AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻譯準備中
An ops AI Agent that understands your infrastructure, finds the root cause, and fixes it — right from Slack, Telegram, Lark or DingTalk.
翻譯準備中
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檢視完整 README ↗An ops AI Agent that understands your infrastructure, finds the root cause, and fixes it — right from Slack or Telegram.
Metrics · logs · traces · topology blast-radius · root-cause correlation · remote execution · alert-driven auto-investigation · RAG knowledge & code search · specialist agents & skills.
English | 简体中文 | 日本語 | 한국어 | Español | Français | Deutsch | Português | Русский
Features • Install • Integrations • License
install.sh brings up the full stackDownload the latest release for your server architecture (linux-amd64 or linux-arm64), extract it, and run the installer (Ubuntu 22.04+, Debian 12+, RHEL/Rocky 9):
Choose the command for your server architecture:
AMD64
wget https://github.com/ongridio/ongrid/releases/download/v0.19.0/ongrid-v0.19.0-linux-amd64.tar.xz
tar -xf ongrid-v0.19.0-linux-amd64.tar.xz && cd ongrid-v0.19.0-linux-amd64
sudo ./install.sh
ARM64
wget https://github.com/ongridio/ongrid/releases/download/v0.19.0/ongrid-v0.19.0-linux-arm64.tar.xz
tar -xf ongrid-v0.19.0-linux-arm64.tar.xz && cd ongrid-v0.19.0-linux-arm64
sudo ./install.sh
🇨🇳 Mainland China — if GitHub is slow, use the matching CDN mirror URL instead:
# AMD64
wget https://ongrid.cloud/dl/ongrid-v0.19.0-linux-amd64.tar.xz
# ARM64
wget https://ongrid.cloud/dl/ongrid-v0.19.0-linux-arm64.tar.xz
Start from an operator question or alert, collect topology and device context, and produce an evidence-backed analysis with concrete next steps.
Wire triggers, agents, tools, conditions, and notifications into repeatable automations that stay editable and reviewable.
Show the tools agents can call, with clear descriptions and a visible inventory for operators.
Register external MCP servers and expose their tools to chat agents and workflows with clear runtime and trust boundaries.
Index runbooks, notes, incident history, and repositories so both humans and agents can search the same operational context.
Keep generated pages and reports in one place, with private-by-default sharing and a clean handoff for review.
Inspect fleet health, logs, traces, and alert state from the same workspace where the agent gathers evidence.
Visualize dependencies and blast radius so incidents can be traced through the affected service graph.
Keep risky actions behind approvals, with a visible policy boundary before anything changes production systems.
The full product documentation is available at ongrid.cloud.
| Area | Start here |
|---|---|
| Get started | Introduction · Quickstart · Architecture · Concepts |
| Install & operate | Server install · Edge install · First boot · Upgrade |
| Capabilities | Alerts · RCA · Monitoring · Logs · Traces · Knowledge · Skills |
| Agents | Overview · Coordinator · · · |
Drop-in for the observability, channel, and model stacks your team already uses.
| Observability | |
| Channels | |
| Models |
AGPLv3 — see LICENSE.
Ongrid brand assets are not licensed under AGPLv3. See TRADEMARK.md.
| Reference | API · CLI · Alert rules · Skill manifest · Data plane |