{
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    "name": "HippoRAG",
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    "description": "[NeurIPS'24] HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents. RAG + Knowledge Graphs + Personalized PageRank.",
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      "Vector database",
      "LLM provider"
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      "tl_dr": "Use OSU-NLP-Group/HippoRAG when the user needs a rag framework project with library_only, local, cloud deployment options.",
      "purpose": "Use OSU-NLP-Group/HippoRAG when the user needs a rag framework project with library_only, local, cloud deployment options.",
      "install": "Install as a library or package using the repository instructions.",
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        "embedding store"
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        "grounded answers",
        "indexes"
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        "index documents for retrieval",
        "retrieval augmented generation",
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        "knowledge grounding"
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        "edge-only Cloudflare Workers deployment without adaptation",
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            "Matched \"pip install\" in repository content.",
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      "href": "/api/compare?repos=OSU-NLP-Group/HippoRAG,mem0ai/mem0,winstonkoh87/Athena-Public,jaylfc/taosmd,deepset-ai/haystack,langchain-ai/langgraph",
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      "label": "Get recommendations",
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      "description": "Universal memory layer for AI Agents",
      "overview": "Use mem0ai/mem0 when the user needs a rag framework project with docker, vercel, serverless deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
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        "vercel",
        "serverless",
        "library_only",
        "local"
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        "users expecting a complete hosted product"
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          "evidence": [
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          "evidence": [
            "Matched \"vercel\" in repository content.",
            "Matched \"pip install\" in repository content.",
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            "Matched \"library\" in repository content.",
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        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "No strong beginner or advanced signal found; defaulting to intermediate."
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        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected."
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      "quality_signals": {
        "stars": 60420,
        "recent_commits": 100,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 86
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        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 17,
        "commits_30d": "partial",
        "releases_180d": "complete",
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      "quality_score": 82,
      "agent_score": 91,
      "score": 91,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 76,
        "deployment": 100,
        "popularity": 96,
        "community": 100
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        "maintenance": 84,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use mem0ai/mem0 when the user needs a rag framework project with docker, vercel, serverless deployment options.",
        "purpose": "Use mem0ai/mem0 when the user needs a rag framework project with docker, vercel, serverless deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "documents",
          "queries",
          "embedding store"
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          "retrieval results",
          "grounded answers",
          "indexes"
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          "build RAG applications",
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          "index documents for retrieval",
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          "knowledge grounding"
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        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "simple prompt apps",
          "tasks without external knowledge"
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          "vercel",
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          "library_only",
          "local"
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          "category": {
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            "evidence": [
              "Matched \"rag\" in metadata."
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          },
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            "confidence": "high",
            "evidence": [
              "Matched \"vercel\" in repository content.",
              "Matched \"pip install\" in repository content.",
              "Matched \"npm install\" in repository content.",
              "Matched \"library\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "No strong beginner or advanced signal found; defaulting to intermediate."
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          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 17,
          "commits_30d": "partial",
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        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: commits30d, contributors90d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-07-08T21:01:06.329Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: commits30d, contributors90d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
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        "agent_card.classification",
        "metrics"
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      "last_verified_at": "2026-07-08T21:01:06.329Z"
    },
    {
      "project_id": "winstonkoh87/Athena-Public",
      "repo": "winstonkoh87/Athena-Public",
      "name": "Athena-Public",
      "github_url": "https://github.com/winstonkoh87/Athena-Public",
      "homepage_url": "https://winstonkoh87.com/athena/",
      "language": "Python",
      "license": "MIT",
      "project_kind": "project",
      "category": [
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      "tags": [
        "ai",
        "ai-agents",
        "ai-assistant",
        "automation",
        "chatgpt",
        "developer-tools",
        "framework",
        "gemini",
        "google-antigravity",
        "graphrag",
        "knowledge-management",
        "llm",
        "local-first",
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        "open-source",
        "prompt-engineering",
        "python",
        "rag",
        "semantic-search",
        "vector-search"
      ],
      "description": "The Linux OS for AI Agents — Persistent memory, structured reasoning, and governed autonomy for any LLM. Own the state. Rent the intelligence.",
      "overview": "Use winstonkoh87/Athena-Public when the user needs a rag framework project with docker, library_only, local deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
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        "library_only",
        "local",
        "cloud"
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      "cloudflare_ready": false,
      "use_cases": [
        "build RAG applications",
        "connect private data to LLMs",
        "index documents for retrieval"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
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      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"rag\" in metadata."
          ]
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        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Matched \"library\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
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        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 513,
        "recent_commits": 29,
        "contributors": 3,
        "issue_response_time_hours": null,
        "release_frequency_180d": 15
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "estimated",
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
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      "quality_score": 24,
      "agent_score": 66,
      "score": 83,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 46,
        "deployment": 90,
        "popularity": 54,
        "community": 48
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      "git_top_score": 83,
      "git_top_score_breakdown": {
        "community": 78,
        "maintenance": 63,
        "documentation": 92,
        "stability": 100,
        "adoption": 78,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use winstonkoh87/Athena-Public when the user needs a rag framework project with docker, library_only, local deployment options.",
        "purpose": "Use winstonkoh87/Athena-Public when the user needs a rag framework project with docker, library_only, local deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
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          "queries",
          "embedding store"
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        "outputs": [
          "retrieval results",
          "grounded answers",
          "indexes"
        ],
        "good_for": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval",
          "retrieval augmented generation",
          "document search",
          "knowledge grounding"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "simple prompt apps",
          "tasks without external knowledge"
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        "deployment": [
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          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"rag\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"pip install\" in repository content.",
              "Matched \"library\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
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            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "estimated",
          "commits_30d": "complete",
          "releases_180d": "complete",
          "contributors_90d": "complete"
        },
        "source_fields": [
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          "project.topics",
          "project.language",
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          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: stars30dDelta."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-07-01T11:01:03.933Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: stars30dDelta."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-01T11:01:03.933Z"
    },
    {
      "project_id": "jaylfc/taosmd",
      "repo": "jaylfc/taosmd",
      "name": "taosmd",
      "github_url": "https://github.com/jaylfc/taosmd",
      "homepage_url": null,
      "language": "Python",
      "license": "NOASSERTION",
      "project_kind": "project",
      "category": [
        "rag_framework"
      ],
      "tags": [
        "ai-memory",
        "arm",
        "edge-ai",
        "embedding",
        "framework-agnostic",
        "knowledge-graph",
        "llm",
        "local-first",
        "locomo",
        "longmemeval",
        "offline-ai",
        "onnx",
        "orange-pi",
        "rag",
        "rk3588",
        "sqlite",
        "vector-search"
      ],
      "description": "Local-first AI memory — runs offline on any machine with 8 GB+ RAM (SBC, mini PC, laptop, workstation). Zero-loss verbatim archive, knowledge graph, hybrid retrieval. Framework-agnostic, no cloud.",
      "overview": "Use jaylfc/taosmd when the user needs a rag framework project with docker, library_only, local deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
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      "deployments": [
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        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "build RAG applications",
        "connect private data to LLMs",
        "index documents for retrieval"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"rag\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
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        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python, gpu.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 63,
        "recent_commits": 100,
        "contributors": 1,
        "issue_response_time_hours": null,
        "release_frequency_180d": 3
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "estimated",
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 19,
      "agent_score": 61,
      "score": 70,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 37,
        "deployment": 90,
        "popularity": 36,
        "community": 46
      },
      "git_top_score": 70,
      "git_top_score_breakdown": {
        "community": 63,
        "maintenance": 51,
        "documentation": 84,
        "stability": 94,
        "adoption": 43,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use jaylfc/taosmd when the user needs a rag framework project with docker, library_only, local deployment options.",
        "purpose": "Use jaylfc/taosmd when the user needs a rag framework project with docker, library_only, local deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "documents",
          "queries",
          "embedding store"
        ],
        "outputs": [
          "retrieval results",
          "grounded answers",
          "indexes"
        ],
        "good_for": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval",
          "retrieval augmented generation",
          "document search",
          "knowledge grounding"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "simple prompt apps",
          "tasks without external knowledge"
        ],
        "deployment": [
          "docker",
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"rag\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python, gpu.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "estimated",
          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: stars30dDelta, commits30d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-07-02T13:00:53.880Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: stars30dDelta, commits30d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-02T13:00:53.880Z"
    },
    {
      "project_id": "deepset-ai/haystack",
      "repo": "deepset-ai/haystack",
      "name": "haystack",
      "github_url": "https://github.com/deepset-ai/haystack",
      "homepage_url": "https://haystack.deepset.ai",
      "language": "MDX",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "rag_framework"
      ],
      "tags": [
        "agent",
        "agents",
        "ai",
        "gemini",
        "generative-ai",
        "gpt-4",
        "information-retrieval",
        "large-language-models",
        "llm",
        "machine-learning",
        "nlp",
        "orchestration",
        "python",
        "pytorch",
        "question-answering",
        "rag",
        "retrieval-augmented-generation",
        "semantic-search",
        "summarization",
        "transformers"
      ],
      "description": "Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.",
      "overview": "Use deepset-ai/haystack when the user needs a rag framework project with docker, library_only, local deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "intermediate",
      "cloudflare_ready": false,
      "use_cases": [
        "build RAG applications",
        "connect private data to LLMs",
        "index documents for retrieval"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"rag\" in metadata.",
            "Matched \"retrieval-augmented\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "No strong beginner or advanced signal found; defaulting to intermediate."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 25852,
        "recent_commits": 100,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 34
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 21,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "partial"
      },
      "quality_score": 51,
      "agent_score": 88,
      "score": 91,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 76,
        "deployment": 90,
        "popularity": 88,
        "community": 100
      },
      "git_top_score": 91,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 84,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use deepset-ai/haystack when the user needs a rag framework project with docker, library_only, local deployment options.",
        "purpose": "Use deepset-ai/haystack when the user needs a rag framework project with docker, library_only, local deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "documents",
          "queries",
          "embedding store"
        ],
        "outputs": [
          "retrieval results",
          "grounded answers",
          "indexes"
        ],
        "good_for": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval",
          "retrieval augmented generation",
          "document search",
          "knowledge grounding"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "simple prompt apps",
          "tasks without external knowledge"
        ],
        "deployment": [
          "docker",
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"rag\" in metadata.",
              "Matched \"retrieval-augmented\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "No strong beginner or advanced signal found; defaulting to intermediate."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 21,
          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "partial"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: commits30d, contributors90d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-07-09T00:01:12.253Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: commits30d, contributors90d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-09T00:01:12.253Z"
    },
    {
      "project_id": "langchain-ai/langgraph",
      "repo": "langchain-ai/langgraph",
      "name": "langgraph",
      "github_url": "https://github.com/langchain-ai/langgraph",
      "homepage_url": "https://docs.langchain.com/oss/python/langgraph/",
      "language": "Python",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "rag_framework"
      ],
      "tags": [
        "agents",
        "ai",
        "ai-agents",
        "chatgpt",
        "deepagents",
        "enterprise",
        "framework",
        "gemini",
        "generative-ai",
        "langchain",
        "langgraph",
        "llm",
        "multiagent",
        "open-source",
        "openai",
        "pydantic",
        "python",
        "rag"
      ],
      "description": "Build resilient agents.",
      "overview": "Use langchain-ai/langgraph when the user needs a rag framework project with library_only, local, cloud deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "intermediate",
      "cloudflare_ready": false,
      "use_cases": [
        "build RAG applications",
        "connect private data to LLMs",
        "index documents for retrieval"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"rag\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Matched \"library\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "No strong beginner or advanced signal found; defaulting to intermediate."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 36877,
        "recent_commits": 57,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 100
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 23,
        "commits_30d": "complete",
        "releases_180d": "partial",
        "contributors_90d": "partial"
      },
      "quality_score": 80,
      "agent_score": 85,
      "score": 91,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 69,
        "deployment": 80,
        "popularity": 91,
        "community": 100
      },
      "git_top_score": 91,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 79,
        "documentation": 92,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use langchain-ai/langgraph when the user needs a rag framework project with library_only, local, cloud deployment options.",
        "purpose": "Use langchain-ai/langgraph when the user needs a rag framework project with library_only, local, cloud deployment options.",
        "install": "Install as a library or package using the repository instructions.",
        "inputs": [
          "documents",
          "queries",
          "embedding store"
        ],
        "outputs": [
          "retrieval results",
          "grounded answers",
          "indexes"
        ],
        "good_for": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval",
          "retrieval augmented generation",
          "document search",
          "knowledge grounding"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "simple prompt apps",
          "tasks without external knowledge"
        ],
        "deployment": [
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"rag\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"pip install\" in repository content.",
              "Matched \"library\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "No strong beginner or advanced signal found; defaulting to intermediate."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 23,
          "commits_30d": "complete",
          "releases_180d": "partial",
          "contributors_90d": "partial"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: releases180d, contributors90d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-07-09T10:01:05.797Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: releases180d, contributors90d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-09T10:01:05.797Z"
    }
  ],
  "alternative_matches": [
    {
      "project_id": "mem0ai/mem0",
      "repo": "mem0ai/mem0",
      "name": "mem0",
      "github_url": "https://github.com/mem0ai/mem0",
      "homepage_url": "https://mem0.ai",
      "language": "Python",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "rag_framework"
      ],
      "tags": [
        "agents",
        "ai",
        "ai-agents",
        "application",
        "chatbots",
        "chatgpt",
        "genai",
        "llm",
        "long-term-memory",
        "memory",
        "memory-management",
        "python",
        "rag",
        "state-management"
      ],
      "description": "Universal memory layer for AI Agents",
      "overview": "Use mem0ai/mem0 when the user needs a rag framework project with docker, vercel, serverless deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "vercel",
        "serverless",
        "library_only",
        "local"
      ],
      "difficulty": "intermediate",
      "cloudflare_ready": false,
      "use_cases": [
        "build RAG applications",
        "connect private data to LLMs",
        "index documents for retrieval"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"rag\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"vercel\" in repository content.",
            "Matched \"pip install\" in repository content.",
            "Matched \"npm install\" in repository content.",
            "Matched \"library\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "No strong beginner or advanced signal found; defaulting to intermediate."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 60420,
        "recent_commits": 100,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 86
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 17,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "partial"
      },
      "quality_score": 82,
      "agent_score": 91,
      "score": 91,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 76,
        "deployment": 100,
        "popularity": 96,
        "community": 100
      },
      "git_top_score": 91,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 84,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use mem0ai/mem0 when the user needs a rag framework project with docker, vercel, serverless deployment options.",
        "purpose": "Use mem0ai/mem0 when the user needs a rag framework project with docker, vercel, serverless deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
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          "queries",
          "embedding store"
        ],
        "outputs": [
          "retrieval results",
          "grounded answers",
          "indexes"
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        "good_for": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval",
          "retrieval augmented generation",
          "document search",
          "knowledge grounding"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "simple prompt apps",
          "tasks without external knowledge"
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        "deployment": [
          "docker",
          "vercel",
          "serverless",
          "library_only",
          "local"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"rag\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"vercel\" in repository content.",
              "Matched \"pip install\" in repository content.",
              "Matched \"npm install\" in repository content.",
              "Matched \"library\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "No strong beginner or advanced signal found; defaulting to intermediate."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 17,
          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "partial"
        },
        "source_fields": [
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          "metrics",
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          "alternative.similarity_score",
          "alternative.replacement_type"
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        "caveats": [
          "Same category, so it can be evaluated as a direct functional substitute.",
          "Deployment overlap: library_only, local.",
          "Shared dependency context: vector-database, llm-provider.",
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: commits30d, contributors90d."
        ],
        "confidence_reason": "Low replacement risk: 100/100 similarity with category or use-case overlap.",
        "last_verified_at": "2026-07-08T21:01:06.329Z"
      },
      "caveats": [
        "Same category, so it can be evaluated as a direct functional substitute.",
        "Deployment overlap: library_only, local.",
        "Shared dependency context: vector-database, llm-provider.",
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: commits30d, contributors90d."
      ],
      "confidence_reason": "Low replacement risk: 100/100 similarity with category or use-case overlap.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics",
        "alternative.match_signals",
        "alternative.similarity_score",
        "alternative.replacement_type"
      ],
      "last_verified_at": "2026-07-08T21:01:06.329Z",
      "similarity_score": 100,
      "alternative_reason": "Same rag framework intent with agent_memory, rag overlap.",
      "replacement_type": "same_use_case",
      "match_signals": {
        "explicit": false,
        "shared_category": true,
        "shared_deployments": [
          "library_only",
          "local"
        ],
        "shared_use_cases": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval"
        ],
        "shared_topics": [],
        "intent_overlap": [
          "agent_memory",
          "rag"
        ],
        "dependency_overlap": [
          "vector-database",
          "llm-provider"
        ],
        "same_language": true,
        "stronger_maintenance": true,
        "cloudflare_ready_upgrade": false
      },
      "fit_summary": "Strong replacement candidate with overlapping indexed use cases.",
      "adoption_notes": [
        "Same category, so it can be evaluated as a direct functional substitute.",
        "Deployment overlap: library_only, local.",
        "Shared dependency context: vector-database, llm-provider."
      ],
      "replacement_risk": "low"
    },
    {
      "project_id": "winstonkoh87/Athena-Public",
      "repo": "winstonkoh87/Athena-Public",
      "name": "Athena-Public",
      "github_url": "https://github.com/winstonkoh87/Athena-Public",
      "homepage_url": "https://winstonkoh87.com/athena/",
      "language": "Python",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "rag_framework"
      ],
      "tags": [
        "ai",
        "ai-agents",
        "ai-assistant",
        "automation",
        "chatgpt",
        "developer-tools",
        "framework",
        "gemini",
        "google-antigravity",
        "graphrag",
        "knowledge-management",
        "llm",
        "local-first",
        "memory",
        "open-source",
        "prompt-engineering",
        "python",
        "rag",
        "semantic-search",
        "vector-search"
      ],
      "description": "The Linux OS for AI Agents — Persistent memory, structured reasoning, and governed autonomy for any LLM. Own the state. Rent the intelligence.",
      "overview": "Use winstonkoh87/Athena-Public when the user needs a rag framework project with docker, library_only, local deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "build RAG applications",
        "connect private data to LLMs",
        "index documents for retrieval"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"rag\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Matched \"library\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 513,
        "recent_commits": 29,
        "contributors": 3,
        "issue_response_time_hours": null,
        "release_frequency_180d": 15
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "estimated",
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 24,
      "agent_score": 66,
      "score": 83,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 46,
        "deployment": 90,
        "popularity": 54,
        "community": 48
      },
      "git_top_score": 83,
      "git_top_score_breakdown": {
        "community": 78,
        "maintenance": 63,
        "documentation": 92,
        "stability": 100,
        "adoption": 78,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use winstonkoh87/Athena-Public when the user needs a rag framework project with docker, library_only, local deployment options.",
        "purpose": "Use winstonkoh87/Athena-Public when the user needs a rag framework project with docker, library_only, local deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "documents",
          "queries",
          "embedding store"
        ],
        "outputs": [
          "retrieval results",
          "grounded answers",
          "indexes"
        ],
        "good_for": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval",
          "retrieval augmented generation",
          "document search",
          "knowledge grounding"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "simple prompt apps",
          "tasks without external knowledge"
        ],
        "deployment": [
          "docker",
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"rag\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"pip install\" in repository content.",
              "Matched \"library\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "estimated",
          "commits_30d": "complete",
          "releases_180d": "complete",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
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          "agent_card.classification",
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          "alternative.similarity_score",
          "alternative.replacement_type"
        ],
        "caveats": [
          "Same category, so it can be evaluated as a direct functional substitute.",
          "Deployment overlap: library_only, local, cloud.",
          "Shared dependency context: vector-database, llm-provider.",
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: stars30dDelta."
        ],
        "confidence_reason": "Low replacement risk: 100/100 similarity with category or use-case overlap.",
        "last_verified_at": "2026-07-01T11:01:03.933Z"
      },
      "caveats": [
        "Same category, so it can be evaluated as a direct functional substitute.",
        "Deployment overlap: library_only, local, cloud.",
        "Shared dependency context: vector-database, llm-provider.",
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: stars30dDelta."
      ],
      "confidence_reason": "Low replacement risk: 100/100 similarity with category or use-case overlap.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
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        "agent_card.deployment",
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        "metrics",
        "alternative.match_signals",
        "alternative.similarity_score",
        "alternative.replacement_type"
      ],
      "last_verified_at": "2026-07-01T11:01:03.933Z",
      "similarity_score": 100,
      "alternative_reason": "Same rag framework intent with agent_memory, rag overlap.",
      "replacement_type": "same_use_case",
      "match_signals": {
        "explicit": false,
        "shared_category": true,
        "shared_deployments": [
          "library_only",
          "local",
          "cloud"
        ],
        "shared_use_cases": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval"
        ],
        "shared_topics": [],
        "intent_overlap": [
          "agent_memory",
          "rag"
        ],
        "dependency_overlap": [
          "vector-database",
          "llm-provider"
        ],
        "same_language": true,
        "stronger_maintenance": true,
        "cloudflare_ready_upgrade": false
      },
      "fit_summary": "Strong replacement candidate with overlapping indexed use cases.",
      "adoption_notes": [
        "Same category, so it can be evaluated as a direct functional substitute.",
        "Deployment overlap: library_only, local, cloud.",
        "Shared dependency context: vector-database, llm-provider."
      ],
      "replacement_risk": "low"
    },
    {
      "project_id": "jaylfc/taosmd",
      "repo": "jaylfc/taosmd",
      "name": "taosmd",
      "github_url": "https://github.com/jaylfc/taosmd",
      "homepage_url": null,
      "language": "Python",
      "license": "NOASSERTION",
      "project_kind": "project",
      "category": [
        "rag_framework"
      ],
      "tags": [
        "ai-memory",
        "arm",
        "edge-ai",
        "embedding",
        "framework-agnostic",
        "knowledge-graph",
        "llm",
        "local-first",
        "locomo",
        "longmemeval",
        "offline-ai",
        "onnx",
        "orange-pi",
        "rag",
        "rk3588",
        "sqlite",
        "vector-search"
      ],
      "description": "Local-first AI memory — runs offline on any machine with 8 GB+ RAM (SBC, mini PC, laptop, workstation). Zero-loss verbatim archive, knowledge graph, hybrid retrieval. Framework-agnostic, no cloud.",
      "overview": "Use jaylfc/taosmd when the user needs a rag framework project with docker, library_only, local deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "build RAG applications",
        "connect private data to LLMs",
        "index documents for retrieval"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"rag\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python, gpu.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 63,
        "recent_commits": 100,
        "contributors": 1,
        "issue_response_time_hours": null,
        "release_frequency_180d": 3
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "estimated",
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 19,
      "agent_score": 61,
      "score": 70,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 37,
        "deployment": 90,
        "popularity": 36,
        "community": 46
      },
      "git_top_score": 70,
      "git_top_score_breakdown": {
        "community": 63,
        "maintenance": 51,
        "documentation": 84,
        "stability": 94,
        "adoption": 43,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use jaylfc/taosmd when the user needs a rag framework project with docker, library_only, local deployment options.",
        "purpose": "Use jaylfc/taosmd when the user needs a rag framework project with docker, library_only, local deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "documents",
          "queries",
          "embedding store"
        ],
        "outputs": [
          "retrieval results",
          "grounded answers",
          "indexes"
        ],
        "good_for": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval",
          "retrieval augmented generation",
          "document search",
          "knowledge grounding"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "simple prompt apps",
          "tasks without external knowledge"
        ],
        "deployment": [
          "docker",
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"rag\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python, gpu.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "estimated",
          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
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          "agent_card.deployment",
          "agent_card.classification",
          "metrics",
          "alternative.match_signals",
          "alternative.similarity_score",
          "alternative.replacement_type"
        ],
        "caveats": [
          "Same category, so it can be evaluated as a direct functional substitute.",
          "Deployment overlap: library_only, local, cloud.",
          "Shared dependency context: vector-database, llm-provider.",
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: stars30dDelta, commits30d."
        ],
        "confidence_reason": "Low replacement risk: 100/100 similarity with category or use-case overlap.",
        "last_verified_at": "2026-07-02T13:00:53.880Z"
      },
      "caveats": [
        "Same category, so it can be evaluated as a direct functional substitute.",
        "Deployment overlap: library_only, local, cloud.",
        "Shared dependency context: vector-database, llm-provider.",
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: stars30dDelta, commits30d."
      ],
      "confidence_reason": "Low replacement risk: 100/100 similarity with category or use-case overlap.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
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        "agent_card.deployment",
        "agent_card.classification",
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      ],
      "last_verified_at": "2026-07-02T13:00:53.880Z",
      "similarity_score": 100,
      "alternative_reason": "Same rag framework intent with agent_memory, rag overlap.",
      "replacement_type": "same_use_case",
      "match_signals": {
        "explicit": false,
        "shared_category": true,
        "shared_deployments": [
          "library_only",
          "local",
          "cloud"
        ],
        "shared_use_cases": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval"
        ],
        "shared_topics": [],
        "intent_overlap": [
          "agent_memory",
          "rag"
        ],
        "dependency_overlap": [
          "vector-database",
          "llm-provider"
        ],
        "same_language": true,
        "stronger_maintenance": true,
        "cloudflare_ready_upgrade": false
      },
      "fit_summary": "Strong replacement candidate with overlapping indexed use cases.",
      "adoption_notes": [
        "Same category, so it can be evaluated as a direct functional substitute.",
        "Deployment overlap: library_only, local, cloud.",
        "Shared dependency context: vector-database, llm-provider."
      ],
      "replacement_risk": "low"
    },
    {
      "project_id": "deepset-ai/haystack",
      "repo": "deepset-ai/haystack",
      "name": "haystack",
      "github_url": "https://github.com/deepset-ai/haystack",
      "homepage_url": "https://haystack.deepset.ai",
      "language": "MDX",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "rag_framework"
      ],
      "tags": [
        "agent",
        "agents",
        "ai",
        "gemini",
        "generative-ai",
        "gpt-4",
        "information-retrieval",
        "large-language-models",
        "llm",
        "machine-learning",
        "nlp",
        "orchestration",
        "python",
        "pytorch",
        "question-answering",
        "rag",
        "retrieval-augmented-generation",
        "semantic-search",
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        "transformers"
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      "description": "Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.",
      "overview": "Use deepset-ai/haystack when the user needs a rag framework project with docker, library_only, local deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
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        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "intermediate",
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      "use_cases": [
        "build RAG applications",
        "connect private data to LLMs",
        "index documents for retrieval"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"rag\" in metadata.",
            "Matched \"retrieval-augmented\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "No strong beginner or advanced signal found; defaulting to intermediate."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
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        "recent_commits": 100,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 34
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 21,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "partial"
      },
      "quality_score": 51,
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      "score": 91,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 76,
        "deployment": 90,
        "popularity": 88,
        "community": 100
      },
      "git_top_score": 91,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 84,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use deepset-ai/haystack when the user needs a rag framework project with docker, library_only, local deployment options.",
        "purpose": "Use deepset-ai/haystack when the user needs a rag framework project with docker, library_only, local deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
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          "queries",
          "embedding store"
        ],
        "outputs": [
          "retrieval results",
          "grounded answers",
          "indexes"
        ],
        "good_for": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval",
          "retrieval augmented generation",
          "document search",
          "knowledge grounding"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "simple prompt apps",
          "tasks without external knowledge"
        ],
        "deployment": [
          "docker",
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"rag\" in metadata.",
              "Matched \"retrieval-augmented\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "No strong beginner or advanced signal found; defaulting to intermediate."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 21,
          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "partial"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
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          "agent_card.deployment",
          "agent_card.classification",
          "metrics",
          "alternative.match_signals",
          "alternative.similarity_score",
          "alternative.replacement_type"
        ],
        "caveats": [
          "Same category, so it can be evaluated as a direct functional substitute.",
          "Deployment overlap: library_only, local, cloud.",
          "Shared dependency context: vector-database, llm-provider.",
          "Language changes to MDX; migration cost may be higher.",
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: commits30d, contributors90d."
        ],
        "confidence_reason": "Low replacement risk: 96/100 similarity with category or use-case overlap.",
        "last_verified_at": "2026-07-09T00:01:12.253Z"
      },
      "caveats": [
        "Same category, so it can be evaluated as a direct functional substitute.",
        "Deployment overlap: library_only, local, cloud.",
        "Shared dependency context: vector-database, llm-provider.",
        "Language changes to MDX; migration cost may be higher.",
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: commits30d, contributors90d."
      ],
      "confidence_reason": "Low replacement risk: 96/100 similarity with category or use-case overlap.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
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        "alternative.replacement_type"
      ],
      "last_verified_at": "2026-07-09T00:01:12.253Z",
      "similarity_score": 96,
      "alternative_reason": "Same rag framework intent with agent_memory, rag overlap.",
      "replacement_type": "same_use_case",
      "match_signals": {
        "explicit": false,
        "shared_category": true,
        "shared_deployments": [
          "library_only",
          "local",
          "cloud"
        ],
        "shared_use_cases": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval"
        ],
        "shared_topics": [],
        "intent_overlap": [
          "agent_memory",
          "rag"
        ],
        "dependency_overlap": [
          "vector-database",
          "llm-provider"
        ],
        "same_language": false,
        "stronger_maintenance": true,
        "cloudflare_ready_upgrade": false
      },
      "fit_summary": "Strong replacement candidate with overlapping indexed use cases.",
      "adoption_notes": [
        "Same category, so it can be evaluated as a direct functional substitute.",
        "Deployment overlap: library_only, local, cloud.",
        "Shared dependency context: vector-database, llm-provider.",
        "Language changes to MDX; migration cost may be higher."
      ],
      "replacement_risk": "low"
    },
    {
      "project_id": "langchain-ai/langgraph",
      "repo": "langchain-ai/langgraph",
      "name": "langgraph",
      "github_url": "https://github.com/langchain-ai/langgraph",
      "homepage_url": "https://docs.langchain.com/oss/python/langgraph/",
      "language": "Python",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "rag_framework"
      ],
      "tags": [
        "agents",
        "ai",
        "ai-agents",
        "chatgpt",
        "deepagents",
        "enterprise",
        "framework",
        "gemini",
        "generative-ai",
        "langchain",
        "langgraph",
        "llm",
        "multiagent",
        "open-source",
        "openai",
        "pydantic",
        "python",
        "rag"
      ],
      "description": "Build resilient agents.",
      "overview": "Use langchain-ai/langgraph when the user needs a rag framework project with library_only, local, cloud deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
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        "local",
        "cloud"
      ],
      "difficulty": "intermediate",
      "cloudflare_ready": false,
      "use_cases": [
        "build RAG applications",
        "connect private data to LLMs",
        "index documents for retrieval"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"rag\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Matched \"library\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "No strong beginner or advanced signal found; defaulting to intermediate."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 36877,
        "recent_commits": 57,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 100
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 23,
        "commits_30d": "complete",
        "releases_180d": "partial",
        "contributors_90d": "partial"
      },
      "quality_score": 80,
      "agent_score": 85,
      "score": 91,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 69,
        "deployment": 80,
        "popularity": 91,
        "community": 100
      },
      "git_top_score": 91,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 79,
        "documentation": 92,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use langchain-ai/langgraph when the user needs a rag framework project with library_only, local, cloud deployment options.",
        "purpose": "Use langchain-ai/langgraph when the user needs a rag framework project with library_only, local, cloud deployment options.",
        "install": "Install as a library or package using the repository instructions.",
        "inputs": [
          "documents",
          "queries",
          "embedding store"
        ],
        "outputs": [
          "retrieval results",
          "grounded answers",
          "indexes"
        ],
        "good_for": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval",
          "retrieval augmented generation",
          "document search",
          "knowledge grounding"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "simple prompt apps",
          "tasks without external knowledge"
        ],
        "deployment": [
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"rag\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"pip install\" in repository content.",
              "Matched \"library\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "No strong beginner or advanced signal found; defaulting to intermediate."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 23,
          "commits_30d": "complete",
          "releases_180d": "partial",
          "contributors_90d": "partial"
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          "alternative.replacement_type"
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        "caveats": [
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          "Shared dependency context: vector-database, llm-provider.",
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: releases180d, contributors90d."
        ],
        "confidence_reason": "Low replacement risk: 95/100 similarity with category or use-case overlap.",
        "last_verified_at": "2026-07-09T10:01:05.797Z"
      },
      "caveats": [
        "Same category, so it can be evaluated as a direct functional substitute.",
        "Deployment overlap: library_only, local, cloud.",
        "Shared dependency context: vector-database, llm-provider.",
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: releases180d, contributors90d."
      ],
      "confidence_reason": "Low replacement risk: 95/100 similarity with category or use-case overlap.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
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      "last_verified_at": "2026-07-09T10:01:05.797Z",
      "similarity_score": 95,
      "alternative_reason": "Same rag framework intent with rag overlap.",
      "replacement_type": "same_use_case",
      "match_signals": {
        "explicit": false,
        "shared_category": true,
        "shared_deployments": [
          "library_only",
          "local",
          "cloud"
        ],
        "shared_use_cases": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval"
        ],
        "shared_topics": [],
        "intent_overlap": [
          "rag"
        ],
        "dependency_overlap": [
          "vector-database",
          "llm-provider"
        ],
        "same_language": true,
        "stronger_maintenance": true,
        "cloudflare_ready_upgrade": false
      },
      "fit_summary": "Strong replacement candidate with overlapping indexed use cases.",
      "adoption_notes": [
        "Same category, so it can be evaluated as a direct functional substitute.",
        "Deployment overlap: library_only, local, cloud.",
        "Shared dependency context: vector-database, llm-provider."
      ],
      "replacement_risk": "low"
    }
  ],
  "metadata": {
    "source": "d1",
    "reason": "d1_query",
    "project_count": 899,
    "generated_at": "2026-07-10T04:58:08.910Z",
    "loaded_project_limit": 2000,
    "truncated": false
  }
}