Operations 9 min read

Tired of Manually Sifting Through Monitoring? Meet Ongrid, the Ops‑World’s OpenClaw

Ongrid is an open‑source AI Ops agent that integrates with Slack, DingTalk and other chat platforms, automatically detects alerts, performs root‑cause analysis using a built‑in Prometheus/Loki/Tempo/Grafana stack, and can even remediate issues—all without opening inbound ports, offering browser‑based shells and one‑click deployment via install.sh.

Java Companion
Java Companion
Java Companion
Tired of Manually Sifting Through Monitoring? Meet Ongrid, the Ops‑World’s OpenClaw

What Is Ongrid

Ongrid is an AI‑powered operations agent that knows which services run on your servers, pinpoints the source of alerts, and can automatically apply fixes. It connects to Slack, Telegram, Feishu, DingTalk and Enterprise WeChat, allowing operators to interact via familiar chat tools.

The agent bundles a complete observability stack—Prometheus, Loki, Tempo and Grafana—so it can generate its own queries, analyze metrics, logs and traces, and present findings without hopping between multiple systems.

It supports a wide range of large‑language models, including Anthropic, OpenAI, GLM, DeepSeek, Gemini and Kimi, which can be swapped without restarting the service.

Feature Details

Two‑Layer Agent Architecture

Ongrid separates responsibilities into a Coordinator and several specialist sub‑agents (SRE, network, DB, etc.). When an alert arrives, the Coordinator decides which expert agent should handle it and forwards the task, preventing a single agent from becoming overloaded and preserving context.

Automatic Alert Tracing

Upon alert triggering, an Investigator launches an RCA Worker that traverses the topology, correlates metrics and logs, follows trace links, and finally returns the root cause and supporting evidence to the chat window.

Deep RCA

The RCA process walks the dependency graph layer by layer, stitching together metrics, logs and traces until it pins the problem down to a specific source‑code line, dramatically faster than manual log inspection.

Edge Agent with Zero Inbound Ports

Unlike traditional solutions that require opening SSH (22), HTTP (80) or HTTPS (443) ports, Ongrid’s Edge Agent initiates outbound connections, eliminating the need for any inbound ports and improving security.

Browser‑Based Interactive Shell

Through a reverse tunnel, Ongrid opens an interactive shell directly in the browser, removing the need for SSH keys or jump hosts while automatically recording an audit log for every command.

One‑Command Deployment

install.sh

pulls the entire stack—Prometheus, Loki, Tempo, Grafana—and configures the agents to generate queries automatically, sparing users from manual setup.

Read‑Only Inspection Toolbox

A Bash sandbox ships with more than 26 diagnostic tools. The agent invokes these tools to gather evidence, logs each invocation, and operates in read‑only mode to avoid unintended changes.

Quick Start

Ongrid runs on Ubuntu 22.04+, Debian 12+, and RHEL/Rocky 9, supporting both AMD64 and ARM64 architectures.

Download the appropriate release, extract it, and execute install.sh:

wget https://github.com/ongridio/ongrid/releases/download/v0.9.0/ongrid-v0.9.0-linux-amd64.tar.xz
tar -xf ongrid-v0.9.0-linux-amd64.tar.xz && cd ongrid-v0.9.0-linux-amd64
sudo ./install.sh

For ARM64, replace the URL accordingly. Users with slow GitHub access in China can use the CDN mirrors provided.

After installation, connect the agent to Slack or DingTalk, configure a model API key, and start using the system.

Interface Overview

Root‑Cause Analysis View

Aggregates topology, devices, metrics, logs and change context to produce evidence‑backed RCA reports and next‑step recommendations.

Workflow Orchestration

Chains triggers, agents, tools, conditions and notification nodes into reusable, editable automation flows.

Skill Catalog

Lists the tools each agent can invoke, with descriptions and boundaries, giving operators clear visibility of automation capabilities.

MCP Server Integration

Registers external MCP servers to bring Grafana, Kubernetes, PagerDuty, GitHub or internal platforms into a unified governance list.

Knowledge Base

Indexes runbooks, incident records, architecture notes and code repositories so both humans and agents share the same context.

Artifact Center

Stores pages and reports generated by agents and workflows, defaulting to private visibility for easy review and hand‑off.

Monitoring Dashboard

Shows host health, logs, traces and alert status in a single workspace, facilitating evidence collection for RCA.

Topology Map

Visualizes dependencies among services, clusters, devices and fault domains to assess impact scope.

Approval Gate

Routes high‑risk actions through an approval and policy gate, preventing agents from directly modifying production systems.

Final Thoughts

Ongrid’s role is simple: the agent discovers problems, while humans make the final decision. Although still early in its open‑source life and limited to Linux servers, its zero‑inbound‑port design and browser‑based shell address common internal‑network constraints.

AI‑driven remediation should be tested in non‑production environments first, as the current risk lies in automated changes to live systems.

For teams already using Prometheus and Grafana and wanting alert triage directly in Slack or DingTalk, Ongrid is worth a trial.

https://github.com/ongridio/ongrid
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automationObservabilityOpen SourceRoot Cause AnalysisChatOpsAI OpsOngrid
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