GitHub Trends
Kanalga Telegram’da o‘tish
See what the GitHub community is most excited about today. A bot automatically fetches new repositories from https://github.com/trending and sends them to the channel. Author and maintainer: https://github.com/katursis
Ko'proq ko'rsatishMamlakat belgilanmaganTexnologiyalar & Aralashmalar10 696
📈 Telegram kanali GitHub Trends analitikasi
GitHub Trends (@githubtrending) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 11 338 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 10 696-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 11 338 obunachiga ega bo‘ldi.
25 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 225 ga, so‘nggi 24 soatda esa 6 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 5.87% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.76% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 665 marta ko‘riladi; birinchi sutkada odatda 313 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 1 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent linux, workflow, setup, claude, command kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“See what the GitHub community is most excited about today.
A bot automatically fetches new repositories from https://github.com/trending and sends them to the channel.
Author and maintainer: https://github.com/katursis”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 26 Avgust, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
11 338
Obunachilar
+624 soatlar
+517 kunlar
+22530 kunlar
Postlar arxiv
11 338
#css #agent #claude #gpt_image_2 #rag #skills #web_design
This project gives you ready-made AI skills for making web presentations, better web designs, image prompts, local knowledge search, and polished articles. You can install them in several ways, including a simple command, plugins, zip files, or manual copy. The benefit is faster, higher-quality work: you can turn ideas into clean slides, strong UI, useful images, well-sourced answers, and readable articles with less effort and more control.
https://github.com/ConardLi/garden-skills
11 338
#html #agent_skills #architecture_as_code #architecture_diagram #claude_skill #code_visualization #codex #coding_agents #data_flow_diagram #deepseek_harness #developer_tools #diagram_as_code #diagrams #diagrams_as_code #dsh_plugin #mermaid_alternative #opencode #sequence_diagram #software_architecture #system_design #text_to_diagram
Archify turns a codebase or system description into an interactive system map you can use in chat. It helps you see architecture, compare changes, trace paths, and export shareable files like HTML and images, so you can understand systems faster, review them more safely, and share clear technical diagrams.
https://github.com/tt-a1i/archify
11 338
#javascript #agent_skills #ai_agents #claude #claude_code #claude_code_plugin #cursor_rules #developer_tools #llm #prompt_engineering #yagni
Ponytail is a tool for AI coding agents that tells them to use the simplest safe solution, like native features, shared code, or one-line fixes, instead of extra code. It can cut code, cost, and time while keeping safety checks, validation, and accessibility. For you, this means cleaner code, faster results, and less wasted work.
https://github.com/DietrichGebert/ponytail
11 338
#go #browser_history #go #golang #history #index #mcp #mcp_server #personal_search #personal_search_engine #privacy #search #search_engine #semantic_search #web
Hister is a private search tool that lets you search the full text of web pages and local files you have already visited or saved, from a browser, terminal, or AI assistant. It runs locally or on your own server, needs little setup, and helps you quickly find old information again while keeping your data private.
https://github.com/asciimoo/hister
11 338
#python
Marin is an open platform for building large language models, with tools for data cleaning, training, and testing. It saves every step so people can learn from both success and failure. You can use it to train small or very large models and follow clear guides to get started. The benefit is faster, more transparent model development, plus reusable code and examples that help you build your own AI projects more easily.
https://github.com/marin-community/marin
11 338
#swift #alt_tab #app_uninstaller #appkit #finder #free #keep_awake #mac_os #menu_bar #menubar #open_source #swift #swift_ui #system_monitor #uninstaller #volume_mixer #window_switcher
Vorssaint is a free Mac app that puts many useful tools in one menu bar icon, like volume control, system monitoring, window snapping, clipboard history, snippets, screenshots, and app cleanup. It runs locally, needs no account or subscription, and lets you install only the features you want so it stays light. This helps you save money, reduce clutter, and use one private tool instead of many separate apps.
https://github.com/vorssaint/vorssaint-utils
11 338
#typescript
FreeLLMAPI puts many free AI models behind one OpenAI-style API, with automatic failover, encrypted keys, and support for chat, embeddings, images, audio, and more. It helps you use one simple setup instead of many provider accounts, so your apps and coding tools can keep working, stay under free limits, and switch models when one is slow or limited.
https://github.com/tashfeenahmed/freellmapi
11 338
#python #agent_skills #ai_note_taking #ai_second_brain #claude_code #claude_code_skill #claude_memory #claude_plugin #karpathy_llm_wiki #knowledge_graph #knowledge_management #note_taking #notion_alternative #obsidian #obsidian_ai #obsidian_plugin #obsidian_second_brain #open_source #personal_knowledge_management #pkm #second_brain
Claude-obsidian helps you build a local Obsidian knowledge base that keeps getting better as you use it. It saves sources, makes linked notes, gives grounded answers from your own vault, and keeps your files under your control. This helps you find trusted information faster, avoid losing evidence, and grow a clean, useful knowledge system without relying on a cloud database.
https://github.com/AgriciDaniel/claude-obsidian
11 338
#javascript #agents #ai_image_generation #chatgpt #dsh_plugin #gpt_image_2 #image_prompts #prompt_as_code #prompt_engineering #skills #workflow_automation
This project gives a large, organized library of GPT-Image2 prompt examples, templates, and an agent skill for making better image prompts. It helps you find a style fast, reuse proven prompt structure, and create more stable, controllable images for work, batches, or automation.
https://github.com/freestylefly/awesome-gpt-image-2
11 338
#python
This is a read-only list of community plugins for Claude Cowork and Claude Code. Each plugin was submitted through the official form, checked for security, and approved before being added. You can install them from the Claude plugins site or by adding the marketplace in Claude Code. The benefit is simple: you get a safe, approved place to find useful plugins without needing to sort through unverified ones.
https://github.com/anthropics/claude-plugins-community
11 338
#shell #a311d #allwinner #amlogic #h96 #hg680p #hk1 #n1 #openwrt #r66s #r68s #rockchip #s905 #s905d #s905x #s905x2 #s905x3 #s912 #s922x #ugoos #x96
OpenWrt turns a TV box or router into a flexible Linux system you can customize with many packages. You can install it, update the system or kernel, make swap space, back up the old system, and reset it if needed. This helps you give old hardware new life, add features you want, and fix problems more easily.
https://github.com/ophub/amlogic-s9xxx-openwrt
11 338
#typescript #agent_runtime #ai #ai_agent #apache #cli #desktop #electron #event_sourcing #llm #local_first #maka #tool_use #typescript
Maka is a local-first agent workspace that runs on your computer, lets you use your own model connection, and can read files, run tools, and save recoverable work records. This helps you keep data local, control permissions, and recover or continue work more safely.
https://github.com/apache/maka
11 338
#python
This is a free research tool for removing a model’s refusal behavior while trying to keep its main language ability. It gives you an easy web app, a command line tool, a Python API, and tests to study how safety parts work and how they change. For you, the benefit is simple: you can run clear checks, compare models, save time, and choose how much control and risk you want when working with local AI models.
https://github.com/elder-plinius/OBLITERATUS
11 338
#rust #dpi #gpui #hid #hidpp #local_first #logitech #logitech_mouse #logitech_options #mouse_remapping #mx_master #privacy #rust #smartshift
OpenLogi is a light, local-first, open-source replacement for Logitech Options+ that works on macOS, Linux, and Windows. It lets you remap buttons and keys, use profiles, control Logitech mice, keyboards, and webcams, and save settings in one plain TOML file. The benefit to you is more control, easier syncing between devices, and Linux support, with no account needed.
https://github.com/AprilNEA/OpenLogi
11 338
#go
Agent Substrate is a system for running many agent-like apps at scale on Kubernetes. It can pause and restart them quickly, keep their memory and files, and pack many actors onto fewer machines, which saves cost and improves speed for you.
https://github.com/agent-substrate/substrate
11 338
#kotlin
Turn a Google Timeline file into a travel video on Android or iPhone, with exact date ranges, preview, and MP4 export. It works on-device, needs no Google sign-in, and keeps your Timeline file private. The benefit is fast, easy sharing of your trips as a video while keeping your location data under your control.
https://github.com/mahlernim/google-timeline-visualizer
11 338
#python #agent #agent_security #ai_infra #ai_red_teaming #ai_security #llm #llm_evaluation #llm_jailbreak #llm_security #mcp_scan #openclaw_security #prompt_injection #prompt_security #scanner #security #security_tools #skill_scanner #skills_security #vulnerability
A.I.G (AI-Infra-Guard) is a Tencent Zhuque Lab tool for AI red teaming and security checks. It scans AI infrastructure, MCP servers, agent skills, and jailbreak risks, and it can run with Docker, a web UI, or an API. This helps you find weak points early, understand real security risks, and fix problems before they affect your AI systems.
https://github.com/Tencent/AI-Infra-Guard
11 338
#mojo #ai #language #machine_learning #max #modular #mojo #programming_language
This repo has open-source tools for building and running AI with the Modular Platform, including MAX and Mojo. You can use it to start faster with model serving, AI code, examples, docs, and community help. It also shows where to contribute, report bugs, and check licenses, which helps you learn, build, and use the platform safely.
https://github.com/modular/modular
11 338
#rust
This text explains how to build, run, and test a local Amadeus node on Ubuntu with Docker or Podman, then start it as a system service with auto-updates and optional computor or validator startup. The main benefit is that you can quickly set up a working testnet, send transfers, deploy a contract, and run the node reliably on your machine.
https://github.com/amadeusprotocol/node
11 338
#javascript #cloud #cloud_native #cncf #configuration_management #design_patterns #design_system #gatsbyjs #hacktoberfest #internship #kanvas #kubernetes #lfx #management_plane #meshery #orchestration #playground #visual_designer #visualization
Layer5 makes cloud software for managing apps and infrastructure, with tools like Meshery for Kubernetes, Kanvas for design and operations, Nighthawk for performance testing, a cloud native catalog, Academy, and shared patterns and components. The benefit is simpler teamwork, faster setup, better operations, and easier learning, so you can build and run cloud systems with less stress and more control.
https://github.com/layer5io/layer5
