[{"data":1,"prerenderedAt":767},["ShallowReactive",2],{"project-47624645":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":10,"maker":11,"posted_at":12,"year":13,"points":14,"comments":15,"rank_in_year":16,"shown_in_year":17,"top":18,"tier":19,"category":20,"subcategory":21,"format":22,"keywords":23,"reception":28,"sentiment":29,"stance_mix":30,"scored_comments":34,"aspects":35,"strip":46,"post_text":48,"what":49,"said":95,"maker_in_thread":232,"shape":241,"grid":244,"attempts":728,"same_week":729,"maker_shows":16,"maker_hidden":759,"reader_version":760,"card":761},"47624645","Apfel","The free AI already on your Mac","title","Show HN: Apfel – The free AI already on your Mac","https:\u002F\u002Fapfel.franzai.com","apfel.franzai.com","franze",1775207734,2026,743,157,20,4366,1,"legend","ai","local llm cli","cli",[24,25,26,27],"apple foundation models","on-device llm","local ai mac","apple intelligence cli","mixed",-0.035,{"positive":31,"neutral":32,"mixed":33,"critical":16},15,39,5,79,{"privacy":36,"performance":37,"docs":40,"execution":43,"idea":44,"design":45},{"positive":18,"critical":18},{"positive":38,"critical":39},4,7,{"positive":41,"critical":42},0,2,{"positive":18,"critical":33},{"positive":33,"critical":41},{"positive":18,"critical":38},[33,47,41,41,41,47,18,41,47,33,18,47,47,18,33,41,18,33,47,33,33,18,18,47,47,42,47,47,38,47,47,47,47,47,33,47,18,18,18,47],3,null,{"problem":50,"audience":62,"pricing":76,"motivation":48,"time_to_build":48,"stack":84,"openness":92,"stage":93,"team_size":94},{"value":51,"source":52,"evidence":53},"Lets users run Apple's built-in on-device language model from the command line or a local REST endpoint","inferred",[54,58],{"id":55,"by":56,"text":57},"47627262","frontsideair","> Apple locked it behind Siri. apfel sets it free This doesn't feel truthful, it sounds like this tool is a hack that unlocks something. If I understand it correctly, it's using…",{"id":59,"by":60,"text":61},"47626791","EddieLomax","This is similar to something I was playing around with last month-- basically just a CLI for accessing the foundational models. https:\u002F\u002Fgithub.com\u002Fehamiter\u002Fafm It's really handy…",{"value":63,"source":52,"evidence":64},"Mac users on macOS 26 Tahoe with Apple Silicon who want a free local LLM",[65,68,72],{"id":66,"by":11,"text":67},"47626817","4mb download, after install about 15mb, model is already on your mac with mac os x tahoe",{"id":69,"by":70,"text":71},"47626455","als0","Is this for Tahoe only? I’m still clutching onto Sequoia",{"id":73,"by":74,"text":75},"47626675","sys_64738","Tahoe+ only",{"value":77,"source":78,"evidence":79},"Free","commenter",[80],{"id":81,"by":82,"text":83},"47626456","kangraemin","4,096 token context window is pretty limiting. That's roughly 3,000 words — fine for \"summarize this paragraph\" but not enough for anything that needs real context. Still, zero…",[85],{"value":86,"source":87,"evidence":88},"Apple FoundationModels framework","maker",[89],{"id":90,"by":11,"text":91},"47626325","no. the on device foundationmodels framework that apfel uses does not have access to personal information from the apple account. the model is a bare language model with no built…","open_source","launched","unknown",{"praise":96,"objections":113,"requests":159,"questions":179,"alternatives":207},[97,109],{"value":98,"source":78,"evidence":99},"Free, fully local, and fast to load for quick tasks",[100,101,105],{"id":81,"by":82,"text":83},{"id":102,"by":103,"text":104},"47626388","api","BoltAI also does this, but a CLI tool is nice. It’s a nice LLM because it seems fairly decent and it loads instantly and uses the CPU neural engine. The GPU is faster but when I…",{"id":106,"by":107,"text":108},"47626665","Multiplayer","Started using this earlier this week. I built a backtesting benchmark tool to compare a mix of frontier and open-source models on a fairly heavy data analysis workflow I’d been…",{"value":110,"source":78,"evidence":111},"Good result on a custom backtesting task",[112],{"id":106,"by":107,"text":108},[114,122,133,140,151],{"value":115,"source":78,"evidence":116},"Small 4k token context window limits real use",[117,118,121],{"id":81,"by":82,"text":83},{"id":119,"by":11,"text":120},"47625148","the 2 hard limits of Appel Intelligence Foundation Model and therefor apfel is the 4k token context window and the super hard guardrails (the model prefers to tell you nothing…",{"id":59,"by":60,"text":61},{"value":123,"source":78,"evidence":124},"Inconsistent and incorrect answers, including math and time zones",[125,129],{"id":126,"by":127,"text":128},"47631327","newman314","Saw this in an another thread previously and immediately installed it. I have a new prompt to test LLMs much like simonw's pelican test. \"What is 9:30am Taiwan time in US,…",{"id":130,"by":131,"text":132},"47629098","contingencies","1. Hugely non-deterministic: repeat queries give vastly different responses. 2. Often returns incorrect and inconsistent results even for mathematical queries. 3. Often the…",{"value":134,"source":78,"evidence":135},"Hallucinates answers about unknown people and companies",[136],{"id":137,"by":138,"text":139},"47631814","zopf","Wow - the model really hallucinates without hesitation. I asked a number of \"What do you know about [person, company, etc]?\" questions and rather than realizing that it didn't…",{"value":141,"source":78,"evidence":142},"Landing page feels overly marketing-heavy",[143,147],{"id":144,"by":145,"text":146},"47627387","furyofantares","Looks like a nice wrapper around the APIs. Extremely oversold landing page, very marketing heavy for what it is. You can actually make nice looking landing pages that are about…",{"id":148,"by":149,"text":150},"47630739","andy_xor_andrew","I find the branding to be a little odd. Like, it should be a github page with a README that says \"here's how to use this.\" Like, the full explanation of this project is right…",{"value":152,"source":78,"evidence":153},"Requires Tahoe macOS 26 and Apple Intelligence enabled",[154,158],{"id":155,"by":156,"text":157},"47626531","walthamstow","You have to enable Apple Intelligence so that's a hard no from me. I'll stick to LM Studio and gpt-oss\u002Fqwen. Very cool project though.",{"id":73,"by":74,"text":75},[160,167,171],{"value":161,"source":78,"evidence":162},"MCP tool calling support",[163],{"id":164,"by":165,"text":166},"47636539","Xentyon","Interesting approach. I've been building MCP tools for AI agents recently and the local-first model makes a lot of sense for privacy-sensitive use cases. Does Apfel support MCP…",{"value":168,"source":78,"evidence":169},"Streaming output support",[170],{"id":81,"by":82,"text":83},{"value":172,"source":78,"evidence":173},"Support for older macOS versions",[174,178],{"id":175,"by":176,"text":177},"47625226","elcritch","Any know if these only installed on Tahoe? I'm running Sequoia still and get an error about model not found.",{"id":69,"by":70,"text":71},[180,191,196],{"value":181,"source":78,"evidence":182},"Is it safe from other local apps and webpages hitting the local port via CORS",[183,187],{"id":184,"by":185,"text":186},"47625563","brians","I’ve seen several projects like this that offer a network server with access to these Apple models. The danger is when they expose that, even on a loop port, to every other…",{"id":188,"by":189,"text":190},"47626209","nose-wuzzy-pad","Does the local LLM have access to personal information from the Apple account associated with the logged-in user? Maybe through a RAG pipeline or similar? Just curious if there…",{"value":192,"source":78,"evidence":193},"Does it run on the Neural Engine or GPU",[194,195],{"id":55,"by":56,"text":57},{"id":102,"by":103,"text":104},{"value":197,"source":78,"evidence":198},"How does it compare with other local models like Qwen in LM Studio",[199,203],{"id":200,"by":201,"text":202},"47627252","satvikpendem","How does this model compare against other local models like Qwen run through LMStudio?",{"id":204,"by":205,"text":206},"47628859","witnessme","Interesting. How does this foundational model compares with other LLMs?",[208,212,216,222],{"value":209,"source":78,"evidence":210},"LM Studio with gpt-oss or Qwen",[211],{"id":155,"by":156,"text":157},{"value":213,"source":78,"evidence":214},"BoltAI",[215],{"id":102,"by":103,"text":104},{"value":217,"source":78,"evidence":218},"Handy for local voice input",[219],{"id":220,"by":131,"text":221},"47628660","On a similar bent, I recently discovered Handy (cross-platform) which is very well implemented local voice input: https:\u002F\u002Fhandy.computer\u002F ... serious finger saver and ideal for…",{"value":223,"source":78,"evidence":224},"aiME on iOS and Android",[225,229],{"id":226,"by":227,"text":228},"47741155","aimemobe","Love seeing this space grow. Been running local AI on my phone via aiME — same concept but iOS\u002FAndroid, with offline voice, vision, and custom personas. Subscriptions felt like a…",{"id":230,"by":227,"text":231},"47666559","Nice project. The mobile equivalent worth mentioning: aiME does this on iPhone and Android — runs Qwen, Mistral, Gemma entirely on-device with no internet after download.…",{"comments":39,"answered":38,"key":233},[234,237,240],{"id":235,"text":236},"47626101","thx for the report - a totally valid attack vector i was not aware of before, should be fixed https:\u002F\u002Fgithub.com\u002FArthur-Ficial\u002Fapfel\u002Freleases\u002Ftag\u002Fv0.6.23 - see also new…",{"id":238,"text":239},"47629976","Thx. Good point. Done.",{"id":90,"text":91},{"commenters":242,"max_depth":33,"maker_replies":39,"first_comment_mins":41,"lifespan_hours":243},125,223,[245,249,253,257,260,262,265,269,272,275,278,280,283,285,288,291,294,297,300,303,306,310,313,316,319,321,324,326,329,332,335,338,341,343,347,350,354,357,360,363,365,369,372,373,376,378,382,386,389,394,397,402,405,408,411,414,416,420,423,426,428,431,433,435,438,442,445,448,453,458,460,464,466,469,473,476,478,483,486,490,494,497,500,505,507,508,510,512,514,518,521,524,527,529,532,534,537,541,544,546,548,552,554,558,562,563,565,569,573,575,579,581,584,586,590,593,597,600,603,606,608,612,616,617,621,625,627,630,633,636,640,644,648,650,653,656,659,661,666,670,674,676,678,682,684,686,690,692,694,696,699,703,707,710,714,717,721,725],[246,41,33,247,248,41],"47625979","project\u002Fpositive\u002Fprivacy","convexly",[250,41,41,251,252,41],"47626154","commenter\u002Fneutral\u002Fprivacy","aswanson",[254,41,41,255,256,41],"47626288","commenter\u002Fneutral\u002Fnone","lukewarm707",[258,41,41,251,259,41],"47626534","zahlman",[261,41,41,251,256,41],"47626219",[263,41,41,255,264,41],"47626525","inetknght",[266,41,47,267,268,41],"47626611","project\u002Fneutral\u002Fnone","mark_l_watson",[270,41,41,271,268,41],"47626601","other\u002Fneutral\u002Fprivacy",[273,41,41,271,274,41],"47627105","djl0",[276,41,41,271,277,41],"47631505","sebastiennight",[226,41,41,279,227,41],"other\u002Fneutral\u002Fnone",[281,41,41,271,282,41],"47626871","ge96",[284,41,41,271,256,41],"47627047",[286,41,41,271,287,41],"47627048","cousin_it",[289,41,41,251,290,41],"47628695","wrxd",[292,41,41,251,293,41],"47628757","procaryote",[295,41,41,251,296,41],"47629223","kg",[298,41,41,271,299,41],"47646460","KetoManx64",[301,41,41,271,302,41],"47659865","wolvoleo",[304,41,41,279,305,41],"47673298","theshrike79",[307,41,47,308,309,41],"47627892","project\u002Fneutral\u002Fprivacy","hombre_fatal",[311,41,41,271,312,41],"47629778","Xenoamorphous",[314,41,41,279,315,41],"47635120","nozzlegear",[317,41,41,279,318,41],"47643120","crimsontech",[184,18,18,320,185,41],"project\u002Fcritical\u002Fprivacy",[322,18,41,251,323,41],"47625588","stingraycharles",[325,18,41,251,185,41],"47625595",[327,18,41,251,328,41],"47625615","mememememememo",[330,18,41,251,331,41],"47625774","airza",[333,18,41,251,334,41],"47625989","btown",[336,18,41,251,337,41],"47626003","layer8",[339,18,47,340,185,41],"47625593","project\u002Fmixed\u002Fprivacy",[235,18,41,342,11,18],"maker\u002Fneutral\u002Fprivacy",[344,18,41,345,346,41],"47625920","other\u002Fcritical\u002Fprivacy","robotswantdata",[348,18,47,308,349,41],"47626321","snarkyturtle",[351,42,33,352,353,41],"47626200","project\u002Fpositive\u002Fnone","gherkinnn",[355,42,41,279,356,41],"47626406","naravara",[358,42,41,279,359,41],"47628262","g-mork",[361,42,41,279,362,41],"47632368","acuozzo",[364,42,41,255,356,41],"47718239",[366,47,18,367,368,41],"47628820","project\u002Fcritical\u002Fperformance","karimf",[370,47,47,267,371,41],"47630178","dangus",[126,38,18,367,127,41],[374,38,18,367,375,41],"47651672","gibsonsmog",[106,33,33,377,107,41],"project\u002Fpositive\u002Fperformance",[379,33,47,380,381,41],"47678215","project\u002Fneutral\u002Fperformance","tarwich",[383,384,47,267,385,41],"47626409",6,"pbronez",[387,39,41,279,388,41],"47628342","ronb1964",[390,391,41,392,393,41],"47627664",8,"other\u002Fneutral\u002Fidea","lewisjoe",[395,391,41,392,396,41],"47629080","malshe",[398,399,47,400,401,41],"47625212",9,"project\u002Fmixed\u002Fperformance","khalic",[55,403,18,404,56,41],10,"project\u002Fcritical\u002Fdocs",[406,403,41,255,407,41],"47627489","reaperducer",[409,403,41,255,410,41],"47628828","malcolmgreaves",[412,403,41,255,413,41],"47630806","halJordan",[415,403,33,377,56,41],"47653132",[417,418,33,377,419,41],"47625362",11,"gigatexal",[421,418,33,377,422,41],"47625419","thenthenthen",[424,418,41,279,425,41],"47625660","bombcar",[427,418,41,279,419,41],"47628603",[429,418,41,279,430,41],"47628905","xp84",[432,418,41,279,419,41],"47629522",[434,418,41,279,425,41],"47630567",[436,418,41,279,437,41],"47674228","j13k",[439,418,18,440,441,41],"47625980","project\u002Fcritical\u002Fnone","FinnKuhn",[443,418,41,255,444,41],"47629618","trollbridge",[446,418,18,447,441,41],"47632953","project\u002Fcritical\u002Fexecution",[449,450,33,451,452,41],"47628024",12,"project\u002Fpositive\u002Fexecution","gurjeet",[454,455,47,456,457,41],"47626587",13,"project\u002Fneutral\u002Fdocs","Phemist",[238,455,41,459,11,18],"maker\u002Fpositive\u002Fdocs",[461,462,41,279,463,41],"47626058",14,"arendtio",[465,462,41,279,353,41],"47626151",[467,31,47,380,468,41],"47626546","btucker",[470,31,47,471,472,41],"47626996","project\u002Fneutral\u002Fidea","troyvit",[474,31,47,471,475,41],"47630426","jasomill",[59,477,47,380,60,41],16,[479,480,33,481,482,41],"47626568",17,"project\u002Fpositive\u002Fidea","donmb",[484,480,41,255,485,41],"47626846","enjoyitasus",[487,488,41,279,489,41],"47626379",18,"Barbing",[491,492,41,392,493,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