{
  "projects": [
    {
      "repo": "walkererik1991/energyplus-idf-mcp-server",
      "stars": 0,
      "agent": false,
      "local": true,
      "cloud": true,
      "cloudflare": false,
      "docker": true,
      "maintenance_score": 6,
      "quality_score": 4,
      "agent_score": 45,
      "best_for": [
        "connect agents to tools",
        "expose APIs through MCP"
      ]
    },
    {
      "repo": "koala73/worldmonitor",
      "stars": 89864,
      "agent": true,
      "local": true,
      "cloud": true,
      "cloudflare": false,
      "docker": true,
      "maintenance_score": 66,
      "quality_score": 78,
      "agent_score": 89,
      "best_for": [
        "connect agents to tools",
        "expose APIs through MCP"
      ]
    },
    {
      "repo": "nirholas/XActions",
      "stars": 631,
      "agent": true,
      "local": true,
      "cloud": true,
      "cloudflare": true,
      "docker": true,
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      "quality_score": 16,
      "agent_score": 65,
      "best_for": [
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        "expose APIs through MCP"
      ]
    },
    {
      "repo": "xbtlin/ai-berkshire",
      "stars": 16956,
      "agent": true,
      "local": true,
      "cloud": true,
      "cloudflare": false,
      "docker": false,
      "maintenance_score": 34,
      "quality_score": 26,
      "agent_score": 69,
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        "expose APIs through MCP"
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    }
  ],
  "winner": "koala73/worldmonitor",
  "reasoning": "koala73/worldmonitor has the strongest combined agent score and maintenance profile in this comparison.",
  "summary": "koala73/worldmonitor leads 4 compared projects. Review the decision matrix before treating it as the default recommendation.",
  "stats": {
    "candidate_count": 4,
    "cloudflare_ready_count": 1,
    "docker_ready_count": 3,
    "local_ready_count": 4,
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    "highest_quality_score": 78
  },
  "decision_matrix": [
    {
      "repo": "walkererik1991/energyplus-idf-mcp-server",
      "strengths": [
        "Useful baseline candidate for comparison."
      ],
      "tradeoffs": [
        "Maintenance score is 6/100."
      ],
      "next_step": "Use as an alternative or fallback candidate."
    },
    {
      "repo": "koala73/worldmonitor",
      "strengths": [
        "Leads this comparison context.",
        "Strong agent score at 89/100.",
        "Strong quality score at 78/100."
      ],
      "tradeoffs": [],
      "next_step": "Inspect score and graph before adopting."
    },
    {
      "repo": "nirholas/XActions",
      "strengths": [
        "Useful baseline candidate for comparison."
      ],
      "tradeoffs": [
        "Maintenance score is 29/100."
      ],
      "next_step": "Use as an alternative or fallback candidate."
    },
    {
      "repo": "xbtlin/ai-berkshire",
      "strengths": [
        "Useful baseline candidate for comparison."
      ],
      "tradeoffs": [
        "Maintenance score is 34/100."
      ],
      "next_step": "Use as an alternative or fallback candidate."
    }
  ],
  "next_actions": [
    {
      "label": "Open winning project",
      "href": "/projects/koala73/worldmonitor",
      "kind": "project"
    },
    {
      "label": "Inspect graph",
      "href": "/graph/koala73/worldmonitor",
      "kind": "graph"
    },
    {
      "label": "Find alternatives",
      "href": "/alternatives/koala73/worldmonitor",
      "kind": "alternatives"
    },
    {
      "label": "Explain score",
      "href": "/score/koala73/worldmonitor",
      "kind": "score"
    },
    {
      "label": "Get recommendations",
      "href": "/api/recommend?limit=5",
      "kind": "recommend"
    }
  ],
  "context": {},
  "project_ids": [
    "walkererik1991/energyplus-idf-mcp-server",
    "koala73/worldmonitor",
    "nirholas/XActions",
    "xbtlin/ai-berkshire"
  ],
  "requested_repos": [
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    "koala73/worldmonitor",
    "nirholas/XActions",
    "xbtlin/ai-berkshire"
  ],
  "resolved_repos": [
    {
      "requested_id": "walkererik1991/energyplus-idf-mcp-server",
      "resolved_id": "walkererik1991/energyplus-idf-mcp-server",
      "resolution": "direct"
    },
    {
      "requested_id": "koala73/worldmonitor",
      "resolved_id": "koala73/worldmonitor",
      "resolution": "direct"
    },
    {
      "requested_id": "nirholas/XActions",
      "resolved_id": "nirholas/XActions",
      "resolution": "direct"
    },
    {
      "requested_id": "xbtlin/ai-berkshire",
      "resolved_id": "xbtlin/ai-berkshire",
      "resolution": "direct"
    }
  ],
  "order": "input",
  "metadata": {
    "source": "d1",
    "reason": "d1_query",
    "project_count": 1225,
    "generated_at": "2026-11-02T14:29:05.350Z",
    "snapshot_id": "d1:1225:2026-11-02T14:01:17.342Z",
    "latest_synced_at": "2026-11-02T14:01:17.342Z",
    "schema_version": "git-top.knowledge.v1",
    "loaded_project_limit": 2000,
    "truncated": false
  }
}