Open-source observability for AI agents to find failures, dispatch fixes, and verify against real traces. latitude.so ↗
Latitude LLM is an MIT-licensed, open-source AI agent observability platform built around a closed-loop "Observe → Understand → Refine" cycle, with a differentiating hook: its MCP server can dispatch a coding agent (Claude Code, Cursor) to open a PR when a failure signal is detected, something no direct competitor currently does end-to-end. The platform is early-stage and vendor-produced comparison content dominates the search results, so independent validation of marketing claims (e.g. "80% reduction in critical errors") is absent. The managed cloud offering is EU-only (AWS eu-central-1/Frankfurt), which is a hard blocker for teams with non-EU data residency mandates unless they self-host. Pricing is credit-based with the credit-to-activity conversion deliberately unpublished, making cost forecasting at enterprise scale essentially impossible without a direct vendor conversation. Enterprises evaluating this space should treat the "closed loop" story as genuinely interesting but unproven at scale, and pressure-test the V1-to-V2 migration break before committing.