HolmesGPT/holmesgpt

Health v2 · maintenance only

Adoption not part of the score

3148 stars · 454 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

HolmesGPT is an open-source AI agent (CNCF Sandbox project) that investigates production incidents and finds root causes by querying live observability data from sources like Kubernetes, Prometheus, Grafana, and Datadog. It supports an agentic loop, background operator mode with scheduled health checks, and integrations with Slack, Jira, PagerDuty, and any LLM provider.

Use cases

• investigate kubernetes pod crashloop root cause
• automate incident triage with an LLM agent
• get slack alerts with AI root cause analysis
• run scheduled health checks on my services
• troubleshoot prometheus alerts automatically
• find root cause of production incidents with AI
• connect datadog and grafana to an AI SRE agent

When to choose

• you run Kubernetes or cloud infrastructure and want automated incident investigation
• you want an AI agent that queries live observability data instead of static docs
• you need alert enrichment and root cause analysis piped into Slack, Jira, or PagerDuty
• you want background 24/7 problem detection with operator mode

When to avoid

• you need a lightweight metrics scraper or dashboard rather than an LLM agent
• you cannot send infrastructure data to an LLM provider due to compliance constraints
• you want a general-purpose chatbot unrelated to ops or observability

Facets

application · maturity active

agent-framework llm-inference monitoring alerting chatbot rag monitoring artificial-intelligence large-language-models self-hosted python self-hosted cli sre incident-response root-cause-analysis observability aiops chatops prometheus kubernetes slack jira cncf devops ai-agents docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="HolmesGPT/holmesgpt")