tracing and debugging for AI agents

Freetypescript, python
Mastra logo

MastraMCPCLI

Code Execution · Deployment · Observability

TypeScript framework for building and operating AI agents

Freetypescript
Omnara logo

OmnaraCLI

Observability · Communication · Code Execution

Control plane for supervising coding agents from anywhere

Freepython
Openlayer logo

OpenlayerCLI

Observability · Monitoring

Evaluation, observability, and governance for production AI

Freetypescript, python
OpenPipe logo

OpenPipe

Data · Observability · Deployment

Fine-tuning and model optimization for production agents

Freetypescript, python
Parea logo

Parea

Observability · Monitoring

Evaluation and observability for LLM applications and agents

Freetypescript, python
Portkey logo

PortkeyMCPCLI

Observability · Monitoring

AI Gateway for 1600+ LLMs — observability, guardrails, and governance in one platform

Freetypescript, python
PostHog logo

PostHogMCPCLI

Observability · Monitoring · Data

Product analytics and observability for agent experiences

Freetypescript, python, go, java
Promptfoo logo

PromptfooCLI

Observability · Monitoring · Auth

Open-source evaluations and red teaming for LLM applications and agents

Freetypescript
Respan logo

Respan

Observability · Monitoring · Deployment

AI gateway, evaluations, and observability for agents

Freetypescript, python
Runloop logo

Runloop

Sandbox · Code Execution · Observability

Persistent development sandboxes and benchmarks for coding agents

Freetypescript, python
Sentry logo

SentryMCPCLI

Monitoring · Observability

Full-stack error, performance, and AI agent monitoring

Freejavascript, python, go, java, ruby
Superagent logo

Superagent

Auth · Monitoring · Observability

Security scans, guardrails, and red teaming for AI-native software

Free
TensorZero logo

TensorZeroCLI

Observability · Monitoring · Data

Open-source gateway, observability, and optimization stack for LLM applications

Freepython
Traceloop logo

Traceloop

Observability · Monitoring

OpenTelemetry observability for LLM and agent applications

Freetypescript, python
Trigger.dev logo

Trigger.devMCPCLI

Deployment · Code Execution · Observability

Durable background jobs and workflows for production AI agents

Freetypescript
Telemetry logo

Telemetry

Observability · Data · Monitoring

Structured events and SQL for coding agents

Freejavascript, typescript, python, go, rust

How to compare Observability tools

Logs, traces, and metrics for agent pipelines. Understand what your agents are doing and debug failures. Start by writing down the action the agent must complete, the data it may access, and the evidence an operator needs after the run. Those requirements are more useful than comparing long feature lists without a workload.

Test two or three providers with the same input set. Compare output quality, latency, error behavior, authentication, SDK fit, usage limits, and total cost at the expected volume. Verify whether retries are safe and whether the service exposes enough logs or identifiers to investigate a failed agent run.

4agent does not treat inclusion as an endorsement. Listings summarize public integration details and link to each provider so you can confirm current documentation, pricing, regional availability, data handling, and service terms before adoption.

Sources and verification

Use these primary sources to verify current behavior before making an implementation or purchasing decision. Product capabilities, limits, and prices can change after a 4agent listing is reviewed.