{ "project": { "project_id": "co-l/openfox", "repo": "co-l/openfox", "name": "openfox", "github_url": "https://github.com/co-l/openfox", "homepage_url": null, "language": "TypeScript", "license": null, "project_kind": "project", "category": [ "local_llm_runtime" ], "tags": [], "description": "Local-LLM-first agentic coding assistant, with everything you need out of the box.", "overview": "Use co-l/openfox when the user needs a local llm runtime project with local, cloud deployment options.", "alternatives": [], "related": [], "dependencies": [ "LLM provider" ], "deployments": [ "local", "cloud" ], "difficulty": "beginner", "cloudflare_ready": false, "use_cases": [ "run local models", "serve inference endpoints", "prototype private LLM deployments" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "lightweight serverless applications" ], "classification": { "category": { "confidence": "medium", "evidence": [ "Matched \"local llm\" in repository content." ] }, "deployment": { "confidence": "medium", "evidence": [ "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": "low", "evidence": [ "No Cloudflare deployment signal detected." ] } }, "quality_signals": { "stars": 61, "recent_commits": 100, "contributors": 3, "issue_response_time_hours": null, "release_frequency_180d": 0 }, "quality_signal_confidence": { "stars_30d_delta": "estimated", "commits_30d": "partial", "releases_180d": "complete", "contributors_90d": "complete" }, "quality_score": 15, "agent_score": 56, "score": 66, "agent_score_breakdown": { "documentation": 90, "maintenance": 32, "deployment": 70, "popularity": 36, "community": 48 }, "git_top_score": 66, "git_top_score_breakdown": { "community": 69, "maintenance": 42, "documentation": 84, "stability": 70, "adoption": 49, "agent_readability": 90 }, "summary": { "tl_dr": "Use co-l/openfox when the user needs a local llm runtime project with local, cloud deployment options.", "purpose": "Use co-l/openfox when the user needs a local llm runtime project with local, cloud deployment options.", "install": "Follow the local runtime setup instructions in the repository.", "inputs": [ "model weights", "hardware/runtime config" ], "outputs": [ "local inference", "served endpoints", "runtime logs" ], "good_for": [ "run local models", "serve inference endpoints", "prototype private LLM deployments", "private inference", "local model serving", "self-hosted runtimes" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "lightweight serverless applications", "hosted SaaS deployment only", "non-ML projects" ], "deployment": [ "local", "cloud" ], "alternatives": [] }, "evidence": { "classification": { "category": { "confidence": "medium", "evidence": [ "Matched \"local llm\" in repository content." ] }, "deployment": { "confidence": "medium", "evidence": [ "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": "low", "evidence": [ "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", "lightweight serverless applications", "Low-confidence classification fields: cloudflareReady.", "Partial or estimated quality signals: stars30dDelta, commits30d." ], "confidence_reason": "Evidence is incomplete; use this project as an exploration candidate until classification and quality signals are reviewed.", "last_verified_at": "2026-07-08T10:01:00.410Z" }, "caveats": [ "edge-only Cloudflare Workers deployment without adaptation", "lightweight serverless applications", "Low-confidence classification fields: cloudflareReady.", "Partial or estimated quality signals: stars30dDelta, commits30d." ], "confidence_reason": "Evidence is incomplete; use this project as an exploration candidate until classification and quality signals are reviewed.", "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": "2026-07-08T10:01:00.410Z" }, "related": [ { "project_id": "vllm-project/vllm", "repo": "vllm-project/vllm", "name": "vllm", "github_url": "https://github.com/vllm-project/vllm", "homepage_url": "https://vllm.ai", "language": "Python", "license": "Apache-2.0", "project_kind": "project", "category": [ "local_llm_runtime" ], "tags": [ "amd", "blackwell", "cuda", "deepseek", "deepseek-v3", "gpt", "gpt-oss", "inference", "kimi", "llama", "llm", "llm-serving", "model-serving", "moe", "openai", "pytorch", "qwen", "qwen3", "tpu", "transformer" ], "description": "A high-throughput and memory-efficient inference and serving engine for LLMs", "overview": "Use vllm-project/vllm when the user needs a local llm runtime project with docker, library_only, local deployment options.", "alternatives": [], "related": [], "dependencies": [ "LLM provider" ], "deployments": [ "docker", "library_only", "local", "cloud" ], "difficulty": "advanced", "cloudflare_ready": false, "use_cases": [ "run local models", "serve inference endpoints", "prototype private LLM deployments" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product", "lightweight serverless applications" ], "classification": { "category": { "confidence": "medium", "evidence": [ "Matched \"gguf\" in repository content." ] }, "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 topics include infrastructure-heavy concepts." ] }, "cloudflare_ready": { "confidence": "high", "evidence": [ "Runtime blocker: python, cuda, gpu.", "No Cloudflare deployment signal detected." ] } }, "quality_signals": { "stars": 85770, "recent_commits": 100, "contributors": 100, "issue_response_time_hours": null, "release_frequency_180d": 19 }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 20, "commits_30d": "partial", "releases_180d": "complete", "contributors_90d": "partial" }, "quality_score": 84, "agent_score": 90, "score": 92, "agent_score_breakdown": { "documentation": 90, "maintenance": 76, "deployment": 90, "popularity": 99, "community": 100 }, "git_top_score": 92, "git_top_score_breakdown": { "community": 100, "maintenance": 84, "documentation": 92, "stability": 90, "adoption": 100, "agent_readability": 90 }, "summary": { "tl_dr": "Use vllm-project/vllm when the user needs a local llm runtime project with docker, library_only, local deployment options.", "purpose": "Use vllm-project/vllm when the user needs a local llm runtime project with docker, library_only, local deployment options.", "install": "Run with Docker using the repository's container instructions.", "inputs": [ "model weights", "hardware/runtime config" ], "outputs": [ "local inference", "served endpoints", "runtime logs" ], "good_for": [ "run local models", "serve inference endpoints", "prototype private LLM deployments", "private inference", "local model serving", "self-hosted runtimes" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product", "lightweight serverless applications", "hosted SaaS deployment only", "non-ML projects" ], "deployment": [ "docker", "library_only", "local", "cloud" ], "alternatives": [] }, "evidence": { "classification": { "category": { "confidence": "medium", "evidence": [ "Matched \"gguf\" in repository content." ] }, "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 topics include infrastructure-heavy concepts." ] }, "cloudflare_ready": { "confidence": "high", "evidence": [ "Runtime blocker: python, cuda, gpu.", "No Cloudflare deployment signal detected." ] } }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 20, "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", "lightweight serverless applications", "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": "2026-07-09T07:01:12.987Z" }, "caveats": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product", "lightweight serverless applications", "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": "2026-07-09T07:01:12.987Z" }, { "project_id": "vllm-project/vllm-omni", "repo": "vllm-project/vllm-omni", "name": "vllm-omni", "github_url": "https://github.com/vllm-project/vllm-omni", "homepage_url": "https://docs.vllm.ai/projects/vllm-omni", "language": "Python", "license": "Apache-2.0", "project_kind": "project", "category": [ "local_llm_runtime" ], "tags": [ "audio-generation", "diffusion", "image-generation", "inference", "model-serving", "multimodal", "pytorch", "transformer", "video-generation", "world-model" ], "description": "A framework for efficient model inference with omni-modality models", "overview": "Use vllm-project/vllm-omni when the user needs a local llm runtime project with local, cloud deployment options.", "alternatives": [], "related": [], "dependencies": [ "LLM provider" ], "deployments": [ "local", "cloud" ], "difficulty": "beginner", "cloudflare_ready": false, "use_cases": [ "run local models", "serve inference endpoints", "prototype private LLM deployments" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "lightweight serverless applications" ], "classification": { "category": { "confidence": "high", "evidence": [ "Manual product trust override for vllm-project/vllm-omni." ] }, "deployment": { "confidence": "medium", "evidence": [ "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, cuda, gpu.", "No Cloudflare deployment signal detected." ] } }, "quality_signals": { "stars": 5368, "recent_commits": 100, "contributors": 100, "issue_response_time_hours": null, "release_frequency_180d": 17 }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 9, "commits_30d": "partial", "releases_180d": "complete", "contributors_90d": "partial" }, "quality_score": 48, "agent_score": 82, "score": 91, "agent_score_breakdown": { "documentation": 90, "maintenance": 76, "deployment": 70, "popularity": 75, "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 vllm-project/vllm-omni when the user needs a local llm runtime project with local, cloud deployment options.", "purpose": "Use vllm-project/vllm-omni when the user needs a local llm runtime project with local, cloud deployment options.", "install": "Follow the local runtime setup instructions in the repository.", "inputs": [ "model weights", "hardware/runtime config" ], "outputs": [ "local inference", "served endpoints", "runtime logs" ], "good_for": [ "run local models", "serve inference endpoints", "prototype private LLM deployments", "private inference", "local model serving", "self-hosted runtimes" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "lightweight serverless applications", "hosted SaaS deployment only", "non-ML projects" ], "deployment": [ "local", "cloud" ], "alternatives": [] }, "evidence": { "classification": { "category": { "confidence": "high", "evidence": [ "Manual product trust override for vllm-project/vllm-omni." ] }, "deployment": { "confidence": "medium", "evidence": [ "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, cuda, gpu.", "No Cloudflare deployment signal detected." ] } }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 9, "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", "lightweight serverless applications", "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": "2026-06-30T16:00:37.665Z" }, "caveats": [ "edge-only Cloudflare Workers deployment without adaptation", "lightweight serverless applications", "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": "2026-06-30T16:00:37.665Z" }, { "project_id": "kserve/kserve", "repo": "kserve/kserve", "name": "kserve", "github_url": "https://github.com/kserve/kserve", "homepage_url": "https://kserve.github.io/website/", "language": "Go", "license": "Apache-2.0", "project_kind": "project", "category": [ "local_llm_runtime" ], "tags": [ "artificial-intelligence", "cncf", "genai", "hacktoberfest", "istio", "k8s", "knative", "kserve", "kubeflow", "kubernetes", "llm-inference", "machine-learning", "mlops", "model-interpretability", "model-serving", "pytorch", "service-mesh", "tensorflow", "vllm", "xgboost" ], "description": "Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes", "overview": "Use kserve/kserve when the user needs a local llm runtime project with docker, kubernetes, serverless deployment options.", "alternatives": [], "related": [], "dependencies": [ "LLM provider" ], "deployments": [ "docker", "kubernetes", "serverless", "local", "cloud" ], "difficulty": "beginner", "cloudflare_ready": false, "use_cases": [ "run local models", "serve inference endpoints", "prototype private LLM deployments" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "lightweight serverless applications" ], "classification": { "category": { "confidence": "high", "evidence": [ "Manual product trust override for kserve/kserve." ] }, "deployment": { "confidence": "high", "evidence": [ "Found Docker configuration file.", "Matched \"kubernetes\" in repository content.", "Matched \"serverless\" 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: gpu.", "No Cloudflare deployment signal detected." ] } }, "quality_signals": { "stars": 5631, "recent_commits": 67, "contributors": 100, "issue_response_time_hours": null, "release_frequency_180d": 9 }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 9, "commits_30d": "complete", "releases_180d": "complete", "contributors_90d": "partial" }, "quality_score": 38, "agent_score": 85, "score": 91, "agent_score_breakdown": { "documentation": 90, "maintenance": 65, "deployment": 100, "popularity": 75, "community": 100 }, "git_top_score": 91, "git_top_score_breakdown": { "community": 100, "maintenance": 76, "documentation": 92, "stability": 90, "adoption": 100, "agent_readability": 90 }, "summary": { "tl_dr": "Use kserve/kserve when the user needs a local llm runtime project with docker, kubernetes, serverless deployment options.", "purpose": "Use kserve/kserve when the user needs a local llm runtime project with docker, kubernetes, serverless deployment options.", "install": "Run with Docker using the repository's container instructions.", "inputs": [ "model weights", "hardware/runtime config" ], "outputs": [ "local inference", "served endpoints", "runtime logs" ], "good_for": [ "run local models", "serve inference endpoints", "prototype private LLM deployments", "private inference", "local model serving", "self-hosted runtimes" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "lightweight serverless applications", "hosted SaaS deployment only", "non-ML projects" ], "deployment": [ "docker", "kubernetes", "serverless", "local", "cloud" ], "alternatives": [] }, "evidence": { "classification": { "category": { "confidence": "high", "evidence": [ "Manual product trust override for kserve/kserve." ] }, "deployment": { "confidence": "high", "evidence": [ "Found Docker configuration file.", "Matched \"kubernetes\" in repository content.", "Matched \"serverless\" 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: gpu.", "No Cloudflare deployment signal detected." ] } }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 9, "commits_30d": "complete", "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", "lightweight serverless applications", "Partial or estimated quality signals: contributors90d." ], "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.", "last_verified_at": "2026-06-30T09:00:44.492Z" }, "caveats": [ "edge-only Cloudflare Workers deployment without adaptation", "lightweight serverless applications", "Partial or estimated quality signals: contributors90d." ], "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.", "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": "2026-06-30T09:00:44.492Z" }, { "project_id": "jaylfc/taOS", "repo": "jaylfc/taOS", "name": "taOS", "github_url": "https://github.com/jaylfc/taOS", "homepage_url": "https://taOS.my", "language": "Python", "license": "NOASSERTION", "project_kind": "project", "category": [ "local_llm_runtime" ], "tags": [ "agent-framework", "ai-agents", "ai-platform", "apple-silicon", "data-sovereignty", "distributed-computing", "kv-cache-quantization", "llm", "llm-inference", "local-first", "local-llm", "offline-first", "orange-pi", "privacy", "raspberry-pi", "rockchip-npu", "self-hosted", "turboquant", "vllm" ], "description": "Self-hosted AI agent OS. Your memory, chat, agents, and files stay on hardware you own, offline by default, cloud by choice. Offline AI memory (taOSmd), self-hosted multi-framework group chat, a full web desktop + app store, and auto-clustering across the consumer hardware you already have (Orange/Raspberry Pi, Mac mini, gaming PC).", "overview": "Use jaylfc/taOS when the user needs a local llm runtime project with library_only, local, cloud deployment options.", "alternatives": [], "related": [], "dependencies": [ "LLM provider" ], "deployments": [ "library_only", "local", "cloud" ], "difficulty": "beginner", "cloudflare_ready": false, "use_cases": [ "run local models", "serve inference endpoints", "prototype private LLM deployments" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product", "lightweight serverless applications" ], "classification": { "category": { "confidence": "low", "evidence": [] }, "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, gpu.", "No Cloudflare deployment signal detected." ] } }, "quality_signals": { "stars": 523, "recent_commits": 100, "contributors": 4, "issue_response_time_hours": null, "release_frequency_180d": 21 }, "quality_signal_confidence": { "stars_30d_delta": "estimated", "commits_30d": "partial", "releases_180d": "complete", "contributors_90d": "complete" }, "quality_score": 35, "agent_score": 67, "score": 81, "agent_score_breakdown": { "documentation": 90, "maintenance": 57, "deployment": 80, "popularity": 54, "community": 49 }, "git_top_score": 81, "git_top_score_breakdown": { "community": 81, "maintenance": 71, "documentation": 84, "stability": 90, "adoption": 75, "agent_readability": 90 }, "summary": { "tl_dr": "Use jaylfc/taOS when the user needs a local llm runtime project with library_only, local, cloud deployment options.", "purpose": "Use jaylfc/taOS when the user needs a local llm runtime project with library_only, local, cloud deployment options.", "install": "Install as a library or package using the repository instructions.", "inputs": [ "model weights", "hardware/runtime config" ], "outputs": [ "local inference", "served endpoints", "runtime logs" ], "good_for": [ "run local models", "serve inference endpoints", "prototype private LLM deployments", "private inference", "local model serving", "self-hosted runtimes" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product", "lightweight serverless applications", "hosted SaaS deployment only", "non-ML projects" ], "deployment": [ "library_only", "local", "cloud" ], "alternatives": [] }, "evidence": { "classification": { "category": { "confidence": "low", "evidence": [] }, "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, 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", "lightweight serverless applications", "Low-confidence classification fields: category.", "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": "2026-07-03T12:00:49.191Z" }, "caveats": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product", "lightweight serverless applications", "Low-confidence classification fields: category.", "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": "2026-07-03T12:00:49.191Z" }, { "project_id": "oobabooga/textgen", "repo": "oobabooga/textgen", "name": "textgen", "github_url": "https://github.com/oobabooga/textgen", "homepage_url": null, "language": "Python", "license": "AGPL-3.0", "project_kind": "project", "category": [ "local_llm_runtime" ], "tags": [], "description": "Open-source desktop app for local LLMs. Text, vision, tool-calling, OpenAI/Anthropic-compatible API. 100% private.", "overview": "Use oobabooga/textgen when the user needs a local llm runtime project with docker, library_only, local deployment options.", "alternatives": [], "related": [], "dependencies": [ "LLM provider" ], "deployments": [ "docker", "library_only", "local", "cloud" ], "difficulty": "intermediate", "cloudflare_ready": false, "use_cases": [ "run local models", "serve inference endpoints", "prototype private LLM deployments" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product", "lightweight serverless applications" ], "classification": { "category": { "confidence": "medium", "evidence": [ "Matched \"local llm\" 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, cuda, gpu.", "No Cloudflare deployment signal detected." ] } }, "quality_signals": { "stars": 47391, "recent_commits": 2, "contributors": 100, "issue_response_time_hours": null, "release_frequency_180d": 22 }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 9, "commits_30d": "complete", "releases_180d": "complete", "contributors_90d": "partial" }, "quality_score": 35, "agent_score": 83, "score": 85, "agent_score_breakdown": { "documentation": 90, "maintenance": 51, "deployment": 90, "popularity": 94, "community": 100 }, "git_top_score": 85, "git_top_score_breakdown": { "community": 100, "maintenance": 48, "documentation": 92, "stability": 90, "adoption": 100, "agent_readability": 90 }, "summary": { "tl_dr": "Use oobabooga/textgen when the user needs a local llm runtime project with docker, library_only, local deployment options.", "purpose": "Use oobabooga/textgen when the user needs a local llm runtime project with docker, library_only, local deployment options.", "install": "Run with Docker using the repository's container instructions.", "inputs": [ "model weights", "hardware/runtime config" ], "outputs": [ "local inference", "served endpoints", "runtime logs" ], "good_for": [ "run local models", "serve inference endpoints", "prototype private LLM deployments", "private inference", "local model serving", "self-hosted runtimes" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product", "lightweight serverless applications", "hosted SaaS deployment only", "non-ML projects" ], "deployment": [ "docker", "library_only", "local", "cloud" ], "alternatives": [] }, "evidence": { "classification": { "category": { "confidence": "medium", "evidence": [ "Matched \"local llm\" 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, cuda, gpu.", "No Cloudflare deployment signal detected." ] } }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 9, "commits_30d": "complete", "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", "lightweight serverless applications", "Partial or estimated quality signals: contributors90d." ], "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.", "last_verified_at": "2026-06-30T09:00:33.628Z" }, "caveats": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product", "lightweight serverless applications", "Partial or estimated quality signals: 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": "2026-06-30T09:00:33.628Z" }, { "project_id": "bentoml/BentoML", "repo": "bentoml/BentoML", "name": "BentoML", "github_url": "https://github.com/bentoml/BentoML", "homepage_url": "https://bentoml.com", "language": "Python", "license": "Apache-2.0", "project_kind": "project", "category": [ "local_llm_runtime" ], "tags": [ "ai-inference", "deep-learning", "generative-ai", "inference-platform", "llm", "llm-inference", "llm-serving", "llmops", "machine-learning", "ml-engineering", "mlops", "model-inference-service", "model-serving", "multimodal", "python" ], "description": "The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!", "overview": "Use bentoml/BentoML when the user needs a local llm runtime project with docker, library_only, local deployment options.", "alternatives": [], "related": [], "dependencies": [ "LLM provider" ], "deployments": [ "docker", "library_only", "local", "cloud" ], "difficulty": "beginner", "cloudflare_ready": false, "use_cases": [ "run local models", "serve inference endpoints", "prototype private LLM deployments" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product", "lightweight serverless applications" ], "classification": { "category": { "confidence": "high", "evidence": [ "Manual product trust override for bentoml/BentoML." ] }, "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, cuda, gpu.", "No Cloudflare deployment signal detected." ] } }, "quality_signals": { "stars": 8697, "recent_commits": 1, "contributors": 100, "issue_response_time_hours": null, "release_frequency_180d": 8 }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 9, "commits_30d": "complete", "releases_180d": "complete", "contributors_90d": "partial" }, "quality_score": 30, "agent_score": 80, "score": 84, "agent_score_breakdown": { "documentation": 90, "maintenance": 50, "deployment": 90, "popularity": 79, "community": 100 }, "git_top_score": 84, "git_top_score_breakdown": { "community": 100, "maintenance": 47, "documentation": 84, "stability": 90, "adoption": 100, "agent_readability": 90 }, "summary": { "tl_dr": "Use bentoml/BentoML when the user needs a local llm runtime project with docker, library_only, local deployment options.", "purpose": "Use bentoml/BentoML when the user needs a local llm runtime project with docker, library_only, local deployment options.", "install": "Run with Docker using the repository's container instructions.", "inputs": [ "model weights", "hardware/runtime config" ], "outputs": [ "local inference", "served endpoints", "runtime logs" ], "good_for": [ "run local models", "serve inference endpoints", "prototype private LLM deployments", "private inference", "local model serving", "self-hosted runtimes" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product", "lightweight serverless applications", "hosted SaaS deployment only", "non-ML projects" ], "deployment": [ "docker", "library_only", "local", "cloud" ], "alternatives": [] }, "evidence": { "classification": { "category": { "confidence": "high", "evidence": [ "Manual product trust override for bentoml/BentoML." ] }, "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, cuda, gpu.", "No Cloudflare deployment signal detected." ] } }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 9, "commits_30d": "complete", "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", "lightweight serverless applications", "Partial or estimated quality signals: contributors90d." ], "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.", "last_verified_at": "2026-06-30T16:00:45.619Z" }, "caveats": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product", "lightweight serverless applications", "Partial or estimated quality signals: contributors90d." ], "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.", "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": "2026-06-30T16:00:45.619Z" }, { "project_id": "Atrayee-dev/secure-ai-agent-boundary", "repo": "Atrayee-dev/secure-ai-agent-boundary", "name": "secure-ai-agent-boundary", "github_url": "https://github.com/Atrayee-dev/secure-ai-agent-boundary", "homepage_url": null, "language": "HTML", "license": null, "project_kind": "project", "category": [ "local_llm_runtime" ], "tags": [ "ai-security", "claude-opus", "coding-agents", "data-boundary", "government-tech", "gpt-5-5", "local-llm", "mirogate", "secure-ai", "secure-coding" ], "description": "Secure AI Engineering Framework 2026: Data-Boundary Security for Frontier Models", "overview": "Use Atrayee-dev/secure-ai-agent-boundary when the user needs a local llm runtime project with library_only, local, cloud deployment options.", "alternatives": [], "related": [], "dependencies": [ "LLM provider" ], "deployments": [ "library_only", "local", "cloud" ], "difficulty": "beginner", "cloudflare_ready": false, "use_cases": [ "run local models", "serve inference endpoints", "prototype private LLM deployments" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product", "lightweight serverless applications" ], "classification": { "category": { "confidence": "low", "evidence": [] }, "deployment": { "confidence": "high", "evidence": [ "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": 151, "recent_commits": 40, "contributors": 2, "issue_response_time_hours": null, "release_frequency_180d": 0 }, "quality_signal_confidence": { "stars_30d_delta": "estimated", "commits_30d": "complete", "releases_180d": "complete", "contributors_90d": "complete" }, "quality_score": 39, "agent_score": 57, "score": 66, "agent_score_breakdown": { "documentation": 90, "maintenance": 23, "deployment": 80, "popularity": 44, "community": 47 }, "git_top_score": 66, "git_top_score_breakdown": { "community": 70, "maintenance": 36, "documentation": 92, "stability": 70, "adoption": 48, "agent_readability": 90 }, "summary": { "tl_dr": "Use Atrayee-dev/secure-ai-agent-boundary when the user needs a local llm runtime project with library_only, local, cloud deployment options.", "purpose": "Use Atrayee-dev/secure-ai-agent-boundary when the user needs a local llm runtime project with library_only, local, cloud deployment options.", "install": "Install as a library or package using the repository instructions.", "inputs": [ "model weights", "hardware/runtime config" ], "outputs": [ "local inference", "served endpoints", "runtime logs" ], "good_for": [ "run local models", "serve inference endpoints", "prototype private LLM deployments", "private inference", "local model serving", "self-hosted runtimes" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product", "lightweight serverless applications", "hosted SaaS deployment only", "non-ML projects" ], "deployment": [ "library_only", "local", "cloud" ], "alternatives": [] }, "evidence": { "classification": { "category": { "confidence": "low", "evidence": [] }, "deployment": { "confidence": "high", "evidence": [ "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", "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", "lightweight serverless applications", "Low-confidence classification fields: category.", "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": "2026-07-02T23:00:47.983Z" }, "caveats": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product", "lightweight serverless applications", "Low-confidence classification fields: category.", "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": "2026-07-02T23:00:47.983Z" }, { "project_id": "mozilla-ai/llamafile", "repo": "mozilla-ai/llamafile", "name": "llamafile", "github_url": "https://github.com/mozilla-ai/llamafile", "homepage_url": "https://docs.mozilla.ai/llamafile", "language": "C++", "license": "NOASSERTION", "project_kind": "project", "category": [ "local_llm_runtime" ], "tags": [ "cross-platform", "gguf", "llama-cpp", "local-ai", "local-inference", "local-llm", "open-source-ai", "single-file-executable", "speech-to-text" ], "description": "Distribute and run LLMs with a single file.", "overview": "Use mozilla-ai/llamafile when the user needs a local llm runtime project with local, cloud deployment options.", "alternatives": [], "related": [], "dependencies": [ "LLM provider" ], "deployments": [ "local", "cloud" ], "difficulty": "intermediate", "cloudflare_ready": false, "use_cases": [ "run local models", "serve inference endpoints", "prototype private LLM deployments" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "lightweight serverless applications" ], "classification": { "category": { "confidence": "medium", "evidence": [ "Matched \"gguf\" in metadata." ] }, "deployment": { "confidence": "medium", "evidence": [ "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: gpu.", "No Cloudflare deployment signal detected." ] } }, "quality_signals": { "stars": 25121, "recent_commits": 12, "contributors": 73, "issue_response_time_hours": null, "release_frequency_180d": 4 }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 8, "commits_30d": "complete", "releases_180d": "complete", "contributors_90d": "complete" }, "quality_score": 25, "agent_score": 76, "score": 84, "agent_score_breakdown": { "documentation": 90, "maintenance": 44, "deployment": 70, "popularity": 88, "community": 100 }, "git_top_score": 84, "git_top_score_breakdown": { "community": 100, "maintenance": 47, "documentation": 84, "stability": 90, "adoption": 100, "agent_readability": 90 }, "summary": { "tl_dr": "Use mozilla-ai/llamafile when the user needs a local llm runtime project with local, cloud deployment options.", "purpose": "Use mozilla-ai/llamafile when the user needs a local llm runtime project with local, cloud deployment options.", "install": "Follow the local runtime setup instructions in the repository.", "inputs": [ "model weights", "hardware/runtime config" ], "outputs": [ "local inference", "served endpoints", "runtime logs" ], "good_for": [ "run local models", "serve inference endpoints", "prototype private LLM deployments", "private inference", "local model serving", "self-hosted runtimes" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "lightweight serverless applications", "hosted SaaS deployment only", "non-ML projects" ], "deployment": [ "local", "cloud" ], "alternatives": [] }, "evidence": { "classification": { "category": { "confidence": "medium", "evidence": [ "Matched \"gguf\" in metadata." ] }, "deployment": { "confidence": "medium", "evidence": [ "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: gpu.", "No Cloudflare deployment signal detected." ] } }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 8, "commits_30d": "complete", "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", "lightweight serverless applications" ], "confidence_reason": "Evidence is incomplete; use this project as an exploration candidate until classification and quality signals are reviewed.", "last_verified_at": "2026-06-30T00:01:14.426Z" }, "caveats": [ "edge-only Cloudflare Workers deployment without adaptation", "lightweight serverless applications" ], "confidence_reason": "Evidence is incomplete; use this project as an exploration candidate until classification and quality signals are reviewed.", "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": "2026-06-30T00:01:14.426Z" } ], "resolved_from": { "requested_id": "co-l/openfox", "resolved_id": "co-l/openfox", "resolution": "direct" }, "metadata": { "source": "d1", "reason": "d1_query", "project_count": 895, "generated_at": "2026-07-09T14:52:44.821Z", "loaded_project_limit": 2000, "truncated": false } }