ongridio/ongrid

An ops AI Agent that understands your infrastructure, finds the root cause, and fixes it — right from Slack, Telegram, Lark or DingTalk.

What it solves

Ongrid is an AI-powered operations agent designed to automate the investigation and resolution of infrastructure incidents. It reduces the manual effort required for SREs and operators to find root causes by correlating metrics, logs, and traces across a system's topology.

How it works

The system uses a coordinator agent that dispatches tasks to specialist agents (such as SRE, network, or database agents). It integrates with observability stacks (Prometheus, Loki, Tempo, Grafana) to gather evidence and can perform Root Cause Analysis (RCA) by walking the topology and pinning issues to specific source code lines. It operates via chat interfaces like Slack or Telegram and includes a "write gate" for human approval of risky production changes.

Who it’s for

Infrastructure engineers, Site Reliability Engineers (SREs), and DevOps teams who need to automate incident response and root cause analysis in complex distributed systems.

Highlights

Multi-Agent Architecture: Uses a coordinator and specialist agents for targeted troubleshooting.
Auto-Investigation: Automatically spawns RCA workers upon receiving alerts.
RAG Knowledge Base: Indexes runbooks, incident history, and code repositories for operational context.
Secure Access: Features a browser-based SSH reverse-tunnel shell that requires no inbound ports or jumpboxes.
Model Agnostic: Supports various LLMs including Anthropic, OpenAI, DeepSeek, and Gemini.
MCP Server Support: Allows registration of external Model Context Protocol (MCP) servers to extend agent capabilities.