{
  "schema_version": "openagent.agent_resource_packet.v1",
  "id": "res_mlflow",
  "slug": "mlflow",
  "name": "MLflow",
  "canonical_url": "https://www.openagent.bot/tools/mlflow",
  "category": "tools",
  "resource_type": "tool",
  "summary": "MLflow is an open-source AI engineering platform for tracking experiments, evaluating agents and LLM apps, managing models, and monitoring production systems. It is increasingly relevant to teams moving agents from prototypes into production.",
  "capabilities": [
    "workflow",
    "automation"
  ],
  "constraints": [
    "open-source"
  ],
  "scenarios": [
    "self-hosted-ai"
  ],
  "deployment_modes": [
    "self_hosted",
    "cloud"
  ],
  "interfaces": [
    "repo",
    "docs"
  ],
  "integrations": [],
  "permission_surface": [],
  "risk_level": "low",
  "source_confidence": "high",
  "recommended_workflows": [
    "Browser automation",
    "Evaluation and observability",
    "Reusable skill workflow"
  ],
  "avoid_when": [
    "Solo users who only need a lightweight prompt test file",
    "Teams looking for an agent framework rather than an engineering platform"
  ],
  "primary_actions": [
    "Inspect repository",
    "Open Homepage",
    "Read setup docs"
  ],
  "evidence_urls": [
    "https://github.com/mlflow/mlflow",
    "https://mlflow.org",
    "https://mlflow.org/docs/latest/index.html"
  ],
  "last_verified_at": "2026-06-09",
  "machine_readable": {
    "json_url": "https://www.openagent.bot/tools/mlflow.json",
    "markdown_url": "https://www.openagent.bot/tools/mlflow.md",
    "agent_json_url": "https://www.openagent.bot/tools/mlflow.agent.json"
  }
}