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Required when targeting a gated repository (license-protected models)." } ] }, { "urn": "cap:candle;in=\"media:audio;speech;wav\";ml-model;out=\"media:record;textable;transcription\";transcribe", "title": "Audio Transcription", "command": "transcribe", "cap_description": "Transcribe audio using Whisper models.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:audio;speech;wav" }, { "position": 0 } ], "arg_description": "Path to the audio file (WAV format)" }, { "media_urn": "media:model-spec;candle;textable;transcription;repo-safetensors;tokenizer-unified", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--model" } ], "arg_description": "Whisper Model spec with repo prefix", "default_value": "hf:openai/whisper-large-v3-turbo?include=*.json,*.safetensors" }, { "media_urn": "media:language;textable", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--language" } ], "arg_description": "Language code (e.g., 'en', 'es', 'fr')", "default_value": "en" }, { "media_urn": "media:timestamps;textable", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--timestamps" } ], "arg_description": "Include timestamps in output", "default_value": false }, { "media_urn": "media:hf-token;secret;textable", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--hf-token" } ], "arg_description": "HuggingFace bearer token. Required when targeting a gated repository (license-protected models)." } ] }, { "urn": "cap:candle;generate-text;in=media:textable;llm;ml-model;out=\"media:plain-text;textable;txt\"", "title": "Generate Text with LLM (Candle)", "command": "run_inference", "cap_description": "Generate text using candle Mistral models with safetensors backend.", "args": [ { "media_urn": "media:textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:textable" }, { "position": 0 } ] }, { "media_urn": "media:system-prompt;textable", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--system-prompt" } ], "arg_description": "System prompt frame (applied via chat template when present)", "default_value": "You are a helpful assistant. Respond to the user's input with a useful, accurate, and concise reply. 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Echoes input as output unchanged. Mandatory in every capability set.", "args": [ { "media_urn": "media:", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:" } ] } ], "output": { "media_urn": "media:", "output_description": "The input data, unchanged", "is_sequence": false } }, { "urn": "cap:gguf;in=\"media:json;llm-generation-request;record\";llm;llm-inference;ml-model;out=\"media:llm-text-stream;ndjson\"", "title": "LLM Text Generation", "command": "inference", "cap_description": "Generate text using GGUF models. Output is NDJSON streaming tokens.", "args": [ { "media_urn": "media:llm-generation-request;json;record", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:llm-generation-request;json;record" } ] }, { "media_urn": "media:hf-token;secret;textable", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--hf-token" } ], "arg_description": "HuggingFace bearer token. 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Required when targeting a gated repository." }, { "media_urn": "media:llm-generation-request;json;record", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:llm-generation-request;json;record" } ] } ] }, { "urn": "cap:gguf;in=\"media:json;llm-generation-request;record\";llm;llm-vocab;ml-model;out=\"media:json;llm-vocab-response;record\"", "title": "Get Model Vocabulary", "command": "vocab", "cap_description": "Extract vocabulary tokens from a GGUF model for constraint initialization.", "args": [ { "media_urn": "media:llm-generation-request;json;record", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:llm-generation-request;json;record" } ] }, { "media_urn": "media:hf-token;secret;textable", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--hf-token" } ], "arg_description": "HuggingFace bearer token. Required when targeting a gated repository." } ] }, { "urn": "cap:gguf;in=\"media:json;llm-generation-request;record\";llm;llm-model-info;ml-model;out=\"media:json;llm-model-info;record\"", "title": "Get Model Info", "command": "info", "cap_description": "Query metadata and capabilities of a GGUF model.", "args": [ { "media_urn": "media:llm-generation-request;json;record", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:llm-generation-request;json;record" } ] }, { "media_urn": "media:hf-token;secret;textable", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--hf-token" } ], "arg_description": "HuggingFace bearer token. Required when targeting a gated repository." } ] }, { "urn": "cap:generate-text;gguf;in=media:textable;llm;ml-model;out=\"media:plain-text;textable;txt\"", "title": "Generate Text with LLM (GGUF)", "command": "run_inference", "cap_description": "Generate text using GGUF models with llama.cpp backend.", "args": [ { "media_urn": "media:textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:textable" }, { "position": 0 } ] }, { "media_urn": "media:system-prompt;textable", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--system-prompt" } ], "arg_description": "System prompt frame (applied via chat template when present)", "default_value": "You are a helpful assistant. Respond to the user's input with a useful, accurate, and concise reply. If the input is a document or excerpt, treat it as the subject of the user's request and respond about it." }, { "media_urn": "media:model-spec;gguf;textable;llm;tokenizer-embedded-gguf", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--model-spec" } ], "arg_description": "GGUF model specification (HuggingFace repo or local path)", "default_value": "hf:unsloth/Qwen3-4B-Instruct-2507-GGUF?include=Qwen3-4B-Instruct-2507-Q4_K_M.gguf" }, { "media_urn": "media:max-tokens;textable;numeric", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--max-tokens" } ], "arg_description": "Maximum number of tokens to generate", "default_value": 512 }, { "media_urn": "media:temperature;textable;numeric", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--temperature" } ], "arg_description": "Sampling temperature (0.0-2.0)", "default_value": 0.7 }, { "media_urn": "media:top-k;textable;numeric", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--top-k" } ], "arg_description": "Top-k sampling parameter", "default_value": 40 }, { "media_urn": "media:top-p;textable;numeric", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--top-p" } ], "arg_description": "Top-p (nucleus) sampling parameter", "default_value": 0.9 }, { "media_urn": "media:min-p;textable;numeric", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--min-p" } ], "arg_description": "Min-p sampling parameter", "default_value": 0.05 }, { "media_urn": "media:seed;textable;numeric", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--seed" } ], "arg_description": "Random seed for reproducibility", "default_value": 42 }, { "media_urn": "media:max-context-length;textable;numeric", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--max-context-length" } ], "arg_description": "Maximum context length", "default_value": 4096 }, { "media_urn": "media:batch-size;textable;numeric", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--batch-size" } ], "arg_description": "Batch size for processing", "default_value": 2048 }, { "media_urn": "media:hf-token;secret;textable", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--hf-token" } ], "arg_description": "HuggingFace bearer token. Required when targeting a gated repository." } ] }, { "urn": "cap:generate-embeddings;gguf;in=media:textable;ml-model;out=\"media:embedding-vector;record;textable\"", "title": "Generate Embeddings", "command": "embeddings", "cap_description": "Generate text embeddings using GGUF embedding models.", "args": [ { "media_urn": "media:model-spec;gguf;textable;embeddings;tokenizer-embedded-gguf", "required": true, "is_sequence": false, "sources": [ { "cli_flag": "--model-spec" } ], "arg_description": "GGUF model specification (HuggingFace repo or local path)", "default_value": "hf:ggml-org/embeddinggemma-300M-qat-q4_0-GGUF?include=embeddinggemma-300M-qat-Q4_0.gguf" }, { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:textable" }, { "position": 0 } ], "arg_description": "Path to text file to generate embeddings from" }, { "media_urn": "media:chunk-size;textable;numeric", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--chunk-size" } ], "arg_description": "Chunk size in words for splitting input text", "default_value": 400 }, { "media_urn": "media:chunk-overlap;textable;numeric", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--chunk-overlap" } ], "arg_description": "Chunk overlap in words when splitting input text", "default_value": 50 }, { "media_urn": "media:batch-size;textable;numeric", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--batch-size" } ], "arg_description": "Token batch size for model inference (must accommodate tokenized chunk)", "default_value": 2048 }, { "media_urn": "media:hf-token;secret;textable", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--hf-token" } ], "arg_description": "HuggingFace bearer token. Required when targeting a gated repository." } ] }, { "urn": "cap:embeddings-dimensions;gguf;in=\"media:embeddings;gguf;model-spec;textable;tokenizer-embedded-gguf\";ml-model;out=\"media:integer;model-dim;numeric;textable\"", "title": "Embedding Dimensions", "command": "dimensions", "cap_description": "Get embedding dimension for a GGUF embedding model.", "args": [ { "media_urn": "media:model-spec;gguf;textable;embeddings;tokenizer-embedded-gguf", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--model" }, { "stdin": "media:model-spec;gguf;textable;embeddings;tokenizer-embedded-gguf" } ], "arg_description": "Model spec (HuggingFace repo or local path)", "default_value": "hf:ggml-org/embeddinggemma-300M-qat-q4_0-GGUF?include=embeddinggemma-300M-qat-Q4_0.gguf" }, { "media_urn": "media:hf-token;secret;textable", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--hf-token" } ], "arg_description": "HuggingFace bearer token. Required when targeting a gated repository." } ] }, { "urn": "cap:describe-image;gguf;in=\"media:image;png\";ml-model;out=\"media:image-description;plain-text;textable;txt\";vision", "title": "Describe Image", "command": "describe_image", "cap_description": "Generate detailed image descriptions using GGUF multimodal models (LLaVA, BakLLaVA).", "args": [ { "media_urn": "media:model-spec;gguf;textable;vision;tokenizer-embedded-gguf", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--model-spec" } ], "arg_description": "GGUF vision model specification (HuggingFace repo or local path)", "default_value": "hf:ggml-org/gemma-3-4b-it-GGUF?include=gemma-3-4b-it-Q4_K_M.gguf,mmproj-model-f16.gguf" }, { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:image;png" }, { "position": 0 } ], "arg_description": "Path to the image file to analyze" }, { "media_urn": "media:textable", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--prompt" } ], "arg_description": "Text prompt for the image analysis", "default_value": "Describe this image in detail." }, { "media_urn": "media:max-tokens;textable;numeric", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--max-tokens" } ], "arg_description": "Maximum number of tokens to generate", "default_value": 256 }, { "media_urn": "media:temperature;textable;numeric", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--temperature" } ], "arg_description": "Sampling temperature (0.0-2.0)", "default_value": 0.6 }, { "media_urn": "media:hf-token;secret;textable", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--hf-token" } ], "arg_description": "HuggingFace bearer token. Required when targeting a gated repository." } ] }, { "urn": "cap:gguf;in=\"media:image;png\";ml-model;ocr;out=\"media:extracted-text;plain-text;textable;txt\";read-text", "title": "OCR (GGUF)", "command": "ocr", "cap_description": "Extract verbatim text from an image with a GGUF OCR vision model (default GLM-OCR).", "args": [ { "media_urn": "media:model-spec;gguf;ocr;textable;tokenizer-embedded-gguf", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--model-spec" } ], "arg_description": "GGUF OCR model specification (HuggingFace repo or local path)", "default_value": "hf:ggml-org/GLM-OCR-GGUF?include=GLM-OCR-Q8_0.gguf,mmproj-GLM-OCR-Q8_0.gguf" }, { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:image;png" }, { "position": 0 } ], "arg_description": "Path to the image file to transcribe" }, { "media_urn": "media:textable", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--prompt" } ], "arg_description": "Directive prompt for the OCR model (e.g. \"OCR\", \"OCR markdown\", \"OCR HTML table\")", "default_value": "OCR" }, { "media_urn": "media:max-tokens;textable;numeric", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--max-tokens" } ], "arg_description": "Maximum number of tokens to generate (OCR output is often long)", "default_value": 1024 }, { "media_urn": "media:temperature;textable;numeric", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--temperature" } ], "arg_description": "Sampling temperature (0.0-2.0). 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Respond to the user's input with a useful, accurate, and concise reply. 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Required when targeting a gated repository.", "required": false, "media_urn": "media:hf-token;secret;textable" } ], "command": "run_inference" }, { "command": "inference", "title": "LLM Text Generation (MLX)", "cap_description": "Generate text using MLX models on Apple Silicon. Output is NDJSON streaming tokens.", "urn": "cap:in=\"media:llm-generation-request;json;record\";llm;ml-model;mlx;llm-inference;out=\"media:llm-text-stream;ndjson\"", "args": [ { "arg_description": "The generation request containing prompt, model spec, and parameters", "required": true, "sources": [ { "stdin": "media:llm-generation-request;json;record" } ], "media_urn": "media:llm-generation-request;json;record", "is_sequence": false }, { "arg_description": "HuggingFace bearer token. Required when targeting a gated repository.", "required": false, "sources": [ { "cli_flag": "--hf-token" } ], "media_urn": "media:hf-token;secret;textable", "is_sequence": false } ] }, { "command": "describe_image", "title": "Describe Image (MLX)", "cap_description": "Generate detailed image descriptions using MLX-based vision-language models on Apple Silicon", "urn": "cap:in=\"media:image;png\";ml-model;mlx;describe-image;out=\"media:image-description;plain-text;textable;txt\";vision", "args": [ { "default_value": "hf:mlx-community/Qwen3-VL-4B-Instruct-4bit", "arg_description": "Path to MLX vision model directory", "required": false, "sources": [ { "cli_flag": "--model" } ], "media_urn": "media:model-spec;mlx;textable;vision", "is_sequence": false }, { "arg_description": "Path to the image file to describe (local path or HTTP(S) URL)", "required": true, "sources": [ { "stdin": "media:image;png" }, { "position": 0 } ], "media_urn": "media:file-path;textable", "is_sequence": false }, { "default_value": "Describe this image in detail.", "arg_description": "Text prompt for the image description", "required": false, "sources": [ { "cli_flag": "--prompt" } ], "media_urn": "media:textable", "is_sequence": false }, { "default_value": "You are a helpful assistant. Respond to the user's input with a useful, accurate, and concise reply. If the input is a document or excerpt, treat it as the subject of the user's request and respond about it.", "arg_description": "System prompt frame (applied via chat template when present)", "required": false, "sources": [ { "cli_flag": "--system-prompt" } ], "media_urn": "media:system-prompt;textable", "is_sequence": false }, { "default_value": 256, "arg_description": "Maximum number of tokens to generate", "required": false, "sources": [ { "cli_flag": "--max-tokens" } ], "media_urn": "media:max-tokens;textable;numeric", "is_sequence": false }, { "arg_description": "HuggingFace bearer token. Required when targeting a gated repository.", "required": false, "sources": [ { "cli_flag": "--hf-token" } ], "media_urn": "media:hf-token;secret;textable", "is_sequence": false } ] }, { "command": "generate_embeddings", "title": "Generate Vector Embeddings (MLX)", "cap_description": "Generate vector embeddings from text using MLX-based models on Apple Silicon", "urn": "cap:mlx;in=\"media:textable\";ml-model;generate-embeddings;out=\"media:embedding-vector;textable;record\"", "args": [ { "default_value": "hf:mlx-community/embeddinggemma-300m-4bit", "arg_description": "Path to MLX embedding model directory", "required": false, "sources": [ { "cli_flag": "--model" } ], "media_urn": "media:model-spec;mlx;textable;embeddings", "is_sequence": false }, { "arg_description": "Path to text file to generate embeddings from", "required": true, "sources": [ { "stdin": "media:textable" }, { "position": 0 } ], "media_urn": "media:file-path;textable", "is_sequence": false }, { "default_value": 400, "arg_description": "Chunk size in words for splitting input text", "required": false, "sources": [ { "cli_flag": "--chunk-size" } ], "media_urn": "media:chunk-size;textable;numeric", "is_sequence": false }, { "default_value": 50, "arg_description": "Chunk overlap in words when splitting input text", "required": false, "sources": [ { "cli_flag": "--chunk-overlap" } ], "media_urn": "media:chunk-overlap;textable;numeric", "is_sequence": false }, { "arg_description": "HuggingFace bearer token. Required when targeting a gated repository.", "required": false, "sources": [ { "cli_flag": "--hf-token" } ], "media_urn": "media:hf-token;secret;textable", "is_sequence": false } ] }, { "command": "get_embedding_dimensions", "title": "Get Embeddings Dimensions (MLX)", "cap_description": "Query the dimensionality of embeddings for a given MLX model", "urn": "cap:in=\"media:model-spec;mlx;textable;embeddings\";ml-model;mlx;embeddings-dimensions;out=\"media:model-dim;integer;textable;numeric\"", "args": [ { "default_value": "hf:mlx-community/embeddinggemma-300m-4bit", "arg_description": "Path to MLX embedding model directory", "required": false, "sources": [ { "position": 0 } ], "media_urn": "media:model-spec;mlx;textable;embeddings", "is_sequence": false }, { "arg_description": "HuggingFace bearer token. Required when targeting a gated repository.", "required": false, "sources": [ { "cli_flag": "--hf-token" } ], "media_urn": "media:hf-token;secret;textable", "is_sequence": false } ] } ] } ], "latestVersion": "0.164.905-nightly", "versions": { "0.158.862-nightly": { "releaseDate": "2026-05-17T23:01:23Z", "changelog": [ "Initial release" ], "minAppVersion": "1.0.0", "builds": [ { "platform": "darwin-arm64", "package": { "name": "mlxcartridge-0.158.862-nightly.pkg", "url": "https://cartridges.machinefabric.com/nightly/mlxcartridge/0.158.862-nightly/mlxcartridge-0.158.862-nightly.pkg", "sha256": "cd5a626c2a6c3ce40fa72fb14196a243409f041fe82929f91745cb3e22346df4", "size": 35686878 } } ] }, "0.160.876-nightly": { "releaseDate": "2026-05-20T02:08:27Z", "changelog": [], "minAppVersion": "1.0.0", "builds": [ { "platform": "darwin-arm64", "package": { "name": "mlxcartridge-0.160.876-nightly.pkg", "url": "https://cartridges.machinefabric.com/nightly/mlxcartridge/0.160.876-nightly/mlxcartridge-0.160.876-nightly.pkg", "sha256": "5dd363a298937a4b62531a71c196c60776f2c899ed9f4ef6ce0fea993268cb4e", "size": 35687168 } } ] }, "0.161.883-nightly": { "releaseDate": "2026-05-21T01:49:14Z", "changelog": [], "minAppVersion": "1.0.0", "builds": [ { "platform": "darwin-arm64", "package": { "name": "mlxcartridge-0.161.883-nightly.pkg", "url": "https://cartridges.machinefabric.com/nightly/mlxcartridge/0.161.883-nightly/mlxcartridge-0.161.883-nightly.pkg", "sha256": "3cc344bc2deb7e4fcda93b1958f471877d4e8061c33bc06602515096d3ec530c", "size": 35688443 } } ] }, "0.162.890-nightly": { "releaseDate": "2026-05-21T14:59:43Z", "changelog": [], "minAppVersion": "1.0.0", "builds": [ { "platform": "darwin-arm64", "package": { "name": "mlxcartridge-0.162.890-nightly.pkg", "url": "https://cartridges.machinefabric.com/nightly/mlxcartridge/0.162.890-nightly/mlxcartridge-0.162.890-nightly.pkg", "sha256": "d855ba0263c069614d0515797e5b1e5b1d134e88674be0b21ea30da817c96070", "size": 35688459 } } ] }, "0.163.897-nightly": { "releaseDate": "2026-05-29T15:50:53Z", "changelog": [], "minAppVersion": "1.0.0", "builds": [ { "platform": "darwin-arm64", "package": { "name": "mlxcartridge-0.163.897-nightly.pkg", "url": "https://cartridges.machinefabric.com/nightly/mlxcartridge/0.163.897-nightly/mlxcartridge-0.163.897-nightly.pkg", "sha256": "05755e27415aa9de13e5c35cb9cd6f99d4a8b366e0398b1811aedb3740646df7", "size": 35688474 } } ] }, "0.164.905-nightly": { "releaseDate": "2026-05-30T05:59:49Z", "changelog": [], "minAppVersion": "1.0.0", "builds": [ { "platform": "darwin-arm64", "package": { "name": "mlxcartridge-0.164.905-nightly.pkg", "url": "https://cartridges.machinefabric.com/nightly/mlxcartridge/0.164.905-nightly/mlxcartridge-0.164.905-nightly.pkg", "sha256": "4f82ca74ce81ffa25ccf822ce37646b2c1a5cbb2e0e67571962c3819d12a5dc4", "size": 17422215 } } ] } } }, "imagecartridge": { "name": "imagecartridge", "description": "Cross-format raster image conversion (PNG, JPEG, GIF, BMP, TIFF, WebP).", "author": "https://github.com/machinefabric", "pageUrl": "https://github.com/machinefabric/imagecartridge", "teamId": "P336JK947M", "minAppVersion": "1.0.0", "categories": [], "tags": [], "cap_groups": [ { "name": "image-formats", "caps": [ { "urn": "cap:effect=none", "title": "Identity", "command": "identity", "cap_description": "The categorical identity morphism. Echoes input as output unchanged. Mandatory in every capability set.", "args": [ { "media_urn": "media:", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:" } ] } ], "output": { "media_urn": "media:", "output_description": "The input data, unchanged", "is_sequence": false } }, { "urn": "cap:convert-image;in=\"media:image;jpeg\";out=\"media:image;png\"", "title": "Convert JPEG to PNG", "command": "convert-image", "cap_description": "Re-encode a JPEG image as a PNG.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:jpeg;image" }, { "position": 0 } ], "arg_description": "Path to the JPEG file to convert" } ] }, { "urn": "cap:convert-image;in=\"media:gif;image\";out=\"media:image;png\"", "title": "Convert GIF to PNG", "command": "convert-image", "cap_description": "Re-encode a GIF image as a PNG.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:gif;image" }, { "position": 0 } ], "arg_description": "Path to the GIF file to convert" } ] }, { "urn": "cap:convert-image;in=\"media:bmp;image\";out=\"media:image;png\"", "title": "Convert BMP to PNG", "command": "convert-image", "cap_description": "Re-encode a BMP image as a PNG.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:bmp;image" }, { "position": 0 } ], "arg_description": "Path to the BMP file to convert" } ] }, { "urn": "cap:convert-image;in=\"media:image;tiff\";out=\"media:image;png\"", "title": "Convert TIFF to PNG", "command": "convert-image", "cap_description": "Re-encode a TIFF image as a PNG.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:tiff;image" }, { "position": 0 } ], "arg_description": "Path to the TIFF file to convert" } ] }, { "urn": "cap:convert-image;in=\"media:image;webp\";out=\"media:image;png\"", "title": "Convert WebP to PNG", "command": "convert-image", "cap_description": "Re-encode a WebP image as a PNG.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:webp;image" }, { "position": 0 } ], "arg_description": "Path to the WebP file to convert" } ] }, { "urn": "cap:convert-image;in=\"media:image;png\";out=\"media:image;jpeg\"", "title": "Convert PNG to JPEG", "command": "convert-image", "cap_description": "Re-encode a PNG image as a JPEG.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:image;png" }, { "position": 0 } ], "arg_description": "Path to the PNG file to convert" } ] }, { "urn": "cap:convert-image;in=\"media:gif;image\";out=\"media:image;jpeg\"", "title": "Convert GIF to JPEG", "command": "convert-image", "cap_description": "Re-encode a GIF image as a JPEG.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:gif;image" }, { "position": 0 } ], "arg_description": "Path to the GIF file to convert" } ] }, { "urn": "cap:convert-image;in=\"media:bmp;image\";out=\"media:image;jpeg\"", "title": "Convert BMP to JPEG", "command": "convert-image", "cap_description": "Re-encode a BMP image as a JPEG.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:bmp;image" }, { "position": 0 } ], "arg_description": "Path to the BMP file to convert" } ] }, { "urn": "cap:convert-image;in=\"media:image;tiff\";out=\"media:image;jpeg\"", "title": "Convert TIFF to JPEG", "command": "convert-image", "cap_description": "Re-encode a TIFF image as a JPEG.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:tiff;image" }, { "position": 0 } ], "arg_description": "Path to the TIFF file to convert" } ] }, { "urn": "cap:convert-image;in=\"media:image;webp\";out=\"media:image;jpeg\"", "title": "Convert WebP to JPEG", "command": "convert-image", "cap_description": "Re-encode a WebP image as a JPEG.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:webp;image" }, { "position": 0 } ], "arg_description": "Path to the WebP file to convert" } ] }, { "urn": "cap:convert-image;in=\"media:image;png\";out=\"media:image;webp\"", "title": "Convert PNG to WebP", "command": "convert-image", "cap_description": "Re-encode a PNG image as a WebP.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:image;png" }, { "position": 0 } ], "arg_description": "Path to the PNG file to convert" } ] }, { "urn": "cap:convert-image;in=\"media:image;jpeg\";out=\"media:image;webp\"", "title": "Convert JPEG to WebP", "command": "convert-image", "cap_description": "Re-encode a JPEG image as a WebP.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:jpeg;image" }, { "position": 0 } ], "arg_description": "Path to the JPEG file to convert" } ] } ], "adapter_urns": [ "media:bmp;image", "media:gif;image", "media:image;png", "media:jpeg;image", "media:tiff;image", "media:webp;image" ] } ], "latestVersion": "0.10.41-nightly", "versions": { "0.9.37-nightly": { "releaseDate": "2026-05-17T23:02:13Z", "changelog": [ "Initial release" ], "minAppVersion": "1.0.0", "builds": [ { "platform": "darwin-arm64", "package": { "name": "imagecartridge-0.9.37-nightly.pkg", "url": "https://cartridges.machinefabric.com/nightly/imagecartridge/0.9.37-nightly/imagecartridge-0.9.37-nightly.pkg", "sha256": "9960604286943200ad72548233ad460b66b04afdea1d7c19e44e997d91f218c2", "size": 1622690 } } ] }, "0.10.41-nightly": { "releaseDate": 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Mandatory in every capability set.", "args": [ { "media_urn": "media:", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:" } ] } ], "output": { "media_urn": "media:", "output_description": "The input data, unchanged", "is_sequence": false } }, { "urn": "cap:convert-audio;in=\"media:audio;mp3\";out=\"media:audio;wav\"", "title": "Convert MP3 to WAV", "command": "convert-audio", "cap_description": "Decode MP3 and re-encode as WAV.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:mp3;audio" }, { "position": 0 } ], "arg_description": "Path to the MP3 file to convert" } ] }, { "urn": "cap:convert-audio;in=\"media:audio;flac\";out=\"media:audio;wav\"", "title": "Convert FLAC to WAV", "command": "convert-audio", "cap_description": "Decode FLAC and re-encode as WAV.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:flac;audio" }, { "position": 0 } ], "arg_description": "Path to the FLAC file to convert" } ] }, { "urn": "cap:convert-audio;in=\"media:audio;ogg\";out=\"media:audio;wav\"", "title": "Convert OGG (Vorbis) to WAV", "command": "convert-audio", "cap_description": "Decode OGG (Vorbis) and re-encode as WAV.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:ogg;audio" }, { "position": 0 } ], "arg_description": "Path to the OGG (Vorbis) file to convert" } ] }, { "urn": "cap:convert-audio;in=\"media:aac;audio\";out=\"media:audio;wav\"", "title": "Convert AAC to WAV", "command": "convert-audio", "cap_description": "Decode AAC and re-encode as WAV.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:aac;audio" }, { "position": 0 } ], "arg_description": "Path to the AAC file to convert" } ] }, { "urn": "cap:convert-audio;in=\"media:audio;m4a\";out=\"media:audio;wav\"", "title": "Convert M4A to WAV", "command": "convert-audio", "cap_description": "Decode M4A and re-encode as WAV.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:m4a;audio" }, { "position": 0 } ], "arg_description": "Path to the M4A file to convert" } ] }, { "urn": "cap:convert-audio;in=\"media:aiff;audio\";out=\"media:audio;wav\"", "title": "Convert AIFF to WAV", "command": "convert-audio", "cap_description": "Decode AIFF and re-encode as WAV.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:aiff;audio" }, { "position": 0 } ], "arg_description": "Path to the AIFF file to convert" } ] }, { "urn": "cap:convert-audio;in=\"media:audio;opus\";out=\"media:audio;wav\"", "title": "Convert Opus to WAV", "command": "convert-audio", "cap_description": "Decode Opus and re-encode as WAV.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:opus;audio" }, { "position": 0 } ], "arg_description": "Path to the Opus file to convert" } ] }, { "urn": "cap:convert-audio;in=\"media:audio;wav\";out=\"media:audio;flac\"", "title": "Convert WAV to FLAC", "command": "convert-audio", "cap_description": "Decode WAV and re-encode as FLAC.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:wav;audio" }, { "position": 0 } ], "arg_description": "Path to the WAV file to convert" } ] }, { "urn": "cap:convert-audio;in=\"media:audio;mp3\";out=\"media:audio;flac\"", "title": "Convert MP3 to FLAC", "command": "convert-audio", "cap_description": "Decode MP3 and re-encode as FLAC.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:mp3;audio" }, { "position": 0 } ], "arg_description": "Path to the MP3 file to convert" } ] }, { "urn": "cap:convert-audio;in=\"media:audio;ogg\";out=\"media:audio;flac\"", "title": "Convert OGG (Vorbis) to FLAC", "command": "convert-audio", "cap_description": "Decode OGG (Vorbis) and re-encode as FLAC.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:ogg;audio" }, { "position": 0 } ], "arg_description": "Path to the OGG (Vorbis) file to convert" } ] }, { "urn": "cap:convert-audio;in=\"media:audio;m4a\";out=\"media:audio;flac\"", "title": "Convert M4A to FLAC", "command": "convert-audio", "cap_description": "Decode M4A and re-encode as FLAC.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:m4a;audio" }, { "position": 0 } ], "arg_description": "Path to the M4A file to convert" } ] }, { "urn": "cap:convert-audio;in=\"media:aac;audio\";out=\"media:audio;flac\"", "title": "Convert AAC to FLAC", "command": "convert-audio", "cap_description": "Decode AAC and re-encode as FLAC.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:aac;audio" }, { "position": 0 } ], "arg_description": "Path to the AAC file to convert" } ] }, { "urn": "cap:convert-audio;in=\"media:aiff;audio\";out=\"media:audio;flac\"", "title": "Convert AIFF to FLAC", "command": "convert-audio", "cap_description": "Decode AIFF and re-encode as FLAC.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:aiff;audio" }, { "position": 0 } ], "arg_description": "Path to the AIFF file to convert" } ] }, { "urn": "cap:convert-audio;in=\"media:audio;opus\";out=\"media:audio;flac\"", "title": "Convert Opus to FLAC", "command": "convert-audio", "cap_description": "Decode Opus and re-encode as FLAC.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:opus;audio" }, { "position": 0 } ], "arg_description": "Path to the Opus file to convert" } ] } ], "adapter_urns": [ "media:aac;audio", "media:aiff;audio", "media:flac;audio", "media:m4a;audio", "media:mp3;audio", "media:ogg;audio", "media:opus;audio", "media:wav;audio" ] } ], "latestVersion": "0.13.59-nightly", "versions": { "0.12.55-nightly": { "releaseDate": "2026-05-17T23:03:04Z", "changelog": [ "Initial release" ], "minAppVersion": "1.0.0", "builds": [ { "platform": "darwin-arm64", "package": { "name": "audiocartridge-0.12.55-nightly.pkg", "url": "https://cartridges.machinefabric.com/nightly/audiocartridge/0.12.55-nightly/audiocartridge-0.12.55-nightly.pkg", "sha256": "6b0f369b1db2805665fc94d3c2376fb9bec5c70878b238af6bea43aec587c648", "size": 3428917 } } ] }, "0.13.59-nightly": { "releaseDate": "2026-05-29T15:52:42Z", "changelog": [], "minAppVersion": "1.0.0", "builds": [ { "platform": "darwin-arm64", "package": { "name": "audiocartridge-0.13.59-nightly.pkg", "url": "https://cartridges.machinefabric.com/nightly/audiocartridge/0.13.59-nightly/audiocartridge-0.13.59-nightly.pkg", "sha256": "9c34a52d3e6373637c5690a3b13273b0f919cef70ad911220d256e097330554c", "size": 3429891 } } ] } } }, "videocartridge": { "name": "videocartridge", "description": "Extract audio tracks (no re-encoding) and decode video frames from MP4, MOV, WebM and MKV containers.", "author": "https://github.com/machinefabric", "pageUrl": "https://github.com/machinefabric/videocartridge", "teamId": "P336JK947M", "minAppVersion": "1.0.0", "categories": [], "tags": [], "cap_groups": [ { "name": "video-formats", "caps": [ { "urn": "cap:effect=none", "title": "Identity", "command": "identity", "cap_description": "The categorical identity morphism. Echoes input as output unchanged. Mandatory in every capability set.", "args": [ { "media_urn": "media:", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:" } ] } ], "output": { "media_urn": "media:", "output_description": "The input data, unchanged", "is_sequence": false } }, { "urn": "cap:extract-audio-track;in=\"media:mp4;video\";out=\"media:audio;m4a\"", "title": "Extract audio track from MP4", "command": "extract-audio", "cap_description": "Demux the MP4 container's audio track and write it as a M4A file (no re-encoding).", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:mp4;video" }, { "position": 0 } ], "arg_description": "Path to the MP4 file" } ] }, { "urn": "cap:extract-audio-track;in=\"media:mov;video\";out=\"media:audio;m4a\"", "title": "Extract audio track from MOV", "command": "extract-audio", "cap_description": "Demux the MOV container's audio track and write it as a M4A file (no re-encoding).", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:mov;video" }, { "position": 0 } ], "arg_description": "Path to the MOV file" } ] }, { "urn": "cap:extract-audio-track;in=\"media:video;webm\";out=\"media:audio;opus\"", "title": "Extract audio track from WebM", "command": "extract-audio", "cap_description": "Demux the WebM container's audio track and write it as a Opus file (no re-encoding).", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:webm;video" }, { "position": 0 } ], "arg_description": "Path to the WebM file" } ] }, { "urn": "cap:extract-audio-track;in=\"media:mkv;video\";out=\"media:audio;opus\"", "title": "Extract audio track from MKV", "command": "extract-audio", "cap_description": "Demux the MKV container's audio track and write it as a Opus file (no re-encoding).", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:mkv;video" }, { "position": 0 } ], "arg_description": "Path to the MKV file" } ] }, { "urn": "cap:extract-frames;in=\"media:mp4;video\";out=\"media:image;png\"", "title": "Extract frames from MP4", "command": "extract-frames", "cap_description": "Decode the MP4 container's video track and emit its frames as a sequence of PNG images. With no --fps argument, every decoded frame is emitted; with --fps N, frames are decimated to approximately N per second using nearest-PTS selection.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:mp4;video" }, { "position": 0 } ], "arg_description": "Path to the MP4 file" }, { "media_urn": "media:fps;textable;numeric", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--fps" } ], "arg_description": "Target frames per second. Omit for every-frame output." } ] }, { "urn": "cap:extract-frames;in=\"media:mov;video\";out=\"media:image;png\"", "title": "Extract frames from MOV", "command": "extract-frames", "cap_description": "Decode the MOV container's video track and emit its frames as a sequence of PNG images. With no --fps argument, every decoded frame is emitted; with --fps N, frames are decimated to approximately N per second using nearest-PTS selection.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:mov;video" }, { "position": 0 } ], "arg_description": "Path to the MOV file" }, { "media_urn": "media:fps;textable;numeric", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--fps" } ], "arg_description": "Target frames per second. Omit for every-frame output." } ] }, { "urn": "cap:extract-frames;in=\"media:video;webm\";out=\"media:image;png\"", "title": "Extract frames from WebM", "command": "extract-frames", "cap_description": "Decode the WebM container's video track and emit its frames as a sequence of PNG images. With no --fps argument, every decoded frame is emitted; with --fps N, frames are decimated to approximately N per second using nearest-PTS selection.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:webm;video" }, { "position": 0 } ], "arg_description": "Path to the WebM file" }, { "media_urn": "media:fps;textable;numeric", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--fps" } ], "arg_description": "Target frames per second. Omit for every-frame output." } ] }, { "urn": "cap:extract-frames;in=\"media:mkv;video\";out=\"media:image;png\"", "title": "Extract frames from MKV", "command": "extract-frames", "cap_description": "Decode the MKV container's video track and emit its frames as a sequence of PNG images. With no --fps argument, every decoded frame is emitted; with --fps N, frames are decimated to approximately N per second using nearest-PTS selection.", "args": [ { "media_urn": "media:file-path;textable", "required": true, "is_sequence": false, "sources": [ { "stdin": "media:mkv;video" }, { "position": 0 } ], "arg_description": "Path to the MKV file" }, { "media_urn": "media:fps;textable;numeric", "required": false, "is_sequence": false, "sources": [ { "cli_flag": "--fps" } ], "arg_description": "Target frames per second. Omit for every-frame output." } ] } ], "adapter_urns": [ "media:mkv;video", "media:mov;video", "media:mp4;video", "media:webm;video" ] } ], "latestVersion": "0.10.57-nightly", "versions": { "0.9.53-nightly": { "releaseDate": "2026-05-17T23:03:56Z", "changelog": [ "Initial release" ], "minAppVersion": "1.0.0", "builds": [ { "platform": "darwin-arm64", "package": { "name": "videocartridge-0.9.53-nightly.pkg", "url": "https://cartridges.machinefabric.com/nightly/videocartridge/0.9.53-nightly/videocartridge-0.9.53-nightly.pkg", "sha256": "824ebb15c39824dd10cf0535837b49634adf492ab1033fb366d3c9743fb7a2b2", "size": 3857077 } } ] }, "0.10.57-nightly": { "releaseDate": "2026-05-29T15:53:35Z", "changelog": [], "minAppVersion": "1.0.0", "builds": [ { "platform": "darwin-arm64", "package": { "name": "videocartridge-0.10.57-nightly.pkg", "url": "https://cartridges.machinefabric.com/nightly/videocartridge/0.10.57-nightly/videocartridge-0.10.57-nightly.pkg", "sha256": "09310464058596e562d51f536a6283853b90642b69e90321c38528637cd322e7", "size": 3857525 } } ] } } } } } } }