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Superlog is an open-source agentic observability platform that watches your production systems, groups noisy signals into incidents, and dispatches AI agents to investigate root causes — all the way to opening a fix PR in your repository. Whether you run it locally or on Superlog Cloud, you get a complete telemetry workspace that works while you sleep.

Introduction

Learn what Superlog is, how it fits into your workflow, and which edition is right for you.

Quickstart

Send your first OpenTelemetry data and trigger your first AI investigation in minutes.

GitHub Integration

Connect GitHub so Superlog can inspect your code and open automated fix PRs.

MCP Server

Use the Superlog MCP server to bring incident context directly into your coding agent.

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How it works

Superlog takes you from raw telemetry to an automated fix in four straightforward steps.
1

Instrument your application

Add OpenTelemetry instrumentation to your app and point the OTLP exporter at your Superlog ingest endpoint. Use the one-line agent prompt to let a coding agent handle the wiring for you.
2

Telemetry flows in

Superlog’s ingest proxy receives your traces, logs, and metrics over OTLP and stores them for fast, high-cardinality queries.
3

Errors are grouped into incidents

The background worker fingerprints incoming errors and groups related signals into incidents, cutting through the noise so you see one item instead of thousands.
4

AI agent investigates and opens a PR

When an incident is detected, an AI agent inspects the traces, diffs your repository, and opens a pull request with a proposed fix — ready for your review.
Superlog is fully open-source under the Apache 2.0 license. You can self-host the Community edition for free, or use Superlog Cloud for a managed experience with a free tier.