GitHub Trends
前往频道在 Telegram
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
显示更多未指定国家技术与应用10 696
📈 Telegram 频道 GitHub Trends 的分析概览
频道 GitHub Trends (@githubtrending) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 11 338 名订阅者，在 技术与应用 类别中位列第 10 696。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 11 338 名订阅者。
根据 25 八月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 225，过去 24 小时变化为 6，整体触达仍然可观。
- 认证状态： 未认证
- 互动率 (ER)： 平均受众互动率为 5.87%。内容发布后 24 小时内通常能获得 2.76% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 665 次浏览，首日通常累积 313 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 1。
- 主题关注点： 内容集中在 linux, workflow, setup, claude, command 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台：
“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”
凭借高频更新（最新数据采集于 26 八月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。
11 338
订阅者
+624 小时
+517 天
+22530 天
数据加载中...
吸引订阅者
八月 '26
八月 '26
+206
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+231
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六月 '26
+232
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+253
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四月 '26
+186
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三月 '26
+173
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二月 '26
+200
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一月 '26
+223
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十二月 '25
+145
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+164
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十月 '25
+89
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+35
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八月 '25
+27
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七月 '25
+33
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+25
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+50
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+33
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三月 '25
+56
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+46
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+42
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+78
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+121
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十月 '24
+179
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+214
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+259
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+235
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+189
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+178
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四月 '24
+166
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三月 '24
+214
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二月 '24
+137
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一月 '24
+150
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十二月 '23
+128
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十一月 '23
+63
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十月 '23
+48
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九月 '23
+105
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八月 '23
+229
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+176
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+161
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五月 '23
+203
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+203
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三月 '23
+195
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二月 '23
+161
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一月 '23
+192
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十二月 '22
+166
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十一月 '22
+162
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十月 '22
+224
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九月 '22
+172
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八月 '22
+142
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七月 '22
+158
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六月 '22
+203
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五月 '22
+124
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四月 '22
+137
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三月 '22
+135
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二月 '22
+92
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一月 '22
+107
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十二月 '21
+148
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十一月 '21
+85
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十月 '21
+251
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九月 '21
+237
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八月 '21
+277
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七月 '21
+294
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六月 '21
+253
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五月 '21
+276
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四月 '21
+323
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三月 '21
+324
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二月 '21
+354
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一月 '21
+344
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十二月 '20
+7 207
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| 日期 | 订阅者增长 | 提及 | 频道 | |
| 26 八月 | +4 | |||
| 25 八月 | +6 | |||
| 24 八月 | +5 | |||
| 23 八月 | +8 | |||
| 22 八月 | +19 | |||
| 21 八月 | +2 | |||
| 20 八月 | +4 | |||
| 19 八月 | +12 | |||
| 18 八月 | 0 | |||
| 17 八月 | +7 | |||
| 16 八月 | +5 | |||
| 15 八月 | +12 | |||
| 14 八月 | +3 | |||
| 13 八月 | +11 | |||
| 12 八月 | +6 | |||
| 11 八月 | +6 | |||
| 10 八月 | +19 | |||
| 09 八月 | +7 | |||
| 08 八月 | +12 | |||
| 07 八月 | +5 | |||
| 06 八月 | +13 | |||
| 05 八月 | +13 | |||
| 04 八月 | +13 | |||
| 03 八月 | +5 | |||
| 02 八月 | +4 | |||
| 01 八月 | +5 |
频道帖子
#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
| 2 | #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 | 144 |
| 3 | #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 | 342 |
| 4 | #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 | 315 |
| 5 | #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 | 322 |
| 6 | #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 | 397 |
| 7 | #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 | 362 |
| 8 | #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 | 384 |
| 9 | #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 | 477 |
| 10 | #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 | 451 |
| 11 | #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 | 521 |
| 12 | #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 | 595 |
| 13 | #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 | 556 |
| 14 | #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 | 637 |
| 15 | #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 | 573 |
| 16 | #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 | 524 |
| 17 | #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 | 534 |
| 18 | #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 | 499 |
| 19 | #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 | 560 |
| 20 | #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 | 594 |
