Latitude

Latitude is an open-source, MIT-licensed platform for improving production AI agents. It helps teams capture real agent traffic, understand what is going wrong, and turn repeated failures into tracked signals you can monitor and fix. The product is organized around the loop you work in every day: Observe, Understand, Refine. It is designed to be run or hosted by teams, with self-hosting and a managed version available.

Observe, Understand, and Refine describe the lifecycle Latitude supports. Observe collects agent telemetry, turning interactions into traces and sessions for review. Understand groups signals and behaviors to reveal patterns and trends. Refine turns findings into guardrails, monitors, and datasets for testing and deployment. Open source and MIT licensed, Latitude emphasizes human-aligned monitoring and shared workflows.

Latitude emphasizes agent-native telemetry, semantic discovery, and signal-centric workflows. It integrates annotations, flaggers, scores, and evaluations to keep automated monitoring connected to human judgment. The platform is designed to be self-hosted or run as Latitude Cloud, with open access to source code and contribution opportunities.

Latitude is built to be deployed with an emphasis on open-source accessibility and community contribution. It supports a workflow where signals, behaviors, and evaluations come together to identify, track, and fix production AI agent failures. The design aims to avoid vendor lock-in and to allow teams to audit how data is handled while adapting the platform to their needs.

Use cases

• Observe production agent traffic to capture traces and sessions for multi-turn conversations.
• Understand patterns and signals to identify recurring failures and trends.
• Refine by turning learnings into monitors, evaluations, and datasets for testing.