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It is intended for developers, researchers and users experimenting with local inference, model serving and clusters whose combined memory can accommodate a model.\n\n## Inference and integrations\n- Discover devices on a local network and inspect the cluster in a dashboard.\n- Shard supported models according to device resources and topology.\n- Serve compatible OpenAI Chat\u002FResponses, Claude and Ollama API interfaces.\n- Download supported model cards or configure custom Hugging Face models.\n- Use local model storage, optional read-only model directories and an offline mode.\n- Configure a namespace to avoid accidentally joining another cluster.\n\nCompatibility varies by model, backend and API; an API-compatible endpoint does not imply every provider feature is implemented. Version 1.0.71 adds Kimi K2.6 multimodality, provider sampling defaults and fixes for M5 vision inference and RDMA output.\n\n## Installation and hardware\nDownload the official 1.0.71 DMG and copy the app to Applications, or use `brew install --cask exo`. The exact official DMG is 412,972,413 bytes, verified by HEAD. Model downloads, caches and logs consume additional disk space and may be many gigabytes.\n\nThe version-tagged 1.0.71 README explicitly requires macOS Tahoe 26.2 or later for the packaged Mac app. This takes precedence over the catalog's older macOS 15 condition. The catalog targets Apple Silicon; the project uses MLX\u002FMetal and documents Apple Silicon monitoring. The checked sources do not establish Intel support for this packaged build or a universal numeric minimum RAM. Required unified memory and storage depend on the chosen model, quantization and participating nodes; clustering is not a guarantee that an arbitrary model will fit.\n\nOrdinary clustering needs a reachable local network. Optional RDMA requires macOS 26.2 and Thunderbolt 5 hardware and additional system configuration; it is not available on every Apple Silicon Mac. Source builds separately require Xcode's Metal toolchain, uv, Node and Rust, with pinned macmon guidance for M5. These development tools are not described as prerequisites for installing the packaged app.\n\n## Permissions, network and privacy\nThe app asks to modify system settings and install a Network profile. Review these elevated changes before granting permission. Downloading models or updates needs internet access and some gated model repositories require a provider account or acceptance of their model terms. Offline mode uses already downloaded local models; local cluster networking remains necessary for multiple nodes.\n\nLocal inference avoids sending prompts to a remote inference provider, but clients, integrations and model downloads can still make network requests. Treat the API and cluster as services on a trusted network, protect prompts and model files, and do not expose endpoints to an untrusted network without independently configured access controls. A custom namespace prevents accidental cluster joining; it is not evidence of authentication or encryption. Remote model code is disabled by default; enable `trust_remote_code` only for code you have reviewed and trust.\n\n## License and maintenance\nEXO is Apache-2.0 open-source software. Model weights and integrations retain their own licenses, acceptable-use terms and possible charges. There is no required EXO cloud subscription described for local inference. Performance, output accuracy and stability depend on the model and hardware; verify important answers and monitor memory pressure, heat and storage.\n\nUse the app's Advanced → Uninstall command to remove its system components. Simply deleting the app can leave the network setup LaunchDaemon, scripts, logs or network location behind; the official README documents cleanup and notes that Login Items may require manual removal.\n\nSources: [Version 1.0.71 README and requirements](https:\u002F\u002Fgithub.com\u002Fexo-explore\u002Fexo\u002Fblob\u002Fv1.0.71\u002FREADME.md), [Exact release notes](https:\u002F\u002Fgithub.com\u002Fexo-explore\u002Fexo\u002Freleases\u002Ftag\u002Fv1.0.71), [Official download](https:\u002F\u002Fassets.exolabs.net\u002FEXO-1.0.71.dmg), [Project](https:\u002F\u002Fexolabs.net\u002F).","Run AI models locally across multiple devices","EXO Labs","EXO","bc81a23ec647a995c5f8237857e749bc3de7ba8ec40f2aab39886c1a04beaac7",412972413,"https:\u002F\u002Fassets.exolabs.net\u002FEXO-1.0.71.dmg","https:\u002F\u002Fformulae.brew.sh\u002Fcask\u002Fexo","https:\u002F\u002Fexolabs.net\u002F","https:\u002F\u002Fcdn.opennavo.com\u002Ficons\u002Fuploads\u002F64c002ff065e\u002F6112dd44ccff-256.png","brew install --cask exo",{"d30":82,"d365":83,"d90":84},227,1509,921,"cask",{"bodyMarkdown":87,"hasNotes":45,"id":88,"isLatest":45,"isPrerelease":49,"machineTranslated":49,"publishedAt":89,"sections":90,"source":109,"sourceLocale":110,"summary":111,"title":112,"translation":113,"version":115},"## EXO 1.0.71\n\n### Models\n- Adds Kimi K2.6 multimodality and new Qwen3.6\u002FGLM5.1\u002FKimi model cards.\n\n### Inference\n- Adds provider-recommended sampling defaults including min_p and top_k.\n- Prevents JACCL all_sum output corruption.\n- Fixes M5 vision addmm\u002FNAX and Qwen3.6 prefix caching.\n- Fixes DeepSeekV32 parsing and Gemma 4 effective tensor parallelism.\n\n### Integration\n- Adds a Pi integration tab.\n- Handles multiple Claude and Responses API tool calls correctly.\n- Keeps completed download status and avoids image-cache event crashes.\n- Adds a friendly context message for bug reporting.\n\nSource: [Official 1.0.71 release notes](https:\u002F\u002Fgithub.com\u002Fexo-explore\u002Fexo\u002Freleases\u002Ftag\u002Fv1.0.71).",767,"2026-10-07T09:38:28.442235Z",[91,95,102],{"area":92,"items":93},"Models",[94],"Adds Kimi K2.6 multimodality and new Qwen3.6\u002FGLM5.1\u002FKimi model cards.",{"area":96,"items":97},"Inference",[98,99,100,101],"Adds provider-recommended sampling defaults including min_p and top_k.","Prevents JACCL all_sum output corruption.","Fixes M5 vision addmm\u002FNAX and Qwen3.6 prefix caching.","Fixes DeepSeekV32 parsing and Gemma 4 effective tensor parallelism.",{"area":103,"items":104},"Integration",[105,106,107,108],"Adds a Pi integration tab.","Handles multiple Claude and Responses API tool calls correctly.","Keeps completed download status and avoids image-cache event crashes.","Adds a friendly context message for bug reporting.","editorial","en-US","Adds Kimi K2.6, better sampling defaults and fixes for M5 and RDMA inference.","EXO 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macOS application on a MacBook, from the official repository README.",1889,"light","https:\u002F\u002Fcdn.opennavo.com\u002Fscreenshots\u002Fuploads\u002Fscreenshot\u002Fcdd369a11c00\u002Fab422eb8683e-640.png","https:\u002F\u002Fcdn.opennavo.com\u002Fscreenshots\u002Fuploads\u002Fscreenshot\u002Fcdd369a11c00\u002Fab422eb8683e-1280.png",1280,{"caption":243,"height":237,"machineTranslated":49,"sourceLocale":110,"theme":244,"thumbUrl":239,"url":240,"width":241},"Official EXO 1.0.71 README image showing the macOS app running on one MacBook.","dark","https:\u002F\u002Fgithub.com\u002Fhomebrew\u002Fhomebrew-cask\u002Fblob\u002FHEAD\u002FCasks\u002Fe\u002Fexo.rb","An open-source local AI inference system that discovers nearby devices and distributes supported models across a Mac cluster.",{"locale":110,"machineTranslated":49,"sourceLocale":110,"status":114},{"arm64":45,"requiresRosetta":49,"status":249,"x86_64":49},"known",[251,252,253,254],"AI","Local AI","Developer Tools","AI 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