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28 Self-Hosted Projects on Github: kanzo, traccar, suna, dossier, doska, mitra, magic, freetvarr Today, we’re checking out 28 self-hosted projects you can run on your own hardware. Paid channel subscription: youtube.com Text version link: githubawesome.com 00:00 - Introduction 00:10 - kanzo emanuele-em/kanzo 00:37 - traccar traccar/traccar 01:05 - suna kortix-ai/suna 01:31 - dossier AienTech/dossier 01:57 - doska romenkova/doska 02:22 - mitra a11delavar/mitra 02:46 - magic polterguy/magic 03:11 - freetvarr furey/freetvarr 03:36 - Termix Termix-SSH/Termix 04:01 - AgentFlux davemessew/AgentFlux 04:26 - dashbeam tonyantony300/dashbeam 04:51 - ayakaleaf-pro ayaka-notes/ayakaleaf-pro 05:17 - parson parsonlabs/parson 05:40 - filebrowser gtsteffaniak/filebrowser 06:05 - alma-relay yetone/alma-relay 06:29 - gofer cristianadrielbraun/gofer 06:53 - contrack arvarik/contrack 07:21 - mailflare hieunc229/mailflare 07:47 - GaiaCP tetterip/GaiaCP 08:11 - AutoBot-AI mrveiss/AutoBot-AI 08:37 - veloxdb veloxbase/veloxdb 09:02 - inkadra inkadra/inkadra 09:24 - F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 - sparrow sarathsp06/sparrow 10:16 - sigwood helixmap/sigwood 10:43 - keygate tabloy/keygate 11:08 - zeabur zeabur-oss/zeabur 11:34 - Templatical templatical/sdk Thank you so much for watching. Please like the video and subscribe to our channel. #github #ai #opensource Notice: The content was created with the assistance of AI and may contain inaccuracies or errors. ▬▬▬▬▬▬ 👋 Contact me 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ Buy Me A Coffee link.githubawesome.com [ar] 28 مشروعاً ذاتي الاستضافة على GitHub: kanzo, traccar, suna, dossier, doska, mitra, magic, freetvarr اليوم، نستعرض 28 مشروعًا يمكنك تشغيلها على جهازك الخاص. الاشتراك في القناة المدفوعة: youtube.com رابط النسخة النصية: githubawesome.com 00:00 - مقدمة 00:10 - كانزو emanuele-em/kanzo 00:37 - تراكار traccar/traccar 01:05 - سونا kortix-ai/suna 01:31 - دوسيير AienTech/dossier 01:57 - دوسكا romenkova/doska 02:22 - ميترا a11delavar/mitra 02:46 - ماجيك polterguy/magic 03:11 - freetvarr furey/freetvarr 03:36 - Termix Termix-SSH/Termix 04:01 - AgentFlux davemessew/AgentFlux 04:26 - dashbeam tonyantony300/dashbeam 04:51 - ayakaleaf-pro ayaka-notes/ayakaleaf-pro 05:17 - parson parsonlabs/parson 05:40 - filebrowser gtsteffaniak/filebrowser 06:05 - alma-relay yetone/alma-relay 06:29 - جوفر cristianadrielbraun/gofer 06:53 - كونتراك arvarik/contrack 07:21 - ميل فلير hieunc229/mailflare 07:47 - GaiaCP tetterip/GaiaCP 08:11 - AutoBot-AI mrveiss/AutoBot-AI 08:37 - فيلوكسدب veloxbase/veloxdb 09:02 - إنكادرا inkadra/inkadra 09:24 - F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 - sparrow sarathsp06/sparrow 10:16 - sigwood helixmap/sigwood 10:43 - keygate tabloy/keygate 11:08 - zeabur zeabur-oss/zeabur 11:34 - Templatical templatical/sdk شكرًا جزيلًا على المشاهدة. يُرجى الإعجاب بالفيديو والاشتراك في قناتنا. #github #ai #opensource ملاحظة: تم إنشاء هذا المحتوى بمساعدة الذكاء الاصطناعي، وقد يحتوي على بعض الأخطاء أو عدم الدقة. ▬▬▬▬▬▬ 👋 تواصل معي 👋 ▬▬▬▬▬▬ ➡ لينك تري: link.githubawesome.com ➡ ادعمني بشراء قهوة: link.githubawesome.com [bn] গিটহাবে ২৮টি সেলফ-হোস্টেড প্রজেক্ট: kanzo, traccar, suna, dossier, doska, mitra, magic, freetvarr আজ আমরা এমন ২৮টি সেলফ-হোস্টেড প্রজেক্ট দেখব যা আপনি আপনার নিজের হার্ডওয়্যারে চালাতে পারবেন। পেইড চ্যানেল সাবস্ক্রিপশন: youtube.com টেক্সট ভার্সনের লিঙ্ক: githubawesome.com ০০:০০ - ভূমিকা ০০:১০ - kanzo emanuele-em/kanzo ০০:৩৭ - traccar traccar/traccar ০১:০৫ - suna kortix-ai/suna ০১:৩১ - dossier AienTech/dossier ০১:৫৭ - doska romenkova/doska ০২:২২ - mitra a11delavar/mitra ০২:৪৬ - magic polterguy/magic ০৩:১১ - ফ্রীটভার furey/freetvarr ০৩:৩৬ - টারমিক্স Termix-SSH/Termix ০৪:০১ - এজেন্টফ্লাক্স davemessew/AgentFlux ০৪:২৬ - ড্যাশবিম tonyantony300/dashbeam ০৪:৫১ - আয়াকালিফ-প্রো ayaka-notes/ayakaleaf-pro ০৫:১৭ - পারসন parsonlabs/parson ০৫:৪০ - ফাইলব্রাউজার gtsteffaniak/filebrowser ০৬:০৫ - আলমা-রিলে yetone/alma-relay ০৬:২৯ - গোফার cristianadrielbraun/gofer ০৬:৫৩ - কনট্র্যাক arvarik/contrack 07:21 - মেইলফ্লেয়ার hieunc229/mailflare 07:47 - GaiaCP tetterip/GaiaCP 08:11 - AutoBot-AI mrveiss/AutoBot-AI 08:37 - veloxdb veloxbase/veloxdb 09:02 - inkadra inkadra/inkadra 09:24 - F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 - চড়ুই sarathsp06/sparrow 10:16 - sigwood helixmap/sigwood 10:43 - কীগেট tabloy/keygate 11:08 - zeabur zeabur-oss/zeabur ১১:৩৪ - Templatical templatical/sdk দেখার জন্য আপনাকে অনেক ধন্যবাদ। অনুগ্রহ করে ভিডিওটি লাইক করুন এবং আমাদের চ্যানেলটি সাবস্ক্রাইব করুন। #github #ai #opensource বিজ্ঞপ্তি: এই কন্টেন্টটি AI-এর সহায়তায় তৈরি করা হয়েছে এবং এতে ভুল বা ত্রুটি থাকতে পারে। ▬▬▬▬▬▬ 👋 আমার সাথে যোগাযোগ করুন 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ Buy Me A Coffee link.githubawesome.com [de-DE] 28 Self-Hosted-Projekte auf GitHub: kanzo, traccar, suna, dossier, doska, mitra, magic, freetvarr Heute sehen wir uns 28 selbstgehostete Projekte an, die Sie auf Ihrer eigenen Hardware ausführen können. Kanalabonnement (kostenpflichtig): youtube.com Link zur Textversion: githubawesome.com 00:00 – Einführung 00:10 – kanzo emanuele-em/kanzo 00:37 – traccar traccar/traccar 01:05 – suna kortix-ai/suna 01:31 – dossier AienTech/dossier 01:57 – doska romenkova/doska 02:22 – mitra a11delavar/mitra 02:46 – magic polterguy/magic 03:11 - freetvarr furey/freetvarr 03:36 - Termix Termix-SSH/Termix 04:01 - AgentFlux davemessew/AgentFlux 04:26 - dashbeam tonyantony300/dashbeam 04:51 - ayakaleaf-pro ayaka-notes/ayakaleaf-pro 05:17 - parson parsonlabs/parson 05:40 - filebrowser gtsteffaniak/filebrowser 06:05 - alma-relay yetone/alma-relay 06:29 - gofer cristianadrielbraun/gofer 06:53 – Contrack arvarik/contrack 07:21 – Mailflare hieunc229/mailflare 07:47 – GaiaCP tetterip/GaiaCP 08:11 – AutoBot-AI mrveiss/AutoBot-AI 08:37 – veloxdb veloxbase/veloxdb 09:02 – Inkadra inkadra/inkadra 09:24 – F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 – Spatz sarathsp06/sparrow 10:16 – Sigwood helixmap/sigwood 10:43 – Keygate tabloy/keygate 11:08 – Zeabur zeabur-oss/zeabur 11:34 – Templatical templatical/sdk Vielen Dank fürs Zuschauen! Bitte liket das Video und abonniert unseren Kanal. #github #ai #opensource Hinweis: Dieser Inhalt wurde mithilfe von KI erstellt und kann Ungenauigkeiten oder Fehler enthalten. ▬▬▬▬▬▬ 👋 Kontakt 👋 ▬▬▬▬▬▬ ➡ Linktree: link.githubawesome.com ➡ Unterstütze mich mit einer Spende: link.githubawesome.com [es-US] 28 proyectos autohospedados en GitHub: kanzo, traccar, suna, dossier, doska, mitra, magic, freetvarr Hoy vamos a analizar 28 proyectos autoalojados que puedes ejecutar en tu propio hardware. Suscripción de pago al canal: youtube.com Enlace a la versión en texto: githubawesome.com 00:00 - Introducción 00:10 - Kanzo emanuele-em/kanzo 00:37 - Traccar traccar/traccar 01:05 - Suna kortix-ai/suna 01:31 - Dossier AienTech/dossier 01:57 - Doska romenkova/doska 02:22 - Mitra a11delavar/mitra 02:46 - Magic polterguy/magic 03:11 - freetvarr furey/freetvarr 03:36 - Termix Termix-SSH/Termix 04:01 - AgentFlux davemessew/AgentFlux 04:26 - dashbeam tonyantony300/dashbeam 04:51 - ayakaleaf-pro ayaka-notes/ayakaleaf-pro 05:17 - parson parsonlabs/parson 05:40 - filebrowser gtsteffaniak/filebrowser 06:05 - alma-relay yetone/alma-relay 06:29 - gofer cristianadrielbraun/gofer 06:53 - contraataque arvarik/contrack 07:21 - llamarada de correo hieunc229/mailflare 07:47 - GaiaCP tetterip/GaiaCP 08:11 - AutoBot-AI mrveiss/AutoBot-AI 08:37 - veloxdb veloxbase/veloxdb 09:02 - inkadra inkadra/inkadra 09:24 - F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 - gorrión sarathsp06/sparrow 10:16 - sigwood helixmap/sigwood 10:43 - keygate tabloy/keygate 11:08 - zeabur zeabur-oss/zeabur 11:34 - Templatical templatical/sdk Muchas gracias por ver el video. Dale me gusta y suscríbete a nuestro canal. #github #ai #opensource Aviso: El contenido se creó con la ayuda de IA y puede contener imprecisiones o errores. ▬▬▬▬▬▬ 👋 Contáctame 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ Invítame a un café: link.githubawesome.com [fr-FR] 28 projets auto-hébergés sur Github : kanzo, traccar, suna, dossier, doska, mitra, magic, freetvarr Aujourd'hui, nous passons en revue 28 projets auto-hébergés que vous pouvez exécuter sur votre propre matériel. Abonnement payant à la chaîne : youtube.com Lien vers la version texte : githubwesome.com 00:00 - Introduction 00:10 - kanzo emanuele-em/kanzo 00:37 - traccar traccar/traccar 01:05 - suna kortix-ai/suna 01:31 - dossier AienTech/dossier 01:57 - doska romenkova/doska 02:22 - mitra a11delavar/mitra 02:46 - magic polterguy/magic 03:11 - freetvarr furey/freetvarr 03:36 - Termix Termix-SSH/Termix 04:01 - AgentFlux davemessew/AgentFlux 04:26 - dashbeam tonyantony300/dashbeam 04:51 - ayakaleaf-pro ayaka-notes/ayakaleaf-pro 05:17 - parson parsonlabs/parson 05:40 - filebrowser gtsteffaniak/filebrowser 06:05 - alma-relay yetone/alma-relay 06:29 - gofer cristianadrielbraun/gofer 06:53 - contrack arvarik/contrack 07h21 - mailflare hieunc229/mailflare 07h47 - GaiaCP tetterip/GaiaCP 08h11 - AutoBot-AI mrveiss/AutoBot-AI 08h37 - veloxdb veloxbase/veloxdb 09h02 - inkadra inkadra/inkadra 09h24 - F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 - moineau sarathsp06/sparrow 10h16 - Sigwood helixmap/sigwood 10:43 - Keygate tabloy/keygate 11:08 - Zeabur zeabur-oss/zeabur 11:34 - Templatical templatical/sdk Merci beaucoup d'avoir regardé cette vidéo. N'hésitez pas à la liker et à vous abonner à notre chaîne. #github #ai #opensource Avertissement : Ce contenu a été créé avec l'aide d'une IA et peut contenir des inexactitudes ou des erreurs. ▬▬▬▬▬▬ 👋 Me contacter 👋 ▬▬▬▬▬▬ ➡ LinkTree : link.githubewesome.com ➡ Offrir un café : link.githubewesome.com [hi] GitHub पर 28 सेल्फ-होस्टेड प्रोजेक्ट्स: kanzo, traccar, suna, dossier, doska, mitra, magic, freet... आज हम 28 ऐसे सेल्फ-होस्टेड प्रोजेक्ट्स के बारे में जानेंगे जिन्हें आप अपने खुद के हार्डवेयर पर चला सकते हैं। चैनल की सशुल्क सदस्यता: youtube.com टेक्स्ट संस्करण का लिंक: githubawesome.com 00:00 - परिचय 00:10 - kanzo emanuele-em/kanzo 00:37 - traccar traccar/traccar 01:05 - suna kortix-ai/suna 01:31 - dossier AienTech/dossier 01:57 - doska romenkova/doska 02:22 - mitra a11delavar/mitra 02:46 - magic polterguy/magic 03:11 - freetvarr furey/freetvarr 03:36 - Termix Termix-SSH/Termix 04:01 - AgentFlux davemessew/AgentFlux 04:26 - dashbeam tonyantony300/dashbeam 04:51 - ayakaleaf-pro ayaka-notes/ayakaleaf-pro 05:17 - parson parsonlabs/parson 05:40 - filebrowser gtsteffaniak/filebrowser 06:05 - alma-relay yetone/alma-relay 06:29 - गोफ़र cristianadrielbraun/gofer 06:53 - कॉन्ट्रैक arvarik/contrack 07:21 - मेलफ्लेयर hieunc229/mailflare 07:47 - GaiaCP tetterip/GaiaCP 08:11 - ऑटोबॉट-एआई mrveiss/AutoBot-AI 08:37 - वेलॉक्सडीबी veloxbase/veloxdb 09:02 - इंकद्रा inkadra/inkadra 09:24 - F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 - गौरैया sarathsp06/sparrow 10:16 - सिगवुड helixmap/sigwood 10:43 - कीगेट tabloy/keygate 11:08 - ज़ेबुर zeabur-oss/zeabur 11:34 - टेम्प्लैटिकल templatical/sdk वीडियो देखने के लिए बहुत-बहुत धन्यवाद। कृपया वीडियो को लाइक करें और हमारे चैनल को सब्सक्राइब करें। #github #ai #opensource सूचना: यह सामग्री AI की सहायता से बनाई गई है और इसमें कुछ त्रुटियाँ या अशुद्धियाँ हो सकती हैं। ▬▬▬▬▬▬ 👋 मुझसे संपर्क करें 👋 ▬▬▬▬▬▬ ➡ लिंक ट्री: link.githubawesome.com ➡ मुझे कॉफ़ी पिलाएँ: link.githubawesome.com [id] 28 Proyek Self-Hosted di GitHub: kanzo, traccar, suna, dossier, doska, mitra, magic, freetvarr Hari ini, kita akan meninjau 28 proyek yang dapat dijalankan sendiri di perangkat keras Anda. Langganan saluran berbayar: youtube.com Tautan versi teks: githubawesome.com 00:00 - Pendahuluan 00:10 - kanzo emanuele-em/kanzo 00:37 - traccar traccar/traccar 01:05 - suna kortix-ai/suna 01:31 - dossier AienTech/dossier 01:57 - doska romenkova/doska 02:22 - mitra a11delavar/mitra 02:46 - magic polterguy/magic 03:11 - freetvarr furey/freetvarr 03:36 - Termix Termix-SSH/Termix 04:01 - AgentFlux davemessew/AgentFlux 04:26 - dashbeam tonyantony300/dashbeam 04:51 - ayakaleaf-pro ayaka-notes/ayakaleaf-pro 05:17 - parson parsonlabs/parson 05:40 - filebrowser gtsteffaniak/filebrowser 06:05 - alma-relay yetone/alma-relay 06:29 - gofer cristianadrielbraun/gofer 06:53 - contrack arvarik/contrack 07:21 - mailflare hieunc229/mailflare 07:47 - GaiaCP tetterip/GaiaCP 08:11 - AutoBot-AI mrveiss/AutoBot-AI 08:37 - veloxdb veloxbase/veloxdb 09:02 - inkadra inkadra/inkadra 09:24 - F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 - burung gereja sarathsp06/sparrow 10:16 - kayu sigwood helixmap/sigwood 10:43 - gerbang kunci tabloy/keygate 11:08 - zeabur zeabur-oss/zeabur 11:34 - Templatical templatical/sdk Terima kasih banyak telah menonton. Silakan sukai video ini dan berlangganan saluran kami. #github #ai #opensource Peringatan: Konten ini dibuat dengan bantuan AI dan mungkin mengandung ketidakakuratan atau kesalahan. ▬▬▬▬▬▬ 👋 Hubungi saya 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ Dukung Saya dengan Membeli Kopi link.githubawesome.com [it] 28 progetti self-hosted su Github: kanzo, traccar, suna, dossier, doska, mitra, magic, freetvarr Oggi esamineremo 28 progetti self-hosted che puoi eseguire sul tuo hardware. Abbonamento a pagamento al canale: youtube.com Link alla versione testuale: githubawesome.com 00:00 - Introduzione 00:10 - kanzo emanuele-em/kanzo 00:37 - traccar traccar/traccar 01:05 - suna kortix-ai/suna 01:31 - dossier AienTech/dossier 01:57 - doska romenkova/doska 02:22 - mitra a11delavar/mitra 02:46 - magic Italiano: polterguy/magic 03:11 - freetvarr furey/freetvarr 03:36 - Termix Termix-SSH/Termix 04:01 - AgentFlux davemessew/AgentFlux 04:26 - dashbeam tonyantony300/dashbeam 04:51 - ayakaleaf-pro ayaka-notes/ayakaleaf-pro 05:17 - parson parsonlabs/parson 05:40 - filebrowser gtsteffaniak/filebrowser 06:05 - alma-relay yetone/alma-relay 06:29 - gofer cristianadrielbraun/gofer 06:53 - contrack arvarik/contrack 07:21 - mailflare hieunc229/mailflare 07:47 - GaiaCP tetterip/GaiaCP 08:11 - AutoBot-AI mrveiss/AutoBot-AI 08:37 - veloxdb veloxbase/veloxdb 09:02 - inkadra inkadra/inkadra 09:24 - F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 - passero sarathsp06/sparrow 10:16 - sigwood Italiano: helixmap/sigwood 10:43 - Keygate tabloy/keygate 11:08 - Zeabur zeabur-oss/zeabur 11:34 - Templatical templatical/sdk Grazie mille per aver guardato il video. Metti mi piace e iscriviti al nostro canale. #github #ai #opensource Nota: il contenuto è stato creato con l'aiuto dell'IA e potrebbe contenere imprecisioni o errori. ▬▬▬▬▬▬ 👋 Contattami 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ Offrimi un caffè link.githubawesome.com [iw] 28 פרויקטים ב-Self-Hosting מ-GitHub: kanzo, traccar, suna, dossier, doska, mitra, magic, freetvarr היום, אנחנו בודקים 28 פרויקטים באחסון עצמי שתוכלו להריץ על החומרה שלכם. מנוי לערוץ בתשלום: youtube.com קישור לגרסת הטקסט: githubawesome.com 00:00 - מבוא 00:10 - קאנזו emanuele-em/kanzo 00:37 - טראקאר traccar/traccar 01:05 - סונה kortix-ai/suna 01:31 - דוסייה AienTech/dossier 01:57 - דוסקה romenkova/doska 02:22 - מיטרה a11delavar/mitra 02:46 - קסם polterguy/magic 03:11 - freetvarr furey/freetvarr 03:36 - Termix Termix-SSH/Termix 04:01 - AgentFlux davemessew/AgentFlux 04:26 - dashbeam tonyantony300/dashbeam 04:51 - ayakaleaf-pro ayaka-notes/ayakaleaf-pro 05:17 - parson parsonlabs/parson 05:40 - filebrowser gtsteffaniak/filebrowser 06:05 - alma-relay yetone/alma-relay 06:29 - גופר cristianadrielbraun/gofer 06:53 - contrack arvarik/contrack 07:21 - mailflare hieunc229/mailflare 07:47 - GaiaCP tetterip/GaiaCP 08:11 - AutoBot-AI mrveiss/AutoBot-AI 08:37 - veloxdb veloxbase/veloxdb 09:02 - inkadra inkadra/inkadra 09:24 - F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 - דרור sarathsp06/sparrow 10:16 - סיגווד helixmap/sigwood 10:43 - keygate tabloy/keygate 11:08 - zeabur zeabur-oss/zeabur 11:34 - Templatical templatical/sdk תודה רבה שצפיתם. אנא עשו לייק לסרטון והירשמו לערוץ שלנו. #github #ai #opensource הערה: התוכן נוצר בעזרת בינה מלאכותית ועשוי להכיל אי דיוקים או שגיאות. ▬▬▬▬▬▬ 👋 צרו איתי קשר 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ תקנו לי קפה link.githubawesome.com [ja] GitHubで使えるセルフホスト可能なプロジェクト28選：kanzo, traccar, suna, dossier, doska, mitra, magic, freetvarr 今日は、自分のハードウェア上で実行できるセルフホスティング型プロジェクトを28個ご紹介します。 有料チャンネル登録：youtube.com テキスト版リンク：githubawesome.com 00:00 - はじめに 00:10 - Kanzo emanuele-em/kanzo 00:37 - Traccar traccar/traccar 01:05 - Suna kortix-ai/suna 01:31 - Dossier AienTech/dossier 01:57 - Doska romenkova/doska 02:22 - Mitra a11delavar/mitra 02:46 - Magic polterguy/magic 03:11 - freetvarr furey/freetvarr 03:36 - Termix Termix-SSH/Termix 04:01 - AgentFlux davemessew/AgentFlux 04:26 - dashbeam tonyantony300/dashbeam 04:51 - ayakaleaf-pro ayaka-notes/ayakaleaf-pro 05:17 - parson parsonlabs/parson 05:40 - filebrowser gtsteffaniak/filebrowser 06:05 - alma-relay yetone/alma-relay 06:29 - gofer cristianadrielbraun/gofer 06:53 - コントラック arvarik/contrack 07:21 - メールフレア hieunc229/mailflare 07:47 - GaiaCP tetterip/GaiaCP 08:11 - AutoBot-AI mrveiss/AutoBot-AI 08:37 - veloxdb veloxbase/veloxdb 09:02 - インカドラ inkadra/inkadra 09:24 - F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 - スズメ sarathsp06/sparrow 10:16 - シグウッドhelixmap/sigwood 10:43 - KeyGate tabloy/keygate 11:08 - Zeabur zeabur-oss/zeabur 11:34 - Templatical templatical/sdk ご視聴いただきありがとうございました。ぜひ動画に「いいね」をして、チャンネル登録をお願いします。 #github #ai #opensource 注意：このコンテンツはAIの支援を受けて作成されたため、不正確な情報や誤りが含まれている可能性があります。 ▬▬▬▬▬▬ 👋 ご連絡ください 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ Buy Me A Coffee: link.githubawesome.com [ko] GitHub에서 직접 호스팅 가능한 프로젝트 28선: kanzo, traccar, suna, dossier, doska, mitra, magic, freetvarr 오늘은 여러분이 직접 하드웨어에서 실행할 수 있는 28개의 자체 호스팅 프로젝트를 살펴보겠습니다. 유료 채널 구독: youtube.com 텍스트 버전 링크: githubwesome.com 00:00 - 소개 00:10 - kanzo emanuele-em/kanzo 00:37 - traccar traccar/traccar 01:05 - suna kortix-ai/suna 01:31 - dossier AienTech/dossier 01:57 - doska romenkova/doska 02:22 - mitra a11delavar/mitra 02:46 - magic polterguy/magic 03:11 - freetvarr furey/freetvarr 03:36 - Termix Termix-SSH/Termix 04:01 - AgentFlux davemessew/AgentFlux 04:26 - dashbeam tonyantony300/dashbeam 04:51 - ayakaleaf-pro ayaka-notes/ayakaleaf-pro 05:17 - parson parsonlabs/parson 05:40 - filebrowser gtsteffaniak/filebrowser 06:05 - alma-relay yetone/alma-relay 06:29 - gofer cristianadrielbraun/gofer 06:53 - 콘트랙 arvarik/contrack 07:21 - 메일플레어 hieunc229/mailflare 07:47 - GaiaCP tetterip/GaiaCP 08:11 - AutoBot-AI mrveiss/AutoBot-AI 08:37 - veloxdb veloxbase/veloxdb 09:02 - 인카드라 inkadra/inkadra 09:24 - F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 - 참새 sarathsp06/sparrow 10:16 - 시그우드 helixmap/sigwood 10:43 - keygate tabloy/keygate 11:08 - zeabur zeabur-oss/zeabur 11:34 - Templatical templatical/sdk 시청해 주셔서 감사합니다. 영상에 좋아요를 누르고 채널 구독도 부탁드립니다. #github #ai #opensource 주의: 본 콘텐츠는 AI를 이용하여 제작되었으며, 부정확하거나 오류가 포함될 수 있습니다. ▬▬▬▬▬▬ 👋 연락처 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ Buy Me A Coffee link.githubawesome.com [ml] ഗിത്തബിൽ 28 സെൽഫ്-ഹോസ്റ്റഡ് പ്രോജക്ടുകൾ: കാൻസൊ, ട്രാക്കാർ, സുന, ഡോസിയർ, ഡോസ്ക, മിത്ര, മാജിക്, ഫ്ര... ഇന്ന്, നിങ്ങളുടെ സ്വന്തം ഹാർഡ്‌വെയറിൽ പ്രവർത്തിപ്പിക്കാൻ കഴിയുന്ന 28 സ്വയം-ഹോസ്റ്റഡ് പ്രോജക്ടുകൾ ഞങ്ങൾ പരിശോധിക്കുന്നു. പണമടച്ചുള്ള ചാനൽ സബ്‌സ്‌ക്രിപ്‌ഷൻ: youtube.com ടെക്‌സ്റ്റ് പതിപ്പ് ലിങ്ക്: githubawesome.com 00:00 - ആമുഖം 00:10 - കാൻസൊ emanuele-em/kanzo 00:37 - ട്രാക്കാർ traccar/traccar 01:05 - സുന kortix-ai/suna 01:31 - ഡോസിയർ AienTech/dossier 01:57 - ഡോസ്ക romenkova/doska 02:22 - മിത്ര a11delavar/mitra 02:46 - മാജിക് polterguy/magic 03:11 - freetvarr furey/freetvarr 03:36 - Termix Termix-SSH/Termix 04:01 - AgentFlux davemessew/AgentFlux 04:26 - ഡാഷ്ബീം tonyantony300/dashbeam 04:51 - ayakaleaf-pro ayaka-notes/ayakaleaf-pro 05:17 - parson parsonlabs/parson 05:40 - ഫയൽബ്രൗസർ gtsteffaniak/filebrowser 06:05 - alma-relay yetone/alma-relay 06:29 - ഗോഫർ cristianadrielbraun/gofer 06:53 - കോൺട്രാക്ക് arvarik/contrack 07:21 - മെയിൽഫ്ലെയർ hieunc229/mailflare 07:47 - GaiaCP tetterip/GaiaCP 08:11 - AutoBot-AI mrveiss/AutoBot-AI 08:37 - veloxdb veloxbase/veloxdb 09:02 - ഇങ്കദ്ര inkadra/inkadra 09:24 - F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 - കുരുവി sarathsp06/sparrow 10:16 - സിഗ്വുഡ് helixmap/sigwood 10:43 - കീഗേറ്റ് tabloy/keygate 11:08 - zeabur zeabur-oss/zeabur 11:34 - ടെംപ്ലേറ്റീവ് templatical/sdk കണ്ടതിന് വളരെ നന്ദി. ദയവായി വീഡിയോ ലൈക്ക് ചെയ്യുകയും ഞങ്ങളുടെ ചാനൽ സബ്സ്ക്രൈബ് ചെയ്യുകയും ചെയ്യുക. #github #ai #opensource ശ്രദ്ധിക്കുക: ഉള്ളടക്കം AI യുടെ സഹായത്തോടെ സൃഷ്ടിച്ചതാണ്, അതിൽ കൃത്യതയില്ലായ്മകളോ പിശകുകളോ അടങ്ങിയിരിക്കാം. ▬▬▬▬▬▬ 👋 എന്നെ ബന്ധപ്പെടുക 👋 ▬▬▬▬▬▬ ➡ ലിങ്ക്ട്രീ: link.githubawesome.com ➡ എനിക്ക് ഒരു കാപ്പി വാങ്ങിത്തരൂ link.githubawesome.com [nl-NL] 28 self-hosted projecten op GitHub: kanzo, traccar, suna, dossier, doska, mitra, magic, freetvarr Vandaag bekijken we 28 zelfgehoste projecten die je op je eigen hardware kunt uitvoeren. Betaald kanaalabonnement: youtube.com Link naar tekstversie: githubawesome.com 00:00 - Introductie 00:10 - kanzo emanuele-em/kanzo 00:37 - traccar traccar/traccar 01:05 - suna kortix-ai/suna 01:31 - dossier AienTech/dossier 01:57 - doska romenkova/doska 02:22 - mitra a11delavar/mitra 02:46 - magic polterguy/magic 03:11 - freetvarr furey/freetvarr 03:36 - Termix Termix-SSH/Termix 04:01 - AgentFlux davemessew/AgentFlux 04:26 - dashbeam tonyantony300/dashbeam 04:51 - ayakaleaf-pro ayaka-notes/ayakaleaf-pro 05:17 - parson parsonlabs/parson 05:40 - filebrowser gtsteffaniak/filebrowser 06:05 - alma-relay yetone/alma-relay 06:29 - gofer cristianadrielbraun/gofer 06:53 - contrack arvarik/contrack 07:21 - mailflare hieunc229/mailflare 07:47 - GaiaCP tetterip/GaiaCP 08:11 - AutoBot-AI mrveiss/AutoBot-AI 08:37 - veloxdb veloxbase/veloxdb 09:02 - inkadra inkadra/inkadra 09:24 - F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 - mus sarathsp06/sparrow 10:16 - sigwood helixmap/sigwood 10:43 - sleutelpoort tabloy/keygate 11:08 - zeabur zeabur-oss/zeabur 11:34 - Templatical templatical/sdk Hartelijk dank voor het kijken. Geef de video een like en abonneer je op ons kanaal. #github #ai #opensource Let op: De inhoud is gemaakt met behulp van AI en kan onnauwkeurigheden of fouten bevatten. ▬▬▬▬▬▬ 👋 Neem contact met me op 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ Koop me een koffie: link.githubawesome.com [pa] ਗਿਟਹੱਬ (GitHub) 'ਤੇ 28 ਸੈਲਫ-ਹੋਸਟਡ ਪ੍ਰੋਜੈਕਟ: kanzo, traccar, suna, dossier, doska, mitra, magic, f... ਅੱਜ, ਅਸੀਂ 28 ਸਵੈ-ਹੋਸਟਡ ਪ੍ਰੋਜੈਕਟਾਂ ਦੀ ਜਾਂਚ ਕਰ ਰਹੇ ਹਾਂ ਜੋ ਤੁਸੀਂ ਆਪਣੇ ਹਾਰਡਵੇਅਰ 'ਤੇ ਚਲਾ ਸਕਦੇ ਹੋ। ਭੁਗਤਾਨ ਕੀਤਾ ਚੈਨਲ ਗਾਹਕੀ: youtube.com ਟੈਕਸਟ ਵਰਜਨ ਲਿੰਕ: githubawesome.com 00:00 - ਜਾਣ-ਪਛਾਣ 00:10 - kanzo emanuele-em/kanzo 00:37 - traccar traccar/traccar 01:05 - suna kortix-ai/suna 01:31 - ਡੋਜ਼ੀਅਰ AienTech/dossier 01:57 - doska romenkova/doska 02:22 - mitra a11delavar/mitra 02:46 - ਜਾਦੂ polterguy/magic 03:11 - freetvarr furey/freetvarr 03:36 - ਟਰਮਿਕਸ Termix-SSH/Termix 04:01 - ਏਜੰਟਫਲਕਸ davemessew/AgentFlux 04:26 - ਡੈਸ਼ਬੀਮ tonyantony300/dashbeam 04:51 - ayakaleaf-pro ayaka-notes/ayakaleaf-pro 05:17 - ਪਾਰਸਨ parsonlabs/parson 05:40 - ਫਾਈਲਬ੍ਰਾਊਜ਼ਰ gtsteffaniak/filebrowser 06:05 - ਅਲਮਾ-ਰੀਲੇ yetone/alma-relay 06:29 - ਗੋਫਰ cristianadrielbraun/gofer 06:53 - ਕੰਟਰੈਕ arvarik/contrack 07:21 - ਮੇਲਫਲੇਅਰ hieunc229/mailflare 07:47 - GaiaCP tetterip/GaiaCP 08:11 - ਆਟੋਬੋਟ-ਏਆਈ mrveiss/AutoBot-AI 08:37 - veloxdb veloxbase/veloxdb 09:02 - inkadra inkadra/inkadra 09:24 - F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 - ਚਿੜੀ sarathsp06/sparrow 10:16 - ਸਿਗਵੁੱਡ helixmap/sigwood 10:43 - ਕੀਗੇਟ tabloy/keygate 11:08 - zeabur zeabur-oss/zeabur 11:34 - ਟੈਂਪਲੇਟੀਕਲ templatical/sdk ਦੇਖਣ ਲਈ ਤੁਹਾਡਾ ਬਹੁਤ ਧੰਨਵਾਦ। ਕਿਰਪਾ ਕਰਕੇ ਵੀਡੀਓ ਨੂੰ ਪਸੰਦ ਕਰੋ ਅਤੇ ਸਾਡੇ ਚੈਨਲ ਨੂੰ ਸਬਸਕ੍ਰਾਈਬ ਕਰੋ। #github #ai #opensource ਨੋਟਿਸ: ਸਮੱਗਰੀ AI ਦੀ ਸਹਾਇਤਾ ਨਾਲ ਬਣਾਈ ਗਈ ਸੀ ਅਤੇ ਇਸ ਵਿੱਚ ਗਲਤੀਆਂ ਜਾਂ ਗਲਤੀਆਂ ਹੋ ਸਕਦੀਆਂ ਹਨ। ▬▬▬▬▬▬ 👋 ਮੇਰੇ ਨਾਲ ਸੰਪਰਕ ਕਰੋ 👋 ▬▬▬▬▬▬ ➡ ਲਿੰਕਟ੍ਰੀ: link.githubawesome.com ➡ ਮੈਨੂੰ ਇੱਕ ਕਾਫੀ ਖਰੀਦੋ link.githubawesome.com [pl] 28 projektów self-hosted z GitHuba: kanzo, traccar, suna, dossier, doska, mitra, magic, freetvarr Dzisiaj przyjrzymy się 28 projektom hostowanym samodzielnie, które możesz uruchomić na własnym sprzęcie. Płatna subskrypcja kanału: youtube.com Link do wersji tekstowej: github.com/28-self-hosted-projects-on-github 00:00 – Wprowadzenie 00:10 – kanzo emanuele-em/kanzo 00:37 – traccar traccar/traccar 01:05 – suna kortix-ai/suna 01:31 – dossier AienTech/dossier 01:57 – doska romenkova/doska 02:22 – mitra a11delavar/mitra 02:46 – magic polterguy/magic 03:11 - freetvarr furey/freetvarr 03:36 - Termix Termix-SSH/Termix 04:01 - AgentFlux davemessew/AgentFlux 04:26 - dashbeam tonyantony300/dashbeam 04:51 - ayakaleaf-pro ayaka-notes/ayakaleaf-pro 05:17 - parson parsonlabs/parson 05:40 - przeglądarka plików gtsteffaniak/filebrowser 06:05 - alma-relay yetone/alma-relay 06:29 – gofer cristianadrielbraun/gofer 06:53 – utwór arvarik/contrack 07:21 – mailflare hieunc229/mailflare 07:47 – GaiaCP tetterip/GaiaCP 08:11 – AutoBot-AI mrveiss/AutoBot-AI 08:37 – veloxdb veloxbase/veloxdb 09:02 – inkadra inkadra/inkadra 09:24 – F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 - sparrow sarathsp06/sparrow 10:16 - sigwood helixmap/sigwood 10:43 - keygate tabloy/keygate 11:08 - zeabur zeabur-oss/zeabur 11:34 - Templatical templatical/sdk Dziękujemy za obejrzenie. Polub film i zasubskrybuj nasz kanał. #github #ai #opensource Uwaga: Treść została stworzona przy pomocy sztucznej inteligencji i może zawierać nieścisłości lub błędy. ▬▬▬▬▬▬ 👋 Skontaktuj się ze mną 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ Kup mi kawę link.githubawesome.com [pt-BR] 28 projetos auto-hospedados no Github: kanzo, traccar, suna, dossier, doska, mitra, magic, freetvarr Hoje, vamos dar uma olhada em 28 projetos auto-hospedados que você pode executar em seu próprio hardware. Assinatura paga do canal: youtube.com Link para a versão em texto: githubawesome.com 00:00 - Introdução 00:10 - kanzo emanuele-em/kanzo 00:37 - traccar traccar/traccar 01:05 - suna kortix-ai/suna 01:31 - dossier AienTech/dossier 01:57 - doska romenkova/doska 02:22 - mitra a11delavar/mitra 02:46 - magic polterguy/magic 03:11 - freetvarr furey/freetvarr 03:36 - Termix Termix-SSH/Termix 04:01 - AgentFlux davemessew/AgentFlux 04:26 - dashbeam tonyantony300/dashbeam 04:51 - ayakaleaf-pro ayaka-notes/ayakaleaf-pro 05:17 - parson parsonlabs/parson 05:40 - filebrowser gtsteffaniak/filebrowser 06:05 - alma-relay yetone/alma-relay 06:29 - gofer cristianadrielbraun/gofer 06:53 - contrato arvarik/contrack 07:21 - mailflare hieunc229/mailflare 07:47 - GaiaCP tetterip/GaiaCP 08:11 - AutoBot-AI mrveiss/AutoBot-AI 08:37 - veloxdb veloxbase/veloxdb 09:02 - inkadra inkadra/inkadra 09:24 - F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 - pardal sarathsp06/sparrow 10:16 - sigwood helixmap/sigwood 10:43 – porta-chaves tabloy/keygate 11:08 - zeabur zeabur-oss/zeabur 11:34 - Templatical templatical/sdk Muito obrigado por assistir. Por favor, curta o vídeo e inscreva-se no nosso canal. #github #ai #opensource Aviso: O conteúdo foi criado com o auxílio de IA e pode conter imprecisões ou erros. ▬▬▬▬▬▬ 👋 Contato 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ Compre-me um café: link.githubawesome.com [ru] 28 self-hosted проектов на GitHub: kanzo, traccar, suna, dossier, doska, mitra, magic, freetvarr Сегодня мы рассмотрим 28 проектов, которые можно запустить на собственном оборудовании. Платная подписка на канал: youtube.com Ссылка на текстовую версию: githubawesome.com 00:00 - Введение 00:10 - kanzo emanuele-em/kanzo 00:37 - traccar traccar/traccar 01:05 - suna kortix-ai/suna 01:31 - dossier AienTech/dossier 01:57 - doska romenkova/doska 02:22 - mitra a11delavar/mitra 02:46 - magic polterguy/magic 03:11 - freetvarr furey/freetvarr 03:36 - Termix Termix-SSH/Termix 04:01 - AgentFlux davemessew/AgentFlux 04:26 - dashbeam tonyantony300/dashbeam 04:51 - ayakaleaf-pro ayaka-notes/ayakaleaf-pro 05:17 - parson parsonlabs/parson 05:40 - filebrowser gtsteffaniak/filebrowser 06:05 - alma-relay yetone/alma-relay 06:29 - Гофер cristianadrielbraun/gofer 06:53 - контрек arvarik/contrack 07:21 — mailflare hieunc229/mailflare 07:47 — GaiaCP tetterip/GaiaCP 08:11 — AutoBot-AI mrveiss/AutoBot-AI 08:37 — veloxdb veloxbase/veloxdb 09:02 - инкадра inkadra/inkadra 09:24 — F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 - sparrow sarathsp06/sparrow 10:16 - sigwood helixmap/sigwood 10:43 - keygate tabloy/keygate 11:08 - zeabur zeabur-oss/zeabur 11:34 - Templatical templatical/sdk Большое спасибо за просмотр. Пожалуйста, поставьте лайк видео и подпишитесь на наш канал. #github #ai #opensource Примечание: Контент создан с помощью ИИ и может содержать неточности или ошибки. ▬▬▬▬▬▬ 👋 Свяжитесь со мной 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ Поддержите меня, купив мне кофе: link.githubawesome.com [ta] GitHub-ல் உள்ள 28 சுய-வழங்கி திட்டங்கள்: kanzo, traccar, suna, dossier, doska, mitra, magic, free... இன்று, உங்கள் சொந்த வன்பொருளில் இயக்கக்கூடிய 28 சுய-ஹோஸ்ட் செய்யப்பட்ட திட்டங்களைப் பற்றிப் பார்க்கப் போகிறோம். கட்டண சேனல் சந்தா: youtube.com உரை வடிவ இணைப்பு: githubawesome.com 00:00 - அறிமுகம் 00:10 - kanzo emanuele-em/kanzo 00:37 - traccar traccar/traccar 01:05 - suna kortix-ai/suna 01:31 - dossier AienTech/dossier 01:57 - doska romenkova/doska 02:22 - mitra a11delavar/mitra 02:46 - magic polterguy/magic 03:11 - freetvarr furey/freetvarr 03:36 - Termix Termix-SSH/Termix 04:01 - AgentFlux davemessew/AgentFlux 04:26 - dashbeam tonyantony300/dashbeam 04:51 - ayakaleaf-pro ayaka-notes/ayakaleaf-pro 05:17 - parson parsonlabs/parson 05:40 - filebrowser gtsteffaniak/filebrowser 06:05 - alma-relay yetone/alma-relay 06:29 - gofer cristianadrielbraun/gofer 06:53 - கான்ட்ராக் arvarik/contrack 07:21 - mailflare hieunc229/mailflare 07:47 - GaiaCP tetterip/GaiaCP 08:11 - AutoBot-AI mrveiss/AutoBot-AI 08:37 - veloxdb veloxbase/veloxdb 09:02 - இன்காத்ரா inkadra/inkadra 09:24 - F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 - குருவி sarathsp06/sparrow 10:16 - சிக்வுட் helixmap/sigwood 10:43 - கீகேட் (keygate) tabloy/keygate 11:08 - ஸீபர் (zeabur) zeabur-oss/zeabur 11:34 - டெம்ப்ளேட்டிக்கல் (Templatical) templatical/sdk பார்த்ததற்கு மிக்க நன்றி. தயவுசெய்து இந்த வீடியோவை லைக் செய்து, எங்கள் சேனலுக்கு சப்ஸ்கிரைப் செய்யுங்கள். #கிட்ஹப் #ஏஐ #ஓப்பன்சோர்ஸ் அறிவிப்பு: இந்த உள்ளடக்கம் செயற்கை நுண்ணறிவின் (AI) உதவியுடன் உருவாக்கப்பட்டது, மேலும் இதில் தவறுகள் அல்லது பிழைகள் இருக்கலாம். ▬▬▬▬▬▬ 👋 என்னைத் தொடர்பு கொள்ள 👋 ▬▬▬▬▬▬ ➡ லிங்க்ட்ரீ (LinkTree): link.githubawesome.com ➡ எனக்கு ஒரு காபி வாங்கிக் கொடுங்கள் (Buy Me A Coffee) link.githubawesome.com [te] GitHubలో 28 సెల్ఫ్-హోస్టెడ్ ప్రాజెక్ట్‌లు: kanzo, traccar, suna, dossier, doska, mitra, magic, fr... ఈరోజు, మీరు మీ స్వంత హార్డ్‌వేర్‌పై నడపగలిగే 28 సెల్ఫ్-హోస్టెడ్ ప్రాజెక్ట్‌లను మనం పరిశీలిస్తున్నాము. చెల్లింపు ఛానెల్ సబ్‌స్క్రిప్షన్: youtube.com టెక్స్ట్ వెర్షన్ లింక్: githubawesome.com 00:00 - పరిచయం 00:10 - కాంజో emanuele-em/kanzo 00:37 - ట్రాకార్ traccar/traccar 01:05 - సునా kortix-ai/suna 01:31 - డాసియర్ AienTech/dossier 01:57 - దోస్కా romenkova/doska 02:22 - మిత్ర a11delavar/mitra 02:46 - మ్యాజిక్ polterguy/magic 03:11 - freetvarr furey/freetvarr 03:36 - Termix Termix-SSH/Termix 04:01 - AgentFlux davemessew/AgentFlux 04:26 - dashbeam tonyantony300/dashbeam 04:51 - ayakaleaf-pro ayaka-notes/ayakaleaf-pro 05:17 - parson parsonlabs/parson 05:40 - filebrowser gtsteffaniak/filebrowser 06:05 - alma-relay yetone/alma-relay 06:29 - gofer cristianadrielbraun/gofer 06:53 - కాంట్రాక్ arvarik/contrack 07:21 - మెయిల్‌ఫ్లేర్ hieunc229/mailflare 07:47 - GaiaCP tetterip/GaiaCP 08:11 - AutoBot-AI mrveiss/AutoBot-AI 08:37 - veloxdb veloxbase/veloxdb 09:02 - ఇంకాడ్రా inkadra/inkadra 09:24 - F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 - పిచ్చుక sarathsp06/sparrow 10:16 - సిగ్వుడ్ helixmap/sigwood 10:43 - కీగేట్ tabloy/keygate 11:08 - జీబర్ zeabur-oss/zeabur 11:34 - టెంప్లేటికల్ templatical/sdk చూసినందుకు చాలా ధన్యవాదాలు. దయచేసి వీడియోను లైక్ చేయండి మరియు మా ఛానెల్‌కు సబ్‌స్క్రైబ్ చేయండి. #github #ai #opensource గమనిక: ఈ కంటెంట్ AI సహాయంతో సృష్టించబడింది మరియు ఇందులో తప్పులు లేదా దోషాలు ఉండవచ్చు. ▬▬▬▬▬▬ 👋 నన్ను సంప్రదించండి 👋 ▬▬▬▬▬▬ ➡ లింక్‌ట్రీ: link.githubawesome.com ➡ బై మీ ఎ కాఫీ link.githubawesome.com [uk] 28 проєктів для самостійного хостингу на GitHub: kanzo, traccar, suna, dossier, doska, mitra, mag... Сьогодні ми розглядаємо 28 самостійно розміщених проектів, які ви можете запускати на власному обладнанні. Платна підписка на канал: youtube.com Посилання на текстову версію: githubawesome.com 00:00 - Вступ 00:10 - kanzo emanuele-em/kanzo 00:37 - traccar traccar/traccar 01:05 - suna kortix-ai/suna 01:31 - досьє AienTech/dossier 01:57 - doska romenkova/doska 02:22 - mitra a11delavar/mitra 02:46 - magic polterguy/magic 03:11 - freetvarr furey/freetvarr 03:36 - Termix Termix-SSH/Termix 04:01 - AgentFlux davemessew/AgentFlux 04:26 - dashbeam tonyantony300/dashbeam 04:51 - ayakaleaf-pro ayaka-notes/ayakaleaf-pro 05:17 - parson parsonlabs/parson 05:40 - файловий браузер gtsteffaniak/filebrowser 06:05 - alma-relay yetone/alma-relay 06:29 - гофер cristianadrielbraun/gofer 06:53 - contrack arvarik/contrack 07:21 - mailflare hieunc229/mailflare 07:47 - GaiaCP tetterip/GaiaCP 08:11 - AutoBot-AI mrveiss/AutoBot-AI 08:37 - veloxdb veloxbase/veloxdb 09:02 - inkadra inkadra/inkadra 09:24 - F1ReplayTiming adn8naiagent/F1ReplayTiming 09:52 - горобець sarathsp06/sparrow 10:16 - сигвуд helixmap/sigwood 10:43 - keygate tabloy/keygate 11:08 - zeabur zeabur-oss/zeabur 11:34 - Templatical templatical/sdk Щиро дякуємо за перегляд. Будь ласка, поставте лайк відео та підпишіться на наш канал. #github #AI #opensource Примітка: Контент створено за допомогою штучного інтелекту та може містити неточності або помилки. ▬▬▬▬▬▬▬ 👋 Зв'яжіться зі мною 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ Купи мені каву link.githubawesome.com

Failed to Connect to MetaMask”: Debugging an SSE Failure Without Jumping to Conclusions A browser-extension error, a successful retry, and a convincing explanation that the evidence had not earned It looked like a useful clue. A streaming application was searching for export customers across multiple sources. During troubleshooting, the browser console showed a MetaMask connection error. After MetaMask was disabled, the interface populated its example fields, started the search, entered the first of eight stages, and displayed 17 initial results in roughly five seconds. The tempting conclusion was immediate: MetaMask intercepts fetch, terminates long-running SSE connections, and causes the application to fail. That explanation was specific. It sounded technically plausible. It also went beyond the available evidence. The successful retry established that the application could start returning results in one run without the extension. It did not establish that the extension had intercepted the request, imposed a timeout, or caused the earlier failure. This article develops a debugging workflow from that distinction. It is not a confirmed MetaMask root-cause report. The initial observation is real; the experiments and architecture below are a proposed way to investigate it. The central principle is attribution: an error can be genuine without being the cause of the failure you are investigating. 1. Start With an Evidence Ledger, Not a Root-Cause Story Before changing code, separate observations from interpretations. | Statement | Status | |---|---| | The console displayed a MetaMask error originating from an extension URL. | Observed | | The application returned initial results after MetaMask was disabled. | Observed | | All eight search stages completed successfully. | Not established | | The earlier stream failed because of MetaMask. | Hypothesis | | MetaMask intercepted the application’s generic fetch requests. | Not established | | MetaMask terminated the stream after a particular duration. | Not established | This table prevents a subtle escalation: Something changed. ↓ The application behaved differently. ↓ The changed component must explain everything. The extension state is a useful experimental variable. It is not yet a complete explanation. There is independent evidence that this error family can appear in applications unrelated to cryptocurrency. TrackJS documents Failed to connect to MetaMask as an extension-origin error that can occur independently of a site’s own functionality. That supports treating it as a possible source of noise—not automatically dismissing every nearby failure. trackjs 2. Separate Three Contracts That Can Fail Independently For this investigation, I would model the application as three contracts. The transport contract Can the browser receive the stream? Relevant evidence includes: - Response headers received. - First event received. - Last event received. - Sequence gaps. - An explicit completion event. - A transport or stream-reading error. The execution contract Does the search actually run and finish? Relevant evidence includes: - Job creation. - Worker progress. - Dependency failures. - Persisted results. - Final job state. The telemetry contract Does the recorded exception belong to the application? Relevant evidence includes: - Extension-origin versus application-origin frames. - The original rejection payload. - Breadcrumbs. - A corresponding failed user operation. These contracts should not be collapsed into a single “working” or “broken” flag. A worker may finish while the browser loses its connection. The browser may remain connected while a dependency stalls. An extension may generate an exception while the application continues normally. For this application, I would therefore make each contract observable separately. 3. Remove the Search Engine From the First Experiment Testing only the full customer-search workflow introduces too many moving parts: Browser → application client → deployment path → search service → external sources → result processing → streamed response My first diagnostic tool would be a deterministic stream endpoint passing through the same deployment path but performing no external searches. A proposed test interface: GET /debug/stream?mode=active GET /debug/stream?mode=silent GET /debug/stream?mode=disconnect GET /debug/stream?mode=invalid-payload Each mode should test a different condition: | Mode | Intended behavior | Question | |---|---|---| | active | Emit numbered events regularly. | Can the path sustain an active stream? | | silent | Introduce controlled gaps. | Does inactivity correlate with disconnection? | | disconnect | Close before the completion event. | Does the client distinguish interruption from success? | | invalid-payload | Send an event that violates the application schema. | Does the client distinguish parsing failure from connection failure? | These are proposed fault-injection modes, not results from an executed experiment. Active streams and silent streams are different tests A stream emitting data every two seconds does not adequately test an inactivity hypothesis. Test both: 1. A continuously active stream. 2. A stream with controlled silent intervals. 3. The same silent intervals with periodic heartbeat comments. MDN documents SSE comments as a possible keep-alive mechanism for preventing some connection timeouts. Comments begin with : and are ignored by the event parser. This makes them useful for transport maintenance, but not equivalent to application-visible progress events. developer.mozilla For example: : keep-alive An application-visible heartbeat is a different design choice: event: heartbeat data: {"serverTime":"2026-10-28T08:00:00Z"} In the proposed diagnostic client, I would track transport activity and application progress separately rather than letting a heartbeat imply that the search is advancing. 4. Run a Controlled Comparison Start with a small matrix: | Test | Extension state | Workload | |---|---|---| | A | Disabled | Deterministic stream | | B | Enabled | Deterministic stream | | C | Disabled | Real search | | D | Enabled | Real search | Repeat each condition and vary the order. Keep the browser version, application version, input, and deployment configuration fixed. Avoid treating “normal profile versus incognito” as a perfectly isolated extension test. That comparison may change more than extension availability. For this investigation, record the environment explicitly and minimize differences between conditions. The results should guide the next experiment: - If only extension-enabled runs fail, the extension hypothesis becomes stronger. - If only real searches fail, investigate search dependencies and application logic. - If silent streams fail in both environments, investigate inactivity-related behavior. - If the server completes while the client reports failure, focus on delivery and client handling. - If nothing fails reproducibly, report that limitation rather than manufacturing certainty. These patterns narrow the investigation. They do not replace inspecting the actual failure. 5. Measure Two Clocks For every disconnect, record both: elapsed_since_request_start elapsed_since_last_received_data These measurements answer different questions. A failure consistently associated with total connection age suggests a different experiment from one associated with a long quiet period. Do not immediately label either pattern a timeout imposed by a specific component. First determine whether the pattern exists. My proposed run record would include: { "runId": "run-042", "jobId": "job-109", "extensionState": "enabled", "headersReceivedAt": null, "firstEventAt": null, "lastEventAt": null, "lastSequence": null, "completionReceived": false, "abortReason": null, "clientError": null, "serverJobState": null } This is an instrumentation schema, not a sample experimental result. The useful question is not merely “Did fetch fail?” It is: > At which boundary did the observed behavior diverge from the expected behavior? 6. A Real Example: Filtering Wallet Noise Without Claiming to Fix Transport A public change in the Suna repository illustrates a related but narrower engineering problem. The commit describes an unhandled rejection carrying a plain object: { code: 4900, message: "The provider is disconnected from all chains." } According to the commit description, the rejection lacked a useful stack, was captured by Sentry as a synthetic unhandled rejection, and appeared alongside a MetaMask connection breadcrumb. The maintainers classified that specific event as injected wallet-provider noise in their application. github The important lesson is how narrowly they approached the fix: - Match a specific rejection shape. - Preserve events containing application-owned frames. - Filter at the telemetry boundary. - Add tests for both events that should be dropped and similar events that should remain. github That is a telemetry correction. It is not evidence that the extension intercepted generic HTTP requests. It is not an SSE repair. TrackJS also discusses filtering this error family, but its example uses broader message matching. Comparing these approaches raises a useful review question: could the filter suppress an application error merely because its message mentions a wallet? trackjs For my application, I would require negative tests before introducing any filter: Known extension-noise signature → eligible for filtering Similar application error → retained Event with first-party frames → retained Unknown rejection → retained Cleaning the dashboard should never become a substitute for understanding failed operations. 7. Make the Search Survive the Connection Regardless of the final root cause, I would change one architectural assumption: > The browser connection should observe the search, not own its lifetime. A proposed API: POST /search-jobs GET /search-jobs/{jobId} GET /search-jobs/{jobId}/events POST /search-jobs/{jobId}/cancel The execution path becomes: Create job ↓ Execute work independently ↓ Persist progress and results ↓ Expose progress through a stream Under this contract: - A disconnected browser does not automatically cancel the job. - Cancellation is an explicit operation. - The client can retrieve the current state after reconnecting. - Stable result identifiers support deduplication. - An explicit terminal state distinguishes completion from interruption. A proposed terminal event: event: done id: 148 data: {"jobId":"job-109","status":"completed","resultCount":73} The count above is illustrative, not a reported result. Reconnection is not replay MDN documents automatic reconnection behavior for EventSource and the use of event IDs. However, retaining missed events and deciding what to replay remain application responsibilities. developer.mozilla If the client consumes SSE through fetch, I would explicitly implement and test its reconnection behavior rather than assume it inherits the behavior of EventSource. For this design, a reconnect request should either: 1. Resume from an accepted cursor, or 2. Return a fresh snapshot and establish a new event position. The server should define what happens when an old cursor can no longer be served. Silent gaps are not an acceptable recovery contract. 8. Use AI to Challenge the Explanation An AI assistant can be useful here—but the prompt should not smuggle an unproven cause into the task. A weak prompt: > Explain why MetaMask terminates my SSE connection. A better prompt: Observation: Initial search results appeared after MetaMask was disabled. Unknown: Whether MetaMask caused the earlier failure. Tasks: 1. Separate observations from causal claims. 2. Propose competing explanations. 3. Design the smallest experiment that distinguishes them. 4. State what result would weaken each explanation. 5. Do not invent extension internals. 6. Identify missing evidence before proposing a patch. Then require an evidence structure: Claim Supporting observation Conflicting observation Missing evidence Next discriminating test I would also separate patch generation from patch acceptance. A proposed patch must demonstrate: - A reproducible failure. - A test that detects it. - A change that makes that test pass. - Regression tests for neighboring behavior. - A clear statement of what remains unverified. An articulate explanation is not an experimental result. 9. Define Completion Before Declaring Victory For the proposed investigation, I would not close the issue merely because: - The console became quiet. - The first results appeared. - One retry succeeded. - Disabling an extension changed the behavior once. I would close it with either: A supported root cause A reproducible failure, a discriminating experiment, and a validated correction. An explicitly unresolved cause A documented observation, unsuccessful reproduction attempts, remaining hypotheses, and improved instrumentation. The second outcome is not a failed investigation. It is a defensible limit on what the evidence supports. Meanwhile, the architecture should pass a separate recovery test: > Disconnect the client during a search, reconnect, and verify that persisted results remain available without creating a duplicate job or misreporting completion. Conclusion The MetaMask error was a legitimate clue. The successful retry was a useful observation. Neither justified the full story that initially seemed to connect them. The engineering opportunity was larger than identifying one extension: - Separate transport health from job health. - Separate application failures from telemetry noise. - Test active and silent streams independently. - Make recovery behavior explicit. - Ask AI for falsifiable experiments rather than confident explanations. A clean console is not proof of a healthy system. A successful retry is not proof of a root cause. Build tests that can tell the difference. created by : almodarresieh.github.io

@datlqqq github.com/kortix-ai/suna/tree/dev/apps/capture although Kortix Capture first deployment is going live as we speak :)

Kortix - The open-source AI Operating System The leading open-source alternative to Claude Cowork and ChatGPT Work. kortix-ai/suna t.co

Kortix 0.13.56 adds a Files page and brings project Apps into view. Small UX changes like this matter: open-source AI agents are more useful when their work and integrations are easy to inspect. Source: github.com/kortix-ai/suna/releases/tag/v0.13.56

CrewAI Alternatives: The Open-Source Option for Work Bigger Than One App You can feel the limit before you name it. The crew runs clean in your terminal, then a teammate asks why it cannot see last quarter's tickets, and another asks who approved the email it sent a customer. CrewAI did its job and showed the team that agents can collaborate. When the work gets bigger than one application, what you want next is a system you own end to end, and that is Kortix, the open-source AI Operating System. Kortix is the open-source AI Operating System: your agents, their skills, your company memory, and every connector in one git repo you own, with the agents working on real cloud computers. CrewAI stays the right tool for a lot of work. The question is narrower than "which is better": which parts of a company-wide job a framework leaves to you, and what to reach for when those parts become the job. What CrewAI is good at CrewAI is an open-source Python framework for orchestrating role-playing, autonomous agents (CrewAI on GitHub). It gives a developer two primitives. A Crew is a team of role-based agents that collaborate and delegate tasks among themselves. A Flow is an event-driven workflow that manages state and controls execution, and a Flow can call a Crew at one of its steps. CrewAI's documentation puts Flows at the backbone of an application and Crews as the units of work inside them (CrewAI docs). That shape fits when the deliverable is a Python application your engineers own and operate. You install the framework, describe agents and tasks, wire them into a service or a job, and deploy it wherever that Python code runs. A nightly research pass, a pipeline with a fixed shape, a report a developer can follow in the trace: these are CrewAI's home ground. CrewAI also sells a commercial layer around the framework. Its own site positions itself as "the enterprise agent build and runtime for the work your business runs on," and the repository describes CrewAI AMP Suite as adding managed deployment, observability, governance, security and enterprise support (crewai.com, CrewAI on GitHub). The framework is open source and free to build on. Checked October 2026: the repository carried about 59,700 GitHub stars, and the latest release, 1.15.28, shipped on 14 October 2026 (CrewAI on GitHub). Where a framework stops being enough Most CrewAI roundups compare frameworks to frameworks. The dimension that decides a move is different: who owns the runtime, and who owns the memory. A framework answers how agents work together in code. It stops there, and the parts of a company-wide job stay with the team that deploys it. Durable shared memory. A framework keeps what you tell it to persist for that run. Making several people and several agents share one company memory that outlives every run, and that a later run can read and build on, is a system you build. Connectors to the whole company. A framework gives you a place to call a tool. Wiring each app, holding the credential, and deciding which agent may touch what stays in your application. Review by someone other than the author. In a framework, the reviewer reads the code that runs the agents. The agent's output has no diff to approve until someone builds one. Governance. Per-resource permissions, an audit trail and approval gates are things a platform owns. A library that does not own the runtime cannot ship them. A surface for people who are not Python engineers. A framework runs where your application runs. A teammate in sales or finance who should start a job needs an interface someone has to build. None of these is a flaw in CrewAI. They sit outside the layer a framework covers, and they are the parts that grow once the agents stop belonging to one team's codebase. The other Python frameworks share the same boundary CrewAI is not the only framework in this lane, and the boundary moves with the framework rather than away from it. LangGraph is a low-level orchestration framework and runtime for long-running, stateful agents. Its checkpointers keep a thread's state and its stores keep data across threads, so a graph can resume after a failure and remember across interactions (LangGraph overview, LangGraph persistence). That durability is real. It is still a runtime you assemble and a storage layer you configure, and the ownership question stays yours. What to look at instead: Kortix, the open-source AI Operating System Kortix is the system around the agents, and you own it end to end. The agents, their skills, the company memory, the connector config and the triggers are files in one git repo you own, so the company is versioned, diffable and auditable like code. The framework question is answered inside that repo. OpenCode is the harness, configured by a file, so the layer that turns a model into an agent is not the thing you are locked into. Each session runs on its own cloud computer. One isolated sandbox per session. Each session has its own isolated machine and branch, so an agent can install, run and break anything, and only what it commits survives. Thousands of agents in parallel on one config, each on its own cloud computer. Connectors reach 3,000+ apps in a click, plus MCP, OpenAPI, Postman, GraphQL and raw HTTP. Connector credentials are brokered server-side and never enter the machine. On the people side, per-resource permissions for people and agents, roles, groups, and an audit trail. Approval gates you set, off until you set them. Work lands through review. Session work reaches main through a change request. Merge is default-deny for agents, so a person who did not write the prompt reads the diff and decides what ships. The same system is reachable from the web app, the CLI, Slack and Microsoft Teams, which is how a teammate who is not an engineer starts a job. Model choice stays yours: any model provider with your own keys. Run it on Kortix Cloud, in your VPC, or on your own on-prem network. Self-host is free. Kortix is open source: read it, fork it, audit it, with 20,000+ GitHub stars on Kortix on GitHub. The Kortix docs show the mechanics. How to decide The choice turns on the work itself. Three questions settle it. Does the context outlive one run? If each run starts fresh, a framework is enough. If a later run needs to build on what an earlier one learned, you need memory the company owns rather than memory a process holds. Who reviews the output? If the author reads it, a framework is enough. If a second person signs off before it changes anything, you need a review gate a platform runs. Who starts the work? If only the engineers who wrote it start it, a framework is enough. If a teammate in another function starts it from chat or a form, you need a surface outside the codebase. When every answer lands on the framework side, keep CrewAI. It is the right shape for an agent that lives inside one application, and you lose nothing by staying. When any answer lands on the system side, the missing piece is a system the company runs, because a library that does not own the run environment cannot add it. That is the case for Kortix, the open-source AI Operating System. crewai-alternative.com maps the wider field, and the alternatives comparison puts the tools side by side. To start, Try Kortix.

Gumloop is a hosted builder. What an open-source alternative changes for a team Gumloop is a no-code builder for AI agents that work across the tools a team already uses. Its agents open a real browser, click, type and pull data from any site, with or without an API, and the product documents a password vault for agent logins, session recordings with passwords masked, and a handoff to a person when a site needs one. For operations work that is a genuinely useful shape. The question buyers keep asking is what to pick instead when a hosted builder is the wrong fit, and that question has a specific answer. What Gumloop is, from its own pages Gumloop describes itself as agent infrastructure: one teammate builds an agent and the whole org puts it to work, each person in their own chats. Slack, Microsoft Teams and Gmail are surfaces it plugs into, and triggers start a run when a meeting ends, a lead fills in a form or an issue is filed. Pricing starts at 37 dollars a month on the Pro plan, with Enterprise custom (checked October 2026). Every run is scored against rules the team sets. The pattern is familiar: a hosted product, its cloud, its connectors, its model choices. What actually pushes a team off a hosted builder The reasons repeat across the teams that switch: - The configuration lives in someone else's product, not in a file the team owns. You cannot diff last month's configuration against this month's, or roll one agent back without rolling all of them. - The connector credentials sit with the vendor. A security review asks where the agent's access is scoped and what stops an agent from calling a tool it should not touch. - The audit trail is a product feature, not something the team can grep. - The builder is one tool in the stack rather than the place the whole operation runs. None of those are defects in Gumloop. They are properties of the hosted shape, and they are exactly why the open-source route exists. What an open-source alternative changes Kortix is the open-source AI Operating System. The difference is not a feature list, it is where the system lives: agents, skills, memory, connector configuration and triggers are files in one git repo the team owns, not settings in a vendor's database. That single decision changes four things a team can verify: - You run it where you want. Self-host free with one Docker Compose stack, in your own VPC, on-prem, or use the managed cloud. The same configuration works in each. - Any model, your keys. Kortix is model-agnostic: choose the model per agent, per session or per message, bring your own API key from any major provider, or use the subscription you already pay for. - Every session gets its own isolated machine, on its own branch, named after the session. The agent can install, run and break anything; only what it commits survives. - Work reaches main through a change request you review, so the whole operation improves one reviewed change at a time. Connector credentials are brokered server-side and never enter the machine, per-tool rules can allow, ask or block a call down to its arguments, and every change to an agent or a skill lands as a diff. If the job is a fixed flowchart, a workflow engine such as n8n is the right tool. If the job is an open-ended piece of work an agent does on its own computer, with the configuration in git and a person approving what it changes, the open-source system is the better fit. Where to start If you are evaluating what to use instead of Gumloop, two questions decide it: 1. Does the team need to own the configuration, or is a rented builder fine? 2. Does the work arrive as a fixed sequence of steps, or as open-ended jobs that need their own machine? The alternative compared page-by-page, including the pricing shapes and the self-hosting route, is at gumloopalternative.com. The code is at kortix-ai/suna and the docs are at kortix.com.

When an agent framework stops being enough You pick an agent framework to build the agent. The framework answers how the agent reasons: the graph, the roles, the tools, the step where a person signs off. It says nothing about who owns the system the agents run on, or how the work they produce gets reviewed. That second question is the one teams hit late. Kortix is the open-source AI Operating System a company owns end to end, and the decision between a framework and a platform is about ownership rather than capability. What each one is LangGraph is a low-level orchestration framework for building stateful agents, released under the MIT license. Its own repository describes durable execution, human-in-the-loop interrupts, short and long-term memory, and LangSmith for debugging and deployment. You write the agent logic in Python, host it yourself, and wire in the models and tools your application needs. The framework gives a developer exact control, and that control is the point. CrewAI is an open-source Python framework for multi-agent workflows, also MIT-licensed. It gives two primitives: Crews, teams of role-based agents that collaborate and delegate, and Flows, event-driven automations with explicit state and branching. For a team already building in Python, both are a short path from nothing to agents that work together. Kortix is different in kind. It is the open-source AI Operating System where a company's agents, skills, memory and connectors live as files in one git repo the company owns. Each session runs on its own isolated cloud computer, and the work an agent produces lands as a change request a person reviews against the diff before it reaches the main branch. There is no framework to import and no application to build around it; the repo is the system. A framework answers how an agent thinks. An owned platform answers where the system lives, who can read it, and who approves what it changes. Framework or platform: the decision | | Kortix | LangGraph | CrewAI | | --- | --- | --- | --- | | What it is | A company's agents, memory and connectors in one owned repo | A low-level framework for stateful agents | A Python framework for multi-agent workflows | | Open source | Yes | Yes, MIT | Yes, MIT | | Who runs it | The company, cloud, VPC or on-prem | You deploy the library | You deploy the app | | Shared memory | Company memory as files in the repo | Memory in your own store | Per-run state you persist | | Human review | A change request a person approves | Interrupts you code | Review you add in code | | Model choice | Any model, your keys | Model-agnostic | Any LLM through its API | Where a framework is the right tool A framework is the right choice when a single team builds agent behavior inside an application it already runs and owns. You want the graph and the state to be code you control, you want to test it like any other software, and the agents are a feature of your product rather than the way the whole company works. Both LangGraph and CrewAI are strong engines for that job. Where a team outgrows it The pressure arrives when more than one person and more than one agent share the same context. Three things change at once. Shared state becomes the first problem. When several agents need the same company memory, and several people need to see what each one learned, a store inside one application stops being the right home. Kortix keeps that memory as files in a repo the whole team versions and reviews. Reaching real tools is the second. Wiring a CRM, a billing system and a code host into agent logic stays application plumbing until the rules about which agent may touch which tool need to live somewhere a reviewer can read. Kortix reaches 3,000+ apps in a click, plus MCP, OpenAPI, Postman, GraphQL and raw HTTP, and connector credentials are brokered server-side so they never enter the machine. Review is the third. Work that changes something the company depends on should land the way code lands. In Kortix, a session cuts its own branch, an agent proposes its work as a change request with the exact diff, and merge is default-deny for agents. A person decides what ships. What an owned platform adds Because Kortix keeps the whole system in one repo, you can read it, fork it and run it yourself. Self-hosting is free, and the same stack runs on Kortix Cloud, in your VPC or on your own on-prem network. Any model provider works with your own keys, including the ChatGPT plan you already pay for. Per-resource permissions cover people and agents, and every action is recorded. The point is not that a framework is worse. A framework is a building block, and a building block is exactly what a developer wants for one application. The point is that a company eventually needs a place where the agents, the memory, the rules and the review all live together, in something it owns. If you are weighing the two, start with what your team has to own. Kortix on GitHub is where you read, fork and audit the whole thing, and you can run your first session for free at kortix.com.