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description=极术（JishuShell）是本地 AI 应用基础设施，帮助你在树莓派、RK3588、Jetson、Mac Mini 等 Arm 设备上一键部署独立 OpenClaw 应用，无需云服务，低功耗全天候运行。;
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玩龙虾 上极术 jishushell aijishu com core features supported devices partners partnership docs changelog former jishu community revamping group 中文 一键部署 独立龙虾 one touch openclaw install 快速在arm设备上运行 多个独立openclaw应用 run multiple independent openclaw apps on your arm device get started view supported devices on your arm device terminal curl fssl https aijishu com install sh bash core features ai application infrastructure built for arm devices one click deploy no manual environment setup jishu handles everything get running in minutes capability integration scan to connect wechat feishu quickly use various skills mcp and rich tools security sandbox container based isolation for claw apps and system environment independent api key management selective data authorization multi instance run multiple claw instances in parallel on a single device fully utilizing hardware capabilities unified management centrally manage versions configs and status of all ai apps from a single interface why not pc or cloud only standalone arm devices running lobster deliver the best experience vs pc independence pcs serve multiple purposes work and life data interfere with each other environment complex windows desktop limits lobster capabilities must stay awake power 5w vs 100w raspberry pi 5 70 pc costs hundreds significant difference for 24 7 operation vs cloud server security all data uploaded to cloud leak and abuse risks design contradicts standalone ai principle of local data local execution not private deployment experience higher network latency ips flagged as server not personal web access restricted future local inference embodied ai as local computing power improves data interaction and agent execution can be powered by local gpu npu enabling fully offline operation and ensuring data privacy connect cameras wheels limbs and sensors to turn your arm device into a truly perceptive actionable embodied ai terminal supported hardware hardware baseline raspberry pi 4 4 core arm cortex a72 or above 4gb ram 16gb storage os ubuntu 22 04 debian 12 macos 26 raspberry pi 5 4 bcm2712 bcm2711 4 cortex a76 a72 4 8gb affordable mature ecosystem ideal for running standalone ai apps minimum cortex a76 a72 quad core or above 4gb ram nvidia jetson orin thor cortex a78ae neoverse v3ae 4 128gb native nvidia gpu integration supports local model inference at varying scales ref jetson orin nano jetson agx orin jetson thor t4000 t5000 mac mini studio apple silicon m1 m5 unified memory 8 192gb apple unified memory architecture peak local inference top choice for multi instance on a single device rockchip rk3588 rk3576 4 cortex a76 a72 4 cortex a55 up to 32gb cost effective domestic edge chip 6 tops npu octa core big little architecture ref board firefly ec i3588j forlinx fet3588 c myir myd lr3576 cix p1 8 cortex a720 4 cortex a520 up to 64gb domestic high performance arm soc armv9 2 cores with 30 tops zhouyi npu ref board radxa orion o6 huixi guangzhi r1 24 cortex a78ae 32 128gb domestic automotive grade high performance ai chip 500 tops rhino npu mediatek genio720 2 cortex a78 6 cortex a55 up to 16gb leading aiot chip 6nm process 10 tops npu antutu score up to 800k ref board zelustek g720 development board more arm devices more arm socs under evaluation other chips and devices are welcome to try stay tuned for announcements coming soon early partners welcome to join and co build the ecosystem business bd aijishu com scan to join the community join our community group for the latest product updates 微信扫码 aijishu com 2026 jishu community all rights reserved 粤icp备18004469号 粤公网安备 44030502008014号