superloglabs/superlog

Open-source observability tool that uses AI agents to self-heal your software

What it solves

Superlog provides an agentic telemetry system to help teams debug production systems. It solves the problem of noisy telemetry signals (traces, logs, and metrics) by grouping them into incidents, allowing developers to move from raw data to actionable insights without manually sifting through logs.

How it works

Superlog acts as an observability workspace for OpenTelemetry (OTLP) data. It uses an OTLP ingest proxy to collect data, worker processes to group signals into incidents, and a combination of Postgres and ClickHouse to store and query telemetry. It includes an agent runner interface that allows for pluggable investigation runtimes to analyze incidents.

Who it’s for

Developers and DevOps teams who need a local-first observability tool to manage and monitor infrastructure and monitor production systems.

Highlights

  • Agentic Telemetry: Uses agents to automate the investigation of incidents.
  • OpenTelemetry Support: Native ingestion of traces, logs, and metrics via OTLP.
  • Incident Grouping: Automatically groups noisy signals into cohesive incidents.
  • Open-Core: Provides a free community edition including the web app, API, and worker processes.

Related

  • Project
    papercomputeco/tapes

    An agentic telemetry system that provides durable storage and OpenTelemetry instrumentation for content-addressable LLM interactions.

  • Dispatch
    Superlog: Moving from Reactive Observability to Automated Resolution

    Superlog aims to automate the entire observability lifecycle, from one-prompt instrumentation to AI-driven bug fixes via pull requests.

  • Project
    Asymptote-Labs/agent-beacon

    Agent Beacon is an open‑source telemetry layer that automatically captures, normalises, and stores activity from dozens of AI‑agent runtimes (local CLIs, browser chats, CI jobs, cloud SDKs). It writes a unified JSONL log on the endpoint, offers a local read‑only dashboard, and can forward data to any major SIEM, log‑aggregation service, or object storage. Packages for macOS, Linux, and Windows support MDM‑style fleet deployment, and an offline rule engine (`beacon scan`) enables threat detection without network access.

  • Project
    monocle2ai/monocle

    An open-source observability and testing framework for GenAI apps and agents that uses OpenTelemetry to provide structured tracing and trace-based assertions.

  • Project
    comet-ml/opik

    An open-source LLM observability and evaluation platform for tracing AI agents, managing prompts, and monitoring production LLM applications.