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10 494
📈 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 11 849 名订阅者，在 技术与应用 类别中位列第 10 494。
📊 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 11 849 名订阅者。
根据 25 十月, 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 222，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 6.00%。内容发布后 24 小时内通常能获得 N/A% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 0 次浏览，首日通常累积 0 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 0。
- 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 十月, 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。
11 849
订阅者
+624 小时
+447 天
+22230 天
帖子存档
11 851
#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
11 851
#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
11 851
#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
11 851
#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
11 851
#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
11 851
#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
11 851
#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
11 851
#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
11 851
#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
11 851
#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
11 851
#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
11 851
#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
11 851
#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
11 851
#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
11 851
#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
11 851
#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
11 851
#typescript #agents #claude_code #free #harness #harness_engineering #memory
This is a desktop app that turns coding CLIs into a team of agents that work together on your computer, with your own clone acting as the boss. It helps you by letting many agents share memory, send messages, and handle tasks while you can watch, guide, and approve important actions, so work can keep moving even when you are away.
https://github.com/chaitanyagiri/munder-difflin
11 851
#plsql
This is an open-source radar project called AERIS-10. It is a low-cost 10.5 GHz phased array radar with two versions: one for 3 km and one for 20 km, using open hardware, FPGA processing, GPS/IMU support, and a Python control app. It helps you learn, build, test, or improve real radar systems with ready design files and code.
https://github.com/NawfalMotii79/PLFM_RADAR
11 851
#typescript
This is a starter project for a GenLayer football betting app. It includes a smart contract, fast local tests, full integration tests, contract checks, a Next.js frontend, and deploy tools. You can use it to build, test, and launch faster with fewer mistakes, because you can catch problems early and verify the app works before deployment.
https://github.com/genlayerlabs/genlayer-project-boilerplate
11 851
#rust
ai-memory helps coding agents keep working without forgetting the plan, decisions, or failed tries between sessions. It saves notes in a simple markdown wiki, so the next agent can pick up the same task with a clear handoff. This saves time, avoids repeating setup, and makes it easier to continue work across different tools or days.
https://github.com/akitaonrails/ai-memory
