{
  "query": {
    "use_case": "build Cloudflare-ready AI agents",
    "deployment": "docker",
    "category": "rag_framework"
  },
  "recommendations": [
    {
      "project_id": "infiniflow/ragflow",
      "repo": "infiniflow/ragflow",
      "name": "ragflow",
      "github_url": "https://github.com/infiniflow/ragflow",
      "homepage_url": "https://ragflow.io",
      "language": "Go",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "rag_framework"
      ],
      "tags": [
        "agent-harness",
        "agentic-ai",
        "agentic-nagive",
        "agentic-retrieval",
        "agentic-search",
        "ai",
        "ai-agents",
        "context-engine",
        "context-engineering",
        "context-management",
        "harness-engineering",
        "knowledge-compilation",
        "rag",
        "retrieval-augmented-generation",
        "search-harness"
      ],
      "description": "RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs",
      "overview": "Use infiniflow/ragflow when the user needs a rag framework project with docker, library-only, local deployment options.",
      "alternatives": [
        {
          "repo": "mem0ai/mem0",
          "reason": "Same rag framework intent with rag overlap."
        },
        {
          "repo": "langchain-ai/langgraph",
          "reason": "Same rag framework intent with rag overlap."
        },
        {
          "repo": "intelligencedev/manifold",
          "reason": "Same rag framework intent with rag overlap."
        }
      ],
      "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": [
            "Found Docker configuration file.",
            "Matched \"npm 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, gpu.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 90960,
        "recent_commits": 100,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 15
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 30,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "partial"
      },
      "quality_score": 84,
      "agent_score": 90,
      "score": 59,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 76,
        "deployment": 90,
        "popularity": 99,
        "community": 100
      },
      "git_top_score": 93,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 84,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 100
      },
      "verification": {
        "schema_version": "git-top.verification.v1",
        "overall_status": "partial",
        "observed_at": "2026-09-18T23:00:26.697Z",
        "signals": {
          "activity": {
            "status": "observed",
            "source": "github_metadata",
            "evidence": [
              "project.pushed_at",
              "metrics.recent_push_days"
            ]
          },
          "license": {
            "status": "observed",
            "source": "github_metadata",
            "evidence": [
              "project.license"
            ]
          },
          "documentation": {
            "status": "observed",
            "source": "github_metadata",
            "evidence": [
              "project.description"
            ]
          },
          "runtime": {
            "status": "inferred",
            "source": "git_top_heuristic",
            "evidence": [
              "agent_card.deployment",
              "agent_card.cloudflare_ready"
            ]
          },
          "install": {
            "status": "not_run",
            "source": "git_top_runtime",
            "evidence": [
              "installation/build probe is not enabled"
            ]
          },
          "security": {
            "status": "not_run",
            "source": "git_top_runtime",
            "evidence": [
              "dependency/security scan is not enabled"
            ]
          },
          "mcp": {
            "status": "not_applicable",
            "source": "git_top_runtime",
            "evidence": [
              "project is not classified as mcp_server"
            ]
          }
        },
        "coverage": {
          "observed": 3,
          "inferred": 1,
          "not_run": 2,
          "unknown": 0
        },
        "next_steps": [
          "Run an installation/build probe before production adoption.",
          "Run a dependency and security scan before treating the score as a trust claim."
        ]
      },
      "summary": {
        "tl_dr": "Use infiniflow/ragflow when the user needs a rag framework project with docker, library-only, local deployment options.",
        "purpose": "Use infiniflow/ragflow 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": [
          {
            "repo": "mem0ai/mem0",
            "reason": "Same rag framework intent with rag overlap."
          },
          {
            "repo": "langchain-ai/langgraph",
            "reason": "Same rag framework intent with rag overlap."
          },
          {
            "repo": "intelligencedev/manifold",
            "reason": "Same rag framework intent with rag overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"rag\" in metadata.",
              "Matched \"retrieval-augmented\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"npm 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, gpu.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 30,
          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "partial"
        },
        "verification": {
          "schema_version": "git-top.verification.v1",
          "overall_status": "partial",
          "observed_at": "2026-09-18T23:00:26.697Z",
          "signals": {
            "activity": {
              "status": "observed",
              "source": "github_metadata",
              "evidence": [
                "project.pushed_at",
                "metrics.recent_push_days"
              ]
            },
            "license": {
              "status": "observed",
              "source": "github_metadata",
              "evidence": [
                "project.license"
              ]
            },
            "documentation": {
              "status": "observed",
              "source": "github_metadata",
              "evidence": [
                "project.description"
              ]
            },
            "runtime": {
              "status": "inferred",
              "source": "git_top_heuristic",
              "evidence": [
                "agent_card.deployment",
                "agent_card.cloudflare_ready"
              ]
            },
            "install": {
              "status": "not_run",
              "source": "git_top_runtime",
              "evidence": [
                "installation/build probe is not enabled"
              ]
            },
            "security": {
              "status": "not_run",
              "source": "git_top_runtime",
              "evidence": [
                "dependency/security scan is not enabled"
              ]
            },
            "mcp": {
              "status": "not_applicable",
              "source": "git_top_runtime",
              "evidence": [
                "project is not classified as mcp_server"
              ]
            }
          },
          "coverage": {
            "observed": 3,
            "inferred": 1,
            "not_run": 2,
            "unknown": 0
          },
          "next_steps": [
            "Run an installation/build probe before production adoption.",
            "Run a dependency and security scan before treating the score as a trust claim."
          ]
        },
        "source_fields": [
          "agent_card.classification",
          "agent_card.deployment",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "metrics",
          "project.description",
          "project.language",
          "project.license",
          "project.topics",
          "recommendation.constraints",
          "recommendation.query",
          "recommendation.ranking_signals",
          "verification.signals"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "Independent installation, security, or runtime probes have not been run for this project.",
          "Partial or estimated quality signals: commits30d, contributors90d.",
          "users expecting a complete hosted product"
        ],
        "recommendation_reasons": [
          "Use infiniflow/ragflow when the user needs a rag framework project with docker, library-only, local deployment options.",
          "Use-case match is 50/100 for \"build Cloudflare-ready AI agents\".",
          "It matches the requested docker deployment target.",
          "It is classified as rag_framework.",
          "Ranking signals: community 84/100, maintenance 76/100."
        ],
        "ranking_signals": {
          "use_case_match": 50,
          "community": 84,
          "maintenance": 76,
          "readiness": 60,
          "license_fit": 0
        },
        "matched_constraints": {
          "deployment": "docker",
          "category": "rag_framework"
        },
        "unmatched_constraints": {},
        "confidence_reason": "Medium confidence because the 59/100 recommendation is usable but quality or maturity evidence should be reviewed; Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-09-18T23:00:26.697Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "Independent installation, security, or runtime probes have not been run for this project.",
        "Partial or estimated quality signals: commits30d, contributors90d.",
        "users expecting a complete hosted product"
      ],
      "confidence_reason": "Medium confidence because the 59/100 recommendation is usable but quality or maturity evidence should be reviewed; Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "agent_card.classification",
        "agent_card.deployment",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "metrics",
        "project.description",
        "project.language",
        "project.license",
        "project.topics",
        "recommendation.constraints",
        "recommendation.query",
        "recommendation.ranking_signals",
        "verification.signals"
      ],
      "last_verified_at": "2026-09-18T23:00:26.697Z",
      "reason": "Use infiniflow/ragflow when the user needs a rag framework project with docker, library-only, local deployment options. Use-case match is 50/100 for \"build Cloudflare-ready AI agents\". It matches the requested docker deployment target. It is classified as rag_framework. Ranking signals: community 84/100, maintenance 76/100.",
      "reasons": [
        "Use infiniflow/ragflow when the user needs a rag framework project with docker, library-only, local deployment options.",
        "Use-case match is 50/100 for \"build Cloudflare-ready AI agents\".",
        "It matches the requested docker deployment target.",
        "It is classified as rag_framework.",
        "Ranking signals: community 84/100, maintenance 76/100."
      ],
      "decision_summary": "infiniflow/ragflow is an exploration candidate for \"build Cloudflare-ready AI agents\": recommendation score 59/100 with matched constraints, but quality and maturity signals need review.",
      "fit_profile": {
        "primary_fit": "Partial use-case overlap for \"build Cloudflare-ready AI agents\"; validate the target workflow.",
        "deployment_fit": "Matches requested docker deployment.",
        "maturity": "High maturity signal from community and maintenance scores.",
        "agent_readiness": "Agent-readable summary and use cases are available."
      },
      "adoption_plan": [
        "Open /projects/infiniflow/ragflow to verify license, language, classification evidence, and quality signal confidence.",
        "Inspect /graph/infiniflow/ragflow for dependencies, related projects, deployment targets, and alternatives.",
        "Use the matched constraints (deployment, category) as the initial acceptance checklist.",
        "Prototype the docker deployment path before committing to a migration.",
        "Compare against /alternatives/infiniflow/ragflow before final selection."
      ],
      "risk_flags": [],
      "tradeoffs": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "next_actions": [
        {
          "label": "Open project knowledge",
          "href": "/projects/infiniflow/ragflow",
          "kind": "project"
        },
        {
          "label": "Inspect graph",
          "href": "/graph/infiniflow/ragflow",
          "kind": "graph"
        },
        {
          "label": "Find alternatives",
          "href": "/alternatives/infiniflow/ragflow",
          "kind": "alternatives"
        },
        {
          "label": "Explain score",
          "href": "/score/infiniflow/ragflow",
          "kind": "score"
        },
        {
          "label": "Compare shortlist",
          "href": "/compare/infiniflow/ragflow",
          "kind": "compare"
        }
      ],
      "matched_constraints": {
        "deployment": "docker",
        "category": "rag_framework"
      },
      "unmatched_constraints": {},
      "ranking_signals": {
        "use_case_match": 50,
        "community": 84,
        "maintenance": 76,
        "readiness": 60,
        "license_fit": 0
      },
      "confidence": "medium",
      "project": {
        "id": "infiniflow/ragflow",
        "owner": "infiniflow",
        "name": "ragflow",
        "full_name": "infiniflow/ragflow",
        "github_url": "https://github.com/infiniflow/ragflow",
        "homepage_url": "https://ragflow.io",
        "description": "RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs",
        "language": "Go",
        "topics": [
          "agent-harness",
          "agentic-ai",
          "agentic-nagive",
          "agentic-retrieval",
          "agentic-search",
          "ai",
          "ai-agents",
          "context-engine",
          "context-engineering",
          "context-management",
          "harness-engineering",
          "knowledge-compilation",
          "rag",
          "retrieval-augmented-generation",
          "search-harness"
        ],
        "license": "Apache-2.0",
        "stars": 90960,
        "forks": 10771,
        "open_issues": 1452,
        "default_branch": "main",
        "created_at": "2023-12-12T06:13:13Z",
        "updated_at": "2026-09-18T22:30:25Z",
        "pushed_at": "2026-09-18T13:54:27Z",
        "synced_at": "2026-09-18T23:00:26.697Z"
      },
      "agent_card": {
        "project_id": "infiniflow/ragflow",
        "project_kind": "project",
        "category": "rag_framework",
        "difficulty": "intermediate",
        "deployment": [
          "docker",
          "library_only",
          "local",
          "cloud"
        ],
        "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"
        ],
        "alternatives": [
          {
            "project_id": "mem0ai/mem0",
            "reason": "Same rag framework intent with rag overlap."
          },
          {
            "project_id": "langchain-ai/langgraph",
            "reason": "Same rag framework intent with rag overlap."
          },
          {
            "project_id": "intelligencedev/manifold",
            "reason": "Same rag framework intent with rag overlap."
          }
        ],
        "summary_for_agent": "Use infiniflow/ragflow when the user needs a rag framework project with docker, library-only, local deployment options.",
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"rag\" in metadata.",
              "Matched \"retrieval-augmented\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"npm 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, gpu.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "schema_version": "v1",
        "generated_at": "2026-09-18T23:00:26.697Z"
      },
      "metrics": {
        "project_id": "infiniflow/ragflow",
        "stars_30d_delta": 2180,
        "commits_30d": 100,
        "releases_180d": 15,
        "contributors_90d": 100,
        "issue_first_response_median_hours": null,
        "recent_push_days": 0,
        "git_score": 84,
        "maintenance_score": 76,
        "signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 30,
          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "partial"
        },
        "calculated_at": "2026-09-18T23:00:26.697Z"
      }
    },
    {
      "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": [
        "agentic-memory",
        "agentic-memory-system",
        "agents",
        "ai",
        "ai-agents",
        "chatgpt",
        "genai",
        "llm",
        "long-term-memory",
        "memory",
        "memory-management",
        "python",
        "rag",
        "state-management"
      ],
      "description": "The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.",
      "overview": "Use mem0ai/mem0 when the user needs a rag framework project with docker, vercel, serverless deployment options.",
      "alternatives": [
        {
          "repo": "huggingface/transformers",
          "reason": "Same rag framework intent with rag overlap."
        },
        {
          "repo": "infiniflow/ragflow",
          "reason": "Same rag framework intent with rag overlap."
        },
        {
          "repo": "langchain-ai/langgraph",
          "reason": "Same rag framework intent with rag overlap."
        }
      ],
      "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.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 65607,
        "recent_commits": 45,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 100
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 30,
        "commits_30d": "complete",
        "releases_180d": "partial",
        "contributors_90d": "partial"
      },
      "quality_score": 79,
      "agent_score": 89,
      "score": 56,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 68,
        "deployment": 100,
        "popularity": 96,
        "community": 100
      },
      "git_top_score": 91,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 78,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 100
      },
      "verification": {
        "schema_version": "git-top.verification.v1",
        "overall_status": "partial",
        "observed_at": "2026-09-18T23:00:35.987Z",
        "signals": {
          "activity": {
            "status": "observed",
            "source": "github_metadata",
            "evidence": [
              "project.pushed_at",
              "metrics.recent_push_days"
            ]
          },
          "license": {
            "status": "observed",
            "source": "github_metadata",
            "evidence": [
              "project.license"
            ]
          },
          "documentation": {
            "status": "observed",
            "source": "github_metadata",
            "evidence": [
              "project.description"
            ]
          },
          "runtime": {
            "status": "inferred",
            "source": "git_top_heuristic",
            "evidence": [
              "agent_card.deployment",
              "agent_card.cloudflare_ready"
            ]
          },
          "install": {
            "status": "not_run",
            "source": "git_top_runtime",
            "evidence": [
              "installation/build probe is not enabled"
            ]
          },
          "security": {
            "status": "not_run",
            "source": "git_top_runtime",
            "evidence": [
              "dependency/security scan is not enabled"
            ]
          },
          "mcp": {
            "status": "not_applicable",
            "source": "git_top_runtime",
            "evidence": [
              "project is not classified as mcp_server"
            ]
          }
        },
        "coverage": {
          "observed": 3,
          "inferred": 1,
          "not_run": 2,
          "unknown": 0
        },
        "next_steps": [
          "Run an installation/build probe before production adoption.",
          "Run a dependency and security scan before treating the score as a trust claim."
        ]
      },
      "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"
        ],
        "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",
          "vercel",
          "serverless",
          "library_only",
          "local"
        ],
        "alternatives": [
          {
            "repo": "huggingface/transformers",
            "reason": "Same rag framework intent with rag overlap."
          },
          {
            "repo": "infiniflow/ragflow",
            "reason": "Same rag framework intent with rag overlap."
          },
          {
            "repo": "langchain-ai/langgraph",
            "reason": "Same rag framework intent with rag overlap."
          }
        ]
      },
      "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.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 30,
          "commits_30d": "complete",
          "releases_180d": "partial",
          "contributors_90d": "partial"
        },
        "verification": {
          "schema_version": "git-top.verification.v1",
          "overall_status": "partial",
          "observed_at": "2026-09-18T23:00:35.987Z",
          "signals": {
            "activity": {
              "status": "observed",
              "source": "github_metadata",
              "evidence": [
                "project.pushed_at",
                "metrics.recent_push_days"
              ]
            },
            "license": {
              "status": "observed",
              "source": "github_metadata",
              "evidence": [
                "project.license"
              ]
            },
            "documentation": {
              "status": "observed",
              "source": "github_metadata",
              "evidence": [
                "project.description"
              ]
            },
            "runtime": {
              "status": "inferred",
              "source": "git_top_heuristic",
              "evidence": [
                "agent_card.deployment",
                "agent_card.cloudflare_ready"
              ]
            },
            "install": {
              "status": "not_run",
              "source": "git_top_runtime",
              "evidence": [
                "installation/build probe is not enabled"
              ]
            },
            "security": {
              "status": "not_run",
              "source": "git_top_runtime",
              "evidence": [
                "dependency/security scan is not enabled"
              ]
            },
            "mcp": {
              "status": "not_applicable",
              "source": "git_top_runtime",
              "evidence": [
                "project is not classified as mcp_server"
              ]
            }
          },
          "coverage": {
            "observed": 3,
            "inferred": 1,
            "not_run": 2,
            "unknown": 0
          },
          "next_steps": [
            "Run an installation/build probe before production adoption.",
            "Run a dependency and security scan before treating the score as a trust claim."
          ]
        },
        "source_fields": [
          "agent_card.classification",
          "agent_card.deployment",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "metrics",
          "project.description",
          "project.language",
          "project.license",
          "project.topics",
          "recommendation.constraints",
          "recommendation.query",
          "recommendation.ranking_signals",
          "verification.signals"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "Independent installation, security, or runtime probes have not been run for this project.",
          "Partial or estimated quality signals: releases180d, contributors90d.",
          "users expecting a complete hosted product"
        ],
        "recommendation_reasons": [
          "Use mem0ai/mem0 when the user needs a rag framework project with docker, vercel, serverless deployment options.",
          "Use-case match is 50/100 for \"build Cloudflare-ready AI agents\".",
          "It matches the requested docker deployment target.",
          "It is classified as rag_framework.",
          "Ranking signals: community 79/100, maintenance 68/100."
        ],
        "ranking_signals": {
          "use_case_match": 50,
          "community": 79,
          "maintenance": 68,
          "readiness": 60,
          "license_fit": 0
        },
        "matched_constraints": {
          "deployment": "docker",
          "category": "rag_framework"
        },
        "unmatched_constraints": {},
        "confidence_reason": "Medium confidence because the 56/100 recommendation is usable but quality or maturity evidence should be reviewed; Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-09-18T23:00:35.987Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "Independent installation, security, or runtime probes have not been run for this project.",
        "Partial or estimated quality signals: releases180d, contributors90d.",
        "users expecting a complete hosted product"
      ],
      "confidence_reason": "Medium confidence because the 56/100 recommendation is usable but quality or maturity evidence should be reviewed; Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "agent_card.classification",
        "agent_card.deployment",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "metrics",
        "project.description",
        "project.language",
        "project.license",
        "project.topics",
        "recommendation.constraints",
        "recommendation.query",
        "recommendation.ranking_signals",
        "verification.signals"
      ],
      "last_verified_at": "2026-09-18T23:00:35.987Z",
      "reason": "Use mem0ai/mem0 when the user needs a rag framework project with docker, vercel, serverless deployment options. Use-case match is 50/100 for \"build Cloudflare-ready AI agents\". It matches the requested docker deployment target. It is classified as rag_framework. Ranking signals: community 79/100, maintenance 68/100.",
      "reasons": [
        "Use mem0ai/mem0 when the user needs a rag framework project with docker, vercel, serverless deployment options.",
        "Use-case match is 50/100 for \"build Cloudflare-ready AI agents\".",
        "It matches the requested docker deployment target.",
        "It is classified as rag_framework.",
        "Ranking signals: community 79/100, maintenance 68/100."
      ],
      "decision_summary": "mem0ai/mem0 is an exploration candidate for \"build Cloudflare-ready AI agents\": recommendation score 56/100 with matched constraints, but quality and maturity signals need review.",
      "fit_profile": {
        "primary_fit": "Partial use-case overlap for \"build Cloudflare-ready AI agents\"; validate the target workflow.",
        "deployment_fit": "Matches requested docker deployment.",
        "maturity": "High maturity signal from community and maintenance scores.",
        "agent_readiness": "Agent-readable summary and use cases are available."
      },
      "adoption_plan": [
        "Open /projects/mem0ai/mem0 to verify license, language, classification evidence, and quality signal confidence.",
        "Inspect /graph/mem0ai/mem0 for dependencies, related projects, deployment targets, and alternatives.",
        "Use the matched constraints (deployment, category) as the initial acceptance checklist.",
        "Prototype the docker deployment path before committing to a migration.",
        "Compare against /alternatives/mem0ai/mem0 before final selection."
      ],
      "risk_flags": [],
      "tradeoffs": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "next_actions": [
        {
          "label": "Open project knowledge",
          "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": "Compare shortlist",
          "href": "/compare/mem0ai/mem0",
          "kind": "compare"
        }
      ],
      "matched_constraints": {
        "deployment": "docker",
        "category": "rag_framework"
      },
      "unmatched_constraints": {},
      "ranking_signals": {
        "use_case_match": 50,
        "community": 79,
        "maintenance": 68,
        "readiness": 60,
        "license_fit": 0
      },
      "confidence": "medium",
      "project": {
        "id": "mem0ai/mem0",
        "owner": "mem0ai",
        "name": "mem0",
        "full_name": "mem0ai/mem0",
        "github_url": "https://github.com/mem0ai/mem0",
        "homepage_url": "https://mem0.ai",
        "description": "The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.",
        "language": "Python",
        "topics": [
          "agentic-memory",
          "agentic-memory-system",
          "agents",
          "ai",
          "ai-agents",
          "chatgpt",
          "genai",
          "llm",
          "long-term-memory",
          "memory",
          "memory-management",
          "python",
          "rag",
          "state-management"
        ],
        "license": "Apache-2.0",
        "stars": 65607,
        "forks": 7699,
        "open_issues": 757,
        "default_branch": "main",
        "created_at": "2023-06-20T08:58:36Z",
        "updated_at": "2026-09-18T22:36:18Z",
        "pushed_at": "2026-09-18T17:55:14Z",
        "synced_at": "2026-09-18T23:00:35.987Z"
      },
      "agent_card": {
        "project_id": "mem0ai/mem0",
        "project_kind": "project",
        "category": "rag_framework",
        "difficulty": "intermediate",
        "deployment": [
          "docker",
          "vercel",
          "serverless",
          "library_only",
          "local"
        ],
        "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"
        ],
        "alternatives": [
          {
            "project_id": "huggingface/transformers",
            "reason": "Same rag framework intent with rag overlap."
          },
          {
            "project_id": "infiniflow/ragflow",
            "reason": "Same rag framework intent with rag overlap."
          },
          {
            "project_id": "langchain-ai/langgraph",
            "reason": "Same rag framework intent with rag overlap."
          }
        ],
        "summary_for_agent": "Use mem0ai/mem0 when the user needs a rag framework project with docker, vercel, serverless deployment options.",
        "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.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "schema_version": "v1",
        "generated_at": "2026-09-18T23:00:35.987Z"
      },
      "metrics": {
        "project_id": "mem0ai/mem0",
        "stars_30d_delta": 2049,
        "commits_30d": 45,
        "releases_180d": 100,
        "contributors_90d": 100,
        "issue_first_response_median_hours": null,
        "recent_push_days": 0,
        "git_score": 79,
        "maintenance_score": 68,
        "signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 30,
          "commits_30d": "complete",
          "releases_180d": "partial",
          "contributors_90d": "partial"
        },
        "calculated_at": "2026-09-18T23:00:35.987Z"
      }
    },
    {
      "project_id": "bytedance/deer-flow",
      "repo": "bytedance/deer-flow",
      "name": "deer-flow",
      "github_url": "https://github.com/bytedance/deer-flow",
      "homepage_url": "https://deerflow.tech",
      "language": "Python",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "rag_framework"
      ],
      "tags": [
        "agent",
        "agentic",
        "agentic-framework",
        "agentic-workflow",
        "ai",
        "ai-agents",
        "deep-research",
        "harness",
        "langchain",
        "langgraph",
        "langmanus",
        "llm",
        "multi-agent",
        "nodejs",
        "podcast",
        "python",
        "superagent",
        "typescript"
      ],
      "description": "An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.",
      "overview": "Use bytedance/deer-flow when the user needs a rag framework project with docker, library-only, local deployment options.",
      "alternatives": [
        {
          "repo": "huggingface/transformers",
          "reason": "Same rag framework intent with rag overlap."
        },
        {
          "repo": "mem0ai/mem0",
          "reason": "Same rag framework intent with rag overlap."
        },
        {
          "repo": "langchain-ai/langgraph",
          "reason": "Same rag framework intent with rag overlap."
        }
      ],
      "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": "medium",
          "evidence": [
            "Matched \"rag\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"npm 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, docker daemon, postgres.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 82662,
        "recent_commits": 100,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 1
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 30,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "partial"
      },
      "quality_score": 70,
      "agent_score": 84,
      "score": 51,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 53,
        "deployment": 90,
        "popularity": 98,
        "community": 100
      },
      "git_top_score": 84,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 58,
        "documentation": 84,
        "stability": 68,
        "adoption": 100,
        "agent_readability": 100
      },
      "verification": {
        "schema_version": "git-top.verification.v1",
        "overall_status": "partial",
        "observed_at": "2026-09-19T02:30:33.467Z",
        "signals": {
          "activity": {
            "status": "observed",
            "source": "github_metadata",
            "evidence": [
              "project.pushed_at",
              "metrics.recent_push_days"
            ]
          },
          "license": {
            "status": "observed",
            "source": "github_metadata",
            "evidence": [
              "project.license"
            ]
          },
          "documentation": {
            "status": "observed",
            "source": "github_metadata",
            "evidence": [
              "project.description"
            ]
          },
          "runtime": {
            "status": "inferred",
            "source": "git_top_heuristic",
            "evidence": [
              "agent_card.deployment",
              "agent_card.cloudflare_ready"
            ]
          },
          "install": {
            "status": "not_run",
            "source": "git_top_runtime",
            "evidence": [
              "installation/build probe is not enabled"
            ]
          },
          "security": {
            "status": "not_run",
            "source": "git_top_runtime",
            "evidence": [
              "dependency/security scan is not enabled"
            ]
          },
          "mcp": {
            "status": "not_applicable",
            "source": "git_top_runtime",
            "evidence": [
              "project is not classified as mcp_server"
            ]
          }
        },
        "coverage": {
          "observed": 3,
          "inferred": 1,
          "not_run": 2,
          "unknown": 0
        },
        "next_steps": [
          "Run an installation/build probe before production adoption.",
          "Run a dependency and security scan before treating the score as a trust claim."
        ]
      },
      "summary": {
        "tl_dr": "Use bytedance/deer-flow when the user needs a rag framework project with docker, library-only, local deployment options.",
        "purpose": "Use bytedance/deer-flow 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": [
          {
            "repo": "huggingface/transformers",
            "reason": "Same rag framework intent with rag overlap."
          },
          {
            "repo": "mem0ai/mem0",
            "reason": "Same rag framework intent with rag overlap."
          },
          {
            "repo": "langchain-ai/langgraph",
            "reason": "Same rag framework intent with rag overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"rag\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"npm 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, docker daemon, postgres.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 30,
          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "partial"
        },
        "verification": {
          "schema_version": "git-top.verification.v1",
          "overall_status": "partial",
          "observed_at": "2026-09-19T02:30:33.467Z",
          "signals": {
            "activity": {
              "status": "observed",
              "source": "github_metadata",
              "evidence": [
                "project.pushed_at",
                "metrics.recent_push_days"
              ]
            },
            "license": {
              "status": "observed",
              "source": "github_metadata",
              "evidence": [
                "project.license"
              ]
            },
            "documentation": {
              "status": "observed",
              "source": "github_metadata",
              "evidence": [
                "project.description"
              ]
            },
            "runtime": {
              "status": "inferred",
              "source": "git_top_heuristic",
              "evidence": [
                "agent_card.deployment",
                "agent_card.cloudflare_ready"
              ]
            },
            "install": {
              "status": "not_run",
              "source": "git_top_runtime",
              "evidence": [
                "installation/build probe is not enabled"
              ]
            },
            "security": {
              "status": "not_run",
              "source": "git_top_runtime",
              "evidence": [
                "dependency/security scan is not enabled"
              ]
            },
            "mcp": {
              "status": "not_applicable",
              "source": "git_top_runtime",
              "evidence": [
                "project is not classified as mcp_server"
              ]
            }
          },
          "coverage": {
            "observed": 3,
            "inferred": 1,
            "not_run": 2,
            "unknown": 0
          },
          "next_steps": [
            "Run an installation/build probe before production adoption.",
            "Run a dependency and security scan before treating the score as a trust claim."
          ]
        },
        "source_fields": [
          "agent_card.classification",
          "agent_card.deployment",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "metrics",
          "project.description",
          "project.language",
          "project.license",
          "project.topics",
          "recommendation.constraints",
          "recommendation.query",
          "recommendation.ranking_signals",
          "verification.signals"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "Independent installation, security, or runtime probes have not been run for this project.",
          "Partial or estimated quality signals: commits30d, contributors90d.",
          "users expecting a complete hosted product"
        ],
        "recommendation_reasons": [
          "Use bytedance/deer-flow when the user needs a rag framework project with docker, library-only, local deployment options.",
          "Use-case match is 50/100 for \"build Cloudflare-ready AI agents\".",
          "It matches the requested docker deployment target.",
          "It is classified as rag_framework.",
          "Ranking signals: community 70/100, maintenance 53/100."
        ],
        "ranking_signals": {
          "use_case_match": 50,
          "community": 70,
          "maintenance": 53,
          "readiness": 60,
          "license_fit": 0
        },
        "matched_constraints": {
          "deployment": "docker",
          "category": "rag_framework"
        },
        "unmatched_constraints": {},
        "confidence_reason": "Medium confidence because the 51/100 recommendation is usable but quality or maturity evidence should be reviewed; Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-09-19T02:30:33.467Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "Independent installation, security, or runtime probes have not been run for this project.",
        "Partial or estimated quality signals: commits30d, contributors90d.",
        "users expecting a complete hosted product"
      ],
      "confidence_reason": "Medium confidence because the 51/100 recommendation is usable but quality or maturity evidence should be reviewed; Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
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        "agent_card.deployment",
        "agent_card.summary_for_agent",
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        "recommendation.ranking_signals",
        "verification.signals"
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      "reason": "Use bytedance/deer-flow when the user needs a rag framework project with docker, library-only, local deployment options. Use-case match is 50/100 for \"build Cloudflare-ready AI agents\". It matches the requested docker deployment target. It is classified as rag_framework. Ranking signals: community 70/100, maintenance 53/100.",
      "reasons": [
        "Use bytedance/deer-flow when the user needs a rag framework project with docker, library-only, local deployment options.",
        "Use-case match is 50/100 for \"build Cloudflare-ready AI agents\".",
        "It matches the requested docker deployment target.",
        "It is classified as rag_framework.",
        "Ranking signals: community 70/100, maintenance 53/100."
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      "decision_summary": "bytedance/deer-flow is an exploration candidate for \"build Cloudflare-ready AI agents\": recommendation score 51/100 with matched constraints, but quality and maturity signals need review.",
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        "agent_readiness": "Agent-readable summary and use cases are available."
      },
      "adoption_plan": [
        "Open /projects/bytedance/deer-flow to verify license, language, classification evidence, and quality signal confidence.",
        "Inspect /graph/bytedance/deer-flow for dependencies, related projects, deployment targets, and alternatives.",
        "Use the matched constraints (deployment, category) as the initial acceptance checklist.",
        "Prototype the docker deployment path before committing to a migration.",
        "Compare against /alternatives/bytedance/deer-flow before final selection."
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          "href": "/graph/bytedance/deer-flow",
          "kind": "graph"
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        {
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          "href": "/alternatives/bytedance/deer-flow",
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        {
          "label": "Explain score",
          "href": "/score/bytedance/deer-flow",
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        "license_fit": 0
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      "confidence": "medium",
      "project": {
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        "stars": 82662,
        "forks": 11414,
        "open_issues": 889,
        "default_branch": "main",
        "created_at": "2025-05-07T02:50:19Z",
        "updated_at": "2026-09-19T02:29:08Z",
        "pushed_at": "2026-09-19T02:29:03Z",
        "synced_at": "2026-09-19T02:30:33.467Z"
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          {
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        "schema_version": "v1",
        "generated_at": "2026-09-19T02:30:33.467Z"
      },
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        "project_id": "bytedance/deer-flow",
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          "stars30d_window_days": 30,
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          "contributors_90d": "partial"
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        "calculated_at": "2026-09-19T02:30:33.467Z"
      }
    },
    {
      "project_id": "xorbitsai/inference",
      "repo": "xorbitsai/inference",
      "name": "inference",
      "github_url": "https://github.com/xorbitsai/inference",
      "homepage_url": "https://inference.readthedocs.io",
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          "repo": "huggingface/transformers",
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        },
        {
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        {
          "repo": "langroid/langroid",
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            "Matched \"pip install\" in repository content.",
            "Matched \"library\" in repository content.",
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            "Runtime blocker: python, cuda, gpu.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
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        "recent_commits": 100,
        "contributors": 100,
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      "quality_signal_confidence": {
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        "stars30d_window_days": 31,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "partial"
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      "agent_score": 88,
      "score": 50,
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        "documentation": 92,
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        "adoption": 100,
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          "license": {
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          "unknown": 0
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          "Run a dependency and security scan before treating the score as a trust claim."
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          "queries",
          "embedding store"
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          "grounded answers",
          "indexes"
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          "index documents for retrieval",
          "retrieval augmented generation",
          "document search",
          "knowledge grounding"
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          "users expecting a complete hosted product",
          "simple prompt apps",
          "tasks without external knowledge"
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          "library_only",
          "local",
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          {
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          {
            "repo": "langroid/langroid",
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              "Matched \"retrieval-augmented\" in repository content."
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          },
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            "confidence": "high",
            "evidence": [
              "Matched \"kubernetes\" in repository content.",
              "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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          },
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            "confidence": "medium",
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              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
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            "confidence": "high",
            "evidence": [
              "Runtime blocker: python, cuda, gpu.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 31,
          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "partial"
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            "documentation": {
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              "source": "github_metadata",
              "evidence": [
                "project.description"
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            "runtime": {
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              "source": "git_top_heuristic",
              "evidence": [
                "agent_card.deployment",
                "agent_card.cloudflare_ready"
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            },
            "install": {
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              "source": "git_top_runtime",
              "evidence": [
                "installation/build probe is not enabled"
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            },
            "security": {
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              "source": "git_top_runtime",
              "evidence": [
                "dependency/security scan is not enabled"
              ]
            },
            "mcp": {
              "status": "not_applicable",
              "source": "git_top_runtime",
              "evidence": [
                "project is not classified as mcp_server"
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            }
          },
          "coverage": {
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            "inferred": 1,
            "not_run": 2,
            "unknown": 0
          },
          "next_steps": [
            "Run an installation/build probe before production adoption.",
            "Run a dependency and security scan before treating the score as a trust claim."
          ]
        },
        "source_fields": [
          "agent_card.classification",
          "agent_card.deployment",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "metrics",
          "project.description",
          "project.language",
          "project.license",
          "project.topics",
          "recommendation.constraints",
          "recommendation.query",
          "recommendation.ranking_signals",
          "verification.signals"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "Independent installation, security, or runtime probes have not been run for this project.",
          "Partial or estimated quality signals: commits30d, contributors90d.",
          "users expecting a complete hosted product"
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        "recommendation_reasons": [
          "Use xorbitsai/inference when the user needs a rag framework project with docker, kubernetes, library-only deployment options.",
          "Use-case match is 50/100 for \"build Cloudflare-ready AI agents\".",
          "It matches the requested docker deployment target.",
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        ],
        "ranking_signals": {
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          "community": 46,
          "maintenance": 76,
          "readiness": 60,
          "license_fit": 0
        },
        "matched_constraints": {
          "deployment": "docker",
          "category": "rag_framework"
        },
        "unmatched_constraints": {},
        "confidence_reason": "Medium confidence because the 50/100 recommendation is usable but quality or maturity evidence should be reviewed; Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-09-19T03:30:45.001Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "Independent installation, security, or runtime probes have not been run for this project.",
        "Partial or estimated quality signals: commits30d, contributors90d.",
        "users expecting a complete hosted product"
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      "confidence_reason": "Medium confidence because the 50/100 recommendation is usable but quality or maturity evidence should be reviewed; Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
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        "project.license",
        "project.topics",
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        "recommendation.query",
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        "verification.signals"
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      "last_verified_at": "2026-09-19T03:30:45.001Z",
      "reason": "Use xorbitsai/inference when the user needs a rag framework project with docker, kubernetes, library-only deployment options. Use-case match is 50/100 for \"build Cloudflare-ready AI agents\". It matches the requested docker deployment target. It is classified as rag_framework. Ranking signals: community 46/100, maintenance 76/100.",
      "reasons": [
        "Use xorbitsai/inference when the user needs a rag framework project with docker, kubernetes, library-only deployment options.",
        "Use-case match is 50/100 for \"build Cloudflare-ready AI agents\".",
        "It matches the requested docker deployment target.",
        "It is classified as rag_framework.",
        "Ranking signals: community 46/100, maintenance 76/100."
      ],
      "decision_summary": "xorbitsai/inference is an exploration candidate for \"build Cloudflare-ready AI agents\": recommendation score 50/100 with matched constraints, but quality and maturity signals need review.",
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        "deployment_fit": "Matches requested docker deployment.",
        "maturity": "Moderate maturity signal; maintenance is acceptable but compare community adoption.",
        "agent_readiness": "Agent-readable summary and use cases are available."
      },
      "adoption_plan": [
        "Open /projects/xorbitsai/inference to verify license, language, classification evidence, and quality signal confidence.",
        "Inspect /graph/xorbitsai/inference for dependencies, related projects, deployment targets, and alternatives.",
        "Use the matched constraints (deployment, category) as the initial acceptance checklist.",
        "Prototype the docker deployment path before committing to a migration.",
        "Compare against /alternatives/xorbitsai/inference before final selection."
      ],
      "risk_flags": [],
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        "users expecting a complete hosted product"
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      "next_actions": [
        {
          "label": "Open project knowledge",
          "href": "/projects/xorbitsai/inference",
          "kind": "project"
        },
        {
          "label": "Inspect graph",
          "href": "/graph/xorbitsai/inference",
          "kind": "graph"
        },
        {
          "label": "Find alternatives",
          "href": "/alternatives/xorbitsai/inference",
          "kind": "alternatives"
        },
        {
          "label": "Explain score",
          "href": "/score/xorbitsai/inference",
          "kind": "score"
        },
        {
          "label": "Compare shortlist",
          "href": "/compare/xorbitsai/inference",
          "kind": "compare"
        }
      ],
      "matched_constraints": {
        "deployment": "docker",
        "category": "rag_framework"
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      "ranking_signals": {
        "use_case_match": 50,
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        "maintenance": 76,
        "readiness": 60,
        "license_fit": 0
      },
      "confidence": "medium",
      "project": {
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        "updated_at": "2026-09-19T01:48:19Z",
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        "synced_at": "2026-09-19T03:30:45.001Z"
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          {
            "project_id": "langroid/langroid",
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        "generated_at": "2026-09-19T03:30:45.001Z"
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        "stars_30d_delta": 74,
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    },
    {
      "project_id": "ggml-org/llama.cpp",
      "repo": "ggml-org/llama.cpp",
      "name": "llama.cpp",
      "github_url": "https://github.com/ggml-org/llama.cpp",
      "homepage_url": "https://llama.app",
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      "project_kind": "project",
      "category": [
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      "description": "LLM inference in C/C++",
      "overview": "Use ggml-org/llama.cpp when the user needs a rag framework project with docker, library-only, local deployment options.",
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        {
          "repo": "ggml-org/whisper.cpp",
          "reason": "Same rag framework intent with rag overlap."
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        {
          "repo": "cactus-compute/cactus",
          "reason": "Same rag framework intent with rag overlap."
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        {
          "repo": "facebookresearch/faiss",
          "reason": "Same rag framework intent with rag overlap."
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        "cloud"
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            "Local usage is assumed for open source repositories unless contradicted."
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            "No strong beginner or advanced signal found; defaulting to intermediate."
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            "Runtime blocker: cuda, gpu.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
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        "recent_commits": 100,
        "contributors": 100,
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      "score": 49,
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        "popularity": 100,
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      "git_top_score": 93,
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        "documentation": 84,
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        "adoption": 100,
        "agent_readability": 100
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              "dependency/security scan is not enabled"
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          "unknown": 0
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          "Run an installation/build probe before production adoption.",
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          "knowledge grounding"
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              "Local usage is assumed for open source repositories unless contradicted."
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              "Runtime blocker: cuda, gpu.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
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          "stars_30d_delta": "snapshot",
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              "source": "git_top_runtime",
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              "status": "not_applicable",
              "source": "git_top_runtime",
              "evidence": [
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            "unknown": 0
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            "Run an installation/build probe before production adoption.",
            "Run a dependency and security scan before treating the score as a trust claim."
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          "agent_card.deployment",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "metrics",
          "project.description",
          "project.language",
          "project.license",
          "project.topics",
          "recommendation.constraints",
          "recommendation.query",
          "recommendation.ranking_signals",
          "verification.signals"
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          "edge-only Cloudflare Workers deployment without adaptation",
          "Independent installation, security, or runtime probes have not been run for this project.",
          "Partial or estimated quality signals: commits30d, releases180d, contributors90d.",
          "Use-case overlap is weak in indexed text.",
          "users expecting a complete hosted product"
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          "Use ggml-org/llama.cpp when the user needs a rag framework project with docker, library-only, local deployment options.",
          "Use-case match is 25/100 for \"build Cloudflare-ready AI agents\".",
          "It matches the requested docker deployment target.",
          "It is classified as rag_framework.",
          "Ranking signals: community 84/100, maintenance 76/100."
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          "use_case_match": 25,
          "community": 84,
          "maintenance": 76,
          "readiness": 60,
          "license_fit": 0
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        "matched_constraints": {
          "deployment": "docker",
          "category": "rag_framework"
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        "unmatched_constraints": {},
        "confidence_reason": "Medium confidence because the 49/100 recommendation is usable but quality or maturity evidence should be reviewed; Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-09-19T03:00:51.534Z"
      },
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        "edge-only Cloudflare Workers deployment without adaptation",
        "Independent installation, security, or runtime probes have not been run for this project.",
        "Partial or estimated quality signals: commits30d, releases180d, contributors90d.",
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        "users expecting a complete hosted product"
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      "confidence_reason": "Medium confidence because the 49/100 recommendation is usable but quality or maturity evidence should be reviewed; Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
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      "reason": "Use ggml-org/llama.cpp when the user needs a rag framework project with docker, library-only, local deployment options. Use-case match is 25/100 for \"build Cloudflare-ready AI agents\". It matches the requested docker deployment target. It is classified as rag_framework. Ranking signals: community 84/100, maintenance 76/100.",
      "reasons": [
        "Use ggml-org/llama.cpp when the user needs a rag framework project with docker, library-only, local deployment options.",
        "Use-case match is 25/100 for \"build Cloudflare-ready AI agents\".",
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        "agent_readiness": "Agent-readable summary and use cases are available."
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      "adoption_plan": [
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        "Inspect /graph/ggml-org/llama.cpp for dependencies, related projects, deployment targets, and alternatives.",
        "Use the matched constraints (deployment, category) as the initial acceptance checklist.",
        "Prototype the docker deployment path before committing to a migration.",
        "Compare against /alternatives/ggml-org/llama.cpp before final selection."
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        "license_fit": 0
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            "confidence": "high",
            "evidence": [
              "Runtime blocker: cuda, gpu.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
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        "schema_version": "v1",
        "generated_at": "2026-09-19T03:00:51.534Z"
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        "commits_30d": 100,
        "releases_180d": 100,
        "contributors_90d": 100,
        "issue_first_response_median_hours": null,
        "recent_push_days": 0,
        "git_score": 84,
        "maintenance_score": 76,
        "signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 31,
          "commits_30d": "partial",
          "releases_180d": "partial",
          "contributors_90d": "partial"
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        "calculated_at": "2026-09-19T03:00:51.534Z"
      }
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