{
  "projects": [
    {
      "repo": "Andrew-Jang/RAGHub",
      "stars": 1958,
      "agent": false,
      "local": true,
      "cloud": true,
      "cloudflare": false,
      "docker": false,
      "maintenance_score": 30,
      "quality_score": 17,
      "agent_score": 73,
      "best_for": [
        "build RAG applications",
        "connect private data to LLMs"
      ]
    },
    {
      "repo": "infiniflow/ragflow",
      "stars": 85112,
      "agent": true,
      "local": true,
      "cloud": true,
      "cloudflare": false,
      "docker": true,
      "maintenance_score": 76,
      "quality_score": 84,
      "agent_score": 90,
      "best_for": [
        "build RAG applications",
        "connect private data to LLMs"
      ]
    },
    {
      "repo": "mem0ai/mem0",
      "stars": 60910,
      "agent": true,
      "local": true,
      "cloud": true,
      "cloudflare": false,
      "docker": true,
      "maintenance_score": 76,
      "quality_score": 84,
      "agent_score": 91,
      "best_for": [
        "build RAG applications",
        "connect private data to LLMs"
      ]
    },
    {
      "repo": "langchain-ai/langgraph",
      "stars": 37320,
      "agent": true,
      "local": true,
      "cloud": true,
      "cloudflare": false,
      "docker": false,
      "maintenance_score": 69,
      "quality_score": 79,
      "agent_score": 85,
      "best_for": [
        "build RAG applications",
        "connect private data to LLMs"
      ]
    }
  ],
  "winner": "mem0ai/mem0",
  "reasoning": "mem0ai/mem0 has the strongest combined agent score and maintenance profile in this comparison.",
  "summary": "mem0ai/mem0 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": 91,
    "highest_quality_score": 84
  },
  "decision_matrix": [
    {
      "repo": "Andrew-Jang/RAGHub",
      "strengths": [
        "Useful baseline candidate for comparison."
      ],
      "tradeoffs": [
        "Maintenance score is 30/100."
      ],
      "next_step": "Use as an alternative or fallback candidate."
    },
    {
      "repo": "infiniflow/ragflow",
      "strengths": [
        "Strong agent score at 90/100.",
        "Strong quality score at 84/100."
      ],
      "tradeoffs": [],
      "next_step": "Use as an alternative or fallback candidate."
    },
    {
      "repo": "mem0ai/mem0",
      "strengths": [
        "Leads this comparison context.",
        "Strong agent score at 91/100.",
        "Strong quality score at 84/100."
      ],
      "tradeoffs": [],
      "next_step": "Inspect score and graph before adopting."
    },
    {
      "repo": "langchain-ai/langgraph",
      "strengths": [
        "Strong agent score at 85/100.",
        "Strong quality score at 79/100."
      ],
      "tradeoffs": [],
      "next_step": "Use as an alternative or fallback candidate."
    }
  ],
  "next_actions": [
    {
      "label": "Open winning project",
      "href": "/projects/mem0ai/mem0",
      "kind": "project"
    },
    {
      "label": "Inspect graph",
      "href": "/graph/mem0ai/mem0",
      "kind": "graph"
    },
    {
      "label": "Find alternatives",
      "href": "/alternatives/mem0ai/mem0",
      "kind": "alternatives"
    },
    {
      "label": "Explain score",
      "href": "/score/mem0ai/mem0",
      "kind": "score"
    },
    {
      "label": "Get recommendations",
      "href": "/api/recommend?limit=5",
      "kind": "recommend"
    }
  ],
  "context": {},
  "project_ids": [
    "Andrew-Jang/RAGHub",
    "infiniflow/ragflow",
    "mem0ai/mem0",
    "langchain-ai/langgraph"
  ],
  "requested_repos": [
    "Andrew-Jang/RAGHub",
    "infiniflow/ragflow",
    "mem0ai/mem0",
    "langchain-ai/langgraph"
  ],
  "resolved_repos": [
    {
      "requested_id": "Andrew-Jang/RAGHub",
      "resolved_id": "Andrew-Jang/RAGHub",
      "resolution": "direct"
    },
    {
      "requested_id": "infiniflow/ragflow",
      "resolved_id": "infiniflow/ragflow",
      "resolution": "direct"
    },
    {
      "requested_id": "mem0ai/mem0",
      "resolved_id": "mem0ai/mem0",
      "resolution": "direct"
    },
    {
      "requested_id": "langchain-ai/langgraph",
      "resolved_id": "langchain-ai/langgraph",
      "resolution": "direct"
    }
  ],
  "order": "input",
  "metadata": {
    "source": "d1",
    "reason": "d1_query",
    "project_count": 958,
    "generated_at": "2026-07-16T17:01:23.737Z",
    "snapshot_id": "d1:958:2026-07-16T17:00:57.869Z",
    "latest_synced_at": "2026-07-16T17:00:57.869Z",
    "schema_version": "git-top.knowledge.v1",
    "loaded_project_limit": 2000,
    "truncated": false
  }
}