Latitude is an open-source observability platform for AI agents that enables monitoring, debugging, and automated remediation of agent failures.
The platform addresses the challenge of understanding why AI agents fail and fixing those failures at scale. It captures detailed traces of agent execution, surfaces where errors occur, and integrates a coding agent that can automatically generate and test fixes against real execution traces. This approach combines observability with automated remediation, allowing teams to identify failure patterns and resolve them without manual intervention for each occurrence.
Teams building production AI agents should adopt this tool if they need visibility into agent behavior and want to reduce the manual effort of debugging and fixing failures. It suits projects where agents run at scale and failures need rapid resolution. The platform is particularly valuable when you want to move beyond passive monitoring toward active self-healing systems that can detect and correct their own errors.
The project maintains active development with regular commits and builds passing consistently. The tool is distributed across multiple package ecosystems, with both Node.js and Python implementations available for integration into different technology stacks.
