{
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    {
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  "winner": "chroma-core/chroma",
  "reasoning": "chroma-core/chroma has the strongest combined agent score and maintenance profile in this comparison.",
  "summary": "chroma-core/chroma leads 4 compared projects. Review the decision matrix before treating it as the default recommendation.",
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        "Useful baseline candidate for comparison."
      ],
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        "Maintenance score is 32/100."
      ],
      "next_step": "Use as an alternative or fallback candidate."
    },
    {
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      "strengths": [
        "Leads this comparison context.",
        "Strong agent score at 89/100."
      ],
      "tradeoffs": [],
      "next_step": "Inspect score and graph before adopting."
    },
    {
      "repo": "framerslab/agentos",
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      ],
      "tradeoffs": [],
      "next_step": "Use as an alternative or fallback candidate."
    },
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      "repo": "letta-ai/letta",
      "strengths": [
        "Strong agent score at 81/100."
      ],
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        "Maintenance score is 47/100."
      ],
      "next_step": "Use as an alternative or fallback candidate."
    }
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      "label": "Inspect graph",
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      "kind": "graph"
    },
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      "label": "Find alternatives",
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    },
    {
      "label": "Explain score",
      "href": "/score/chroma-core/chroma",
      "kind": "score"
    },
    {
      "label": "Get recommendations",
      "href": "/api/recommend?limit=5",
      "kind": "recommend"
    }
  ],
  "context": {},
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    "anaslimem/CortexaDB",
    "chroma-core/chroma",
    "framerslab/agentos",
    "letta-ai/letta"
  ],
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    "chroma-core/chroma",
    "framerslab/agentos",
    "letta-ai/letta"
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  "resolved_repos": [
    {
      "requested_id": "anaslimem/CortexaDB",
      "resolved_id": "anaslimem/CortexaDB",
      "resolution": "direct"
    },
    {
      "requested_id": "chroma-core/chroma",
      "resolved_id": "chroma-core/chroma",
      "resolution": "direct"
    },
    {
      "requested_id": "framerslab/agentos",
      "resolved_id": "framerslab/agentos",
      "resolution": "direct"
    },
    {
      "requested_id": "letta-ai/letta",
      "resolved_id": "letta-ai/letta",
      "resolution": "direct"
    }
  ],
  "order": "input",
  "metadata": {
    "source": "d1",
    "reason": "d1_query",
    "project_count": 822,
    "generated_at": "2026-07-07T14:23:12.618Z",
    "loaded_project_limit": 2000,
    "truncated": false
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}