Latitude

Open-source AI agent monitoring platform with observability, issue detection, and automated agent dispatch.

Overview

Latitude is an open-source AI agent monitoring and observability platform designed to help teams understand what's happening in production. It traces agent behavior, automatically detects failures and patterns, and can dispatch coding agents to fix issues before users complain.

The platform provides conversation intelligence to analyze completed sessions, groups recurring failures into actionable signals, and integrates with tools like Slack, email, and webhooks for alerting. It's built on OpenTelemetry standards with no vendor lock-in, and includes features like custom signal definitions, dataset management, human annotations, and semantic search across traces.

Latitude is MIT-licensed open source and can be set up in under 5 minutes. It's trusted by teams building agents at scale and has processed millions of spans and detected hundreds of thousands of issues.

Key features

OpenTelemetry compatible tracing
Automatic failure detection and clustering
Conversation intelligence analysis
Custom signal definitions
Agent dispatch for automated fixes
Dataset management for evals
Human annotations and feedback
Semantic search and advanced filters
Slack/email/webhook alerts
SOC 2 certified security

Pros

Open source MIT license with no vendor lock-in
Quick setup in under 5 minutes
Automatic issue discovery and clustering
Integrates with existing OpenTelemetry pipelines
Can dispatch coding agents to fix issues automatically
Enterprise security features available
Free tier with 20K credits/month

Cons

Free tier limited to 30 days data retention
Requires understanding of tracing and telemetry concepts
Enterprise features require custom pricing
Limited to 20K credits/month on free plan

Use this if

You're building AI agents and need production observability, want to automatically detect and fix failures, or need to understand agent behavior patterns at scale.

Skip this if

You're not using AI agents, don't need production monitoring, or prefer proprietary solutions with vendor lock-in.

Best for

Teams building AI agents in productionDebugging agent failures and behavior patternsImplementing AI engineering best practicesMonitoring conversation intelligence and user interactionsAutomating issue detection and remediation

Alternatives

LangsmithArizeDatadogNew RelicHoneycomb

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