Detailed Introduction
HolmesGPT is a CNCF-hosted, cloud-native AI agent platform that automates alert investigation, analyzes multi-source observability data, identifies root causes, and provides remediation suggestions. It integrates with Prometheus, Kubernetes, Slack, Jira, and other mainstream tools, supporting diverse data sources and automated operations scenarios. HolmesGPT helps SRE and operations teams improve incident response efficiency and reduce MTTR.
Main Features
- Multi-source integration: Supports Prometheus, Kubernetes, AWS, Datadog, Loki, Helm, and other major cloud-native and monitoring platforms
- Agentic loop: Automated analysis, reasoning, and suggestions based on the agentic loop
- Automated investigation and remediation: Collects context, analyzes root causes, and generates remediation plans automatically
- Rich tool integration and extensibility: Custom data sources and runbooks, supports both CLI and SaaS deployment
- Data privacy and security: Read-only permissions, bring your own LLM API key, and strong data protection
Use Cases
- Automated incident investigation and root cause analysis for cloud-native infrastructure and applications
- SRE team alert response and collaboration
- Unified monitoring and event handling in multi-cloud and hybrid cloud environments
- Automated runbook execution and knowledge base integration
- Smart assistant for DevOps and ChatOps scenarios
Technical Features
- Python-based implementation with pluggable toolsets
- Agentic loop architecture combining LLMs and multi-source observability data
- Supports CLI and web interface for flexible deployment
- CNCF Sandbox project with active community and comprehensive documentation
- Licensed under Apache-2.0