{
  "projects": [
    {
      "repo": "FennelFetish/qapyq",
      "stars": 163,
      "agent": false,
      "local": true,
      "cloud": true,
      "cloudflare": false,
      "docker": false,
      "maintenance_score": 20,
      "quality_score": 7,
      "agent_score": 54,
      "best_for": [
        "orchestrate AI workflows",
        "connect tools and services"
      ]
    },
    {
      "repo": "Skyvern-AI/skyvern",
      "stars": 22132,
      "agent": false,
      "local": true,
      "cloud": true,
      "cloudflare": false,
      "docker": true,
      "maintenance_score": 76,
      "quality_score": 49,
      "agent_score": 88,
      "best_for": [
        "orchestrate AI workflows",
        "connect tools and services"
      ]
    },
    {
      "repo": "ohdearquant/lionagi",
      "stars": 398,
      "agent": true,
      "local": true,
      "cloud": true,
      "cloudflare": false,
      "docker": true,
      "maintenance_score": 59,
      "quality_score": 31,
      "agent_score": 70,
      "best_for": [
        "orchestrate AI workflows",
        "connect tools and services"
      ]
    },
    {
      "repo": "Pipelex/pipelex",
      "stars": 685,
      "agent": true,
      "local": true,
      "cloud": true,
      "cloudflare": false,
      "docker": false,
      "maintenance_score": 53,
      "quality_score": 28,
      "agent_score": 67,
      "best_for": [
        "orchestrate AI workflows",
        "connect tools and services"
      ]
    }
  ],
  "winner": "Skyvern-AI/skyvern",
  "reasoning": "Skyvern-AI/skyvern has the strongest combined agent score and maintenance profile in this comparison.",
  "summary": "Skyvern-AI/skyvern leads 4 compared projects. Review the decision matrix before treating it as the default recommendation.",
  "stats": {
    "candidate_count": 4,
    "cloudflare_ready_count": 0,
    "docker_ready_count": 2,
    "local_ready_count": 4,
    "highest_agent_score": 88,
    "highest_quality_score": 49
  },
  "decision_matrix": [
    {
      "repo": "FennelFetish/qapyq",
      "strengths": [
        "Useful baseline candidate for comparison."
      ],
      "tradeoffs": [
        "Maintenance score is 20/100."
      ],
      "next_step": "Use as an alternative or fallback candidate."
    },
    {
      "repo": "Skyvern-AI/skyvern",
      "strengths": [
        "Leads this comparison context.",
        "Strong agent score at 88/100."
      ],
      "tradeoffs": [],
      "next_step": "Inspect score and graph before adopting."
    },
    {
      "repo": "ohdearquant/lionagi",
      "strengths": [
        "Useful baseline candidate for comparison."
      ],
      "tradeoffs": [],
      "next_step": "Use as an alternative or fallback candidate."
    },
    {
      "repo": "Pipelex/pipelex",
      "strengths": [
        "Useful baseline candidate for comparison."
      ],
      "tradeoffs": [],
      "next_step": "Use as an alternative or fallback candidate."
    }
  ],
  "next_actions": [
    {
      "label": "Open winning project",
      "href": "/projects/Skyvern-AI/skyvern",
      "kind": "project"
    },
    {
      "label": "Inspect graph",
      "href": "/graph/Skyvern-AI/skyvern",
      "kind": "graph"
    },
    {
      "label": "Find alternatives",
      "href": "/alternatives/Skyvern-AI/skyvern",
      "kind": "alternatives"
    },
    {
      "label": "Explain score",
      "href": "/score/Skyvern-AI/skyvern",
      "kind": "score"
    },
    {
      "label": "Get recommendations",
      "href": "/api/recommend?limit=5",
      "kind": "recommend"
    }
  ],
  "context": {},
  "project_ids": [
    "FennelFetish/qapyq",
    "Skyvern-AI/skyvern",
    "ohdearquant/lionagi",
    "Pipelex/pipelex"
  ],
  "requested_repos": [
    "FennelFetish/qapyq",
    "Skyvern-AI/skyvern",
    "ohdearquant/lionagi",
    "Pipelex/pipelex"
  ],
  "resolved_repos": [
    {
      "requested_id": "FennelFetish/qapyq",
      "resolved_id": "FennelFetish/qapyq",
      "resolution": "direct"
    },
    {
      "requested_id": "Skyvern-AI/skyvern",
      "resolved_id": "Skyvern-AI/skyvern",
      "resolution": "direct"
    },
    {
      "requested_id": "ohdearquant/lionagi",
      "resolved_id": "ohdearquant/lionagi",
      "resolution": "direct"
    },
    {
      "requested_id": "Pipelex/pipelex",
      "resolved_id": "Pipelex/pipelex",
      "resolution": "direct"
    }
  ],
  "order": "input",
  "metadata": {
    "source": "d1",
    "reason": "d1_query",
    "project_count": 829,
    "generated_at": "2026-07-07T18:03:00.303Z",
    "loaded_project_limit": 2000,
    "truncated": false
  }
}