Tracer-Cloud/opensre

Health v2 · maintenance only

Adoption not part of the score

12172 stars · 1783 forks observed · 2026-10-19

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

OpenSRE is an open-source Python framework for building AI SRE agents that investigate incidents and perform root cause analysis on your infrastructure. It integrates with 60+ existing tools like Slack, Grafana, and Datadog, and provides a training and evaluation environment for the agents.

Use cases

• automate incident investigation and root cause analysis
• build custom AI SRE agents for my infrastructure
• analyze alerts from Slack, Grafana, and Datadog automatically
• triage on-call alerts with an LLM agent
• evaluate and train AI agents on incident response workflows
• automate remediation of production incidents

When to choose

• you want an open-source, self-hosted alternative to commercial AI SRE tools
• your team already uses Grafana, Datadog, or Slack and wants automated incident triage
• you need to build custom SRE workflows with LLM agents and your own tooling
• you want to experiment with agent-based root cause analysis in a public-alpha toolkit

When to avoid

• you need a fully stable, production-hardened product - it is in public alpha with evolving APIs
• you want a turnkey SaaS incident management platform rather than a build-your-own framework
• your observability stack is not among the supported integrations
• you cannot run LLM inference or send infrastructure data to models

Facets

framework · maturity experimental

agent-framework alerting monitoring llm-inference workflow-automation developer-tools monitoring large-language-models self-hosted python self-hosted cli ai-sre incident-management root-cause-analysis observability site-reliability-engineering remediation datadog grafana slack public-alpha devops ai-agents automation docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Tracer-Cloud/opensre")