Atlassian Opsgenie
Service-aware alerting, on-call, and incident orchestration.
HolmesGPT
AI-driven agent that diagnoses cloud incidents and suggests fixes.
HolmesGPT connects LLMs with live observability data to automatically investigate alerts, pinpoint root causes, and recommend remediations across dozens of cloud and monitoring tools.
Overview
Overview
HolmesGPT is an AI‑powered assistant designed for SREs and incident responders. It links large language models with real‑time observability data, enabling automatic investigation of alerts and generation of clear, actionable remediation steps.
Capabilities
The agent operates through an agentic loop, pulling information from over 20 built‑in integrations—including Kubernetes, Prometheus, ArgoCD, AWS RDS, and many logging and tracing systems. It can fetch alerts from sources like AlertManager, PagerDuty, or OpsGenie, analyze logs, metrics, and configuration, then write the findings back to Slack, ticketing platforms, or GitHub pull requests.
Deployment
HolmesGPT is available as a command‑line tool and via the Robusta SaaS platform. Users configure their LLM provider with an API key and can extend functionality with custom data sources or runbooks through simple YAML files or the SaaS UI.
Highlights
Agentic loop that queries multiple data sources in real time
Built‑in integrations with 20+ cloud, CI/CD, and observability platforms
Bidirectional workflow: fetch alerts and write analysis back to Slack, PagerDuty, Jira, etc.
Supports any LLM provider via configurable API key
Pros
- Extensive out‑of‑the‑box integrations reduce manual data gathering
- Works both as a CLI tool and via Robusta SaaS UI
- Customizable with user‑defined data sources and runbooks
- Leverages LLMs to produce natural‑language explanations and remediation steps
Considerations
- Some integrations are still in beta (e.g., GitHub, DataDog, NewRelic)
- Requires an external LLM API key, incurring usage costs
- End‑to‑end automation for certain systems (Slack, GitHub) is limited to beta or CLI only
- Initial setup may be complex for teams unfamiliar with observability tooling
Managed products teams compare with
When teams consider HolmesGPT, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Fit guide
Great for
- SREs who need rapid root‑cause analysis across heterogeneous cloud environments
- Incident response teams that want automated summaries written back to ticketing systems
- DevOps engineers looking to embed AI assistance into existing CI/CD and monitoring pipelines
- Organizations that already use Prometheus, AlertManager, or Robusta for observability
Not ideal when
- Small teams without any of the supported data sources or observability stack
- Environments that cannot expose API credentials for LLM providers
- Users seeking a fully managed UI with no CLI interaction (some features remain CLI‑only)
- Projects that require guaranteed production‑grade support for beta integrations
How teams use it
Alert investigation from Prometheus
HolmesGPT fetches the alert, queries metrics and logs, identifies the failing pod, and posts a concise root‑cause summary to AlertManager.
PagerDuty incident remediation
The agent retrieves the incident details, analyzes related logs, suggests a fix, and adds the recommendation as a comment on the PagerDuty ticket.
Kubernetes health check
By asking “what pods are unhealthy and why?”, HolmesGPT aggregates pod status, recent events, and log snippets to pinpoint the problematic service.
Custom runbook execution
When a known alert pattern matches a user‑provided runbook, HolmesGPT follows the steps automatically and reports completion.
Tech snapshot
Python78%
HTML10%
Jinja5%
TypeScript3%
Shell2%
CSS1%
Frequently asked questions
How do I install HolmesGPT?
Use the official CLI installer documented at holmesgpt.dev/installation/cli-installation or access the Robusta SaaS platform.
Which LLM providers are supported?
Any provider that offers an HTTP API key; configuration details are in the LLM Providers documentation.
Can HolmesGPT write back findings to my ticketing system?
Yes, it can post analysis to Slack, PagerDuty, OpsGenie, Jira, and GitHub (some integrations are currently beta).
How do I add a custom data source?
Provide a YAML toolset file via the `-t` flag for the CLI or upload it through the Robusta UI.
Is HolmesGPT free to use?
The core project is open source; usage of external LLM APIs may incur costs, and the Robusta SaaS offers a free trial tier.
Project at a glance
Active- Stars
- 1,747
- Watchers
- 1,747
- Forks
- 224
LicenseApache-2.0
Repo age1 year old
Last commit12 hours ago
Primary languagePython
Last synced 12 hours ago