Holmesgpt

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HolmesGPT is an open-source AI agent for DevOps & Infrastructure that investigates production incidents and identifies root causes. It integrates with various observability platforms and can run 24/7 in operator mode to proactively spot problems.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is holmesgpt?

HolmesGPT is an open-source AI agent designed to investigate production incidents and pinpoint root causes across diverse infrastructure stacks, including Kubernetes, VMs, and cloud providers. As a CNCF Sandbox project, it offers robust features like petabyte-scale data handling with server-side filtering and memory-safe execution to prevent OOM kills during large data queries. It boasts deep integrations with popular observability tools such as Prometheus, Grafana, Datadog, and Kubernetes, alongside bidirectional alert integrations with platforms like AlertManager, PagerDuty, and Jira. A key differentiator is its 'Operator Mode,' which allows HolmesGPT to run continuously, detect issues before they impact customers, and even open PRs to fix identified problems, making it a proactive SRE solution.

Best used for

Ideal for developers who need to automate the investigation of production incidents, proactively identify root causes, and continuously monitor system health. Especially valuable for SRE teams looking to reduce mean time to resolution and prevent customer-facing issues through 24/7 background operations.

Common actions

investigate incidents

find root causes

monitor services

automate SRE tasks

troubleshoot systems

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Capabilities

Key features

Petabyte-scale data handling
Memory-safe execution
Deep observability integrations
Bidirectional alert integrations
Operator mode for 24/7 monitoring
Any LLM provider support
No Kubernetes required

Target Audience

developer

Integrations

prometheusgrafanadatadogkubernetesalertmanagerpagerdutyopsgeniejira+ 32 more

Pricing & Plans

Open Source

Free

FAQs

What is HolmesGPT's 'Operator Mode'?

Operator Mode allows HolmesGPT to run continuously in the background, proactively spotting problems before they impact customers. It can then message you in Slack with fixes or even open pull requests to resolve identified issues, automating incident prevention and response.

What types of data sources can HolmesGPT integrate with?

HolmesGPT integrates with a wide range of data sources, including observability platforms like Prometheus, Grafana, and Datadog, cloud providers such as AWS and Azure, databases like MongoDB and MariaDB, and SaaS platforms like Jira and ServiceNow. It supports server-side filtering for petabyte-scale data.

Does HolmesGPT require Kubernetes to run?

No, HolmesGPT does not require Kubernetes. While its operator can run in Kubernetes, the health checks and investigations can query any data source, making it compatible with various infrastructures including VMs, bare metal, and cloud services.

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This tool also appears in

AI Agents & Automation › Workflow Agents

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