superloglabs/superlog
Open-source observability tool that uses AI agents to self-heal your software
What it solves
Superlog provides a way to manage the noise of production telemetry data. It transforms raw traces, logs, and metrics into grouped incidents, allowing teams to debug production systems more efficiently without being overwhelmed by fragmented signals.
How it works
It functions as an observability workspace for OpenTelemetry data. The system consists of an OTLP ingest proxy that collects data, worker processes that group signals into incidents, and a storage layer using Postgres and ClickHouse. It also features agent runner interfaces that allow for pluggable investigation runtimes to analyze incidents.
Who it’s for
Developers and DevOps teams who use OpenTelemetry and need a local-first product surface for debugging and managing production infrastructure telemetry.
Highlights
- Agentic Telemetry: Uses agent runners to automate the investigation of incidents.
- OpenTelemetry Support: Native ingestion of traces, logs, and metrics via OTLP.
- Local-First: Provides a workspace for debugging production systems locally.
- Open-Core: Includes a web app, API, and worker processes in the community edition.