What is HeliosLogs?
Welcome to the HeliosLogs documentation. HeliosLogs is a log search and analysis engine — point your logs at it and search, analyze, visualize, alert on, and investigate them from one self-contained process, with no external database to run.
It combines schema-on-read ingestion, a pipelined query language, dashboards, threshold and AI-driven monitoring, an in-app AI investigation agent, and a built-in MCP server — all served by a helios serve process that scales from a laptop to a multi-node cluster.
Where to start
- New to HeliosLogs? Read Core concepts for the mental model, then the Architecture overview.
- Want to run it now? Follow the Quickstart, then get your data in.
- Ready to dig into your logs? Learn the query language and pipeline operators, then assemble dashboards.
- Staying ahead of incidents? Set up monitors and alerts, or investigate with the AI agent.
- Running it in production? See administration & security and deployment.
- Looking something up? Browse the Configuration reference and the Query cheat sheet.