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不要被骗子欺骗!Telemetrio 会找到并标记这些频道 👉 如果想查看标记,请订阅

GitHub Trends

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

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未指定国家技术与应用10 533

📈 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 11 871 名订阅者,在 技术与应用 类别中位列第 10 533。

📊 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 11 871 名订阅者。

根据 28 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 227,过去 24 小时变化为 8,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 6.06%。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 29 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。

11 871
订阅者
+824 小时
+587 天
+22730 天
帖子存档
#typescript #ai #ai_agents #llms #on_device_ai Thunderbolt is an open-source AI client you control fully—you pick models like Ollama or llama.cpp, own your data, and avoid vendor lock-in. It runs on web, iOS, Android, Mac, Linux, and Windows, with enterprise features for on-prem deployment. Still early (needs your model providers and optional backend), but self-host via Docker to test. This benefits you by giving private, flexible AI access anywhere without big-tech dependency, cutting costs and risks. https://github.com/thunderbird/thunderbolt

#cuda DeepGEMM is a high-performance library that speeds up matrix calculations for large language models using NVIDIA GPUs. It combines key computation tools—including FP8 and FP4 matrix operations, expert systems (MoE), and attention scoring—into one efficient CUDA codebase. All kernels compile automatically at runtime without requiring manual CUDA setup during installation. The benefit to you is faster AI model training and inference: DeepGEMM's performance matches or exceeds specialized libraries across different matrix sizes, achieving up to 1550 TFLOPS on high-end GPUs, while remaining simple and accessible for learning GPU optimization techniques. https://github.com/deepseek-ai/DeepGEMM

#shell I appreciate your request, but I notice a mismatch would you like me to summarize the Claude Desktop for Linux information you provided in your message, or would you prefer a response based on the open-source contribution search results? Please let me know which content you'd like me to focus on, and I'll provide a concise one-paragraph summary in simple English with clear benefits explained. https://github.com/aaddrick/claude-desktop-debian

#typescript T3 Code is a simple web GUI for coding agents like Codex and Claude. Run it instantly with `npx t3`, or install the desktop app via winget (Windows), brew (macOS), or yay (Arch Linux)—but first authenticate a provider like Codex CLI or Claude. It's early with bugs, no contributions yet; join Discord for support. You benefit by quickly coding with AI agents in a minimal interface, skipping complex setups for faster, easier development. https://github.com/pingdotgg/t3code

#typescript Craft Agents is a free, open-source desktop app for easy AI agent work with Claude and others. Install in one line, connect APIs like Slack or Gmail by just telling it—no setup hassle. It supports multitasking, sharing sessions, custom skills, and automations in a smooth UI. Run headless on servers too. You benefit by saving hours on configs, boosting productivity with intuitive tools for powerful AI tasks anytime. https://github.com/lukilabs/craft-agents-oss

#python #ai_sre #alerting #datadog #grafana #incident_management #observability #remediation #root_cause_analysis #site_reliability_engineering #slack #sre OpenSRE is a free open-source tool to build AI agents that fix production issues fast. It connects to 40+ tools like Kubernetes, Datadog, Slack, and LLMs, then auto-fetches alerts, analyzes logs/metrics/traces, finds root causes with evidence, suggests fixes, and posts updates. Install easily with one command, run tests, and customize workflows on your infrastructure. This saves you hours on incident debugging, cuts downtime, and predicts failures—letting you focus on building instead of firefighting. https://github.com/Tracer-Cloud/opensre

#shell This Claude Code skill decompiles Android APK, XAPK, JAR, and AAR files to extract HTTP APIs like Retrofit endpoints, OkHttp calls, hardcoded URLs, and auth patterns, plus traces call flows and analyzes obfuscated code. Install via GitHub in Claude Code with simple commands, then use "/decompile app.apk" or natural phrases. It benefits you by letting you document and reproduce app APIs without source code, speeding up security research, malware analysis, or interoperability testing legally. https://github.com/SimoneAvogadro/android-reverse-engineering-skill

#javascript Evolver is a free MIT-licensed Node.js tool (needs Git and Node >=18) that analyzes AI agent logs in your memory folder, picks the best evolution genes, and generates secure GEP prompts to fix errors or improve prompts automatically. Clone the repo, run `npm install` then `node index.js` (or `--loop` for continuous mode), and it works offline or connects to evomap.ai for shared skills and leaderboards. This benefits you by turning random prompt fixes into reusable, traceable assets that make your AI agents more reliable, stable, and evolvable without manual tweaks or code changes. https://github.com/EvoMap/evolver

#python DFlash is a lightweight block diffusion model that speeds up large language models like Qwen3.5 and Llama through speculative decoding, generating draft tokens in parallel for over 6x faster inference with no quality loss—up to 2.5x better than top methods. It supports easy integration with vLLM, SGLang, Transformers, or MLX via simple installs and commands, with ready models on Hugging Face. You benefit by running quicker AI generation on your hardware, boosting throughput to ~430 tokens/second and GPU use over 90% for efficient tasks like math or coding. https://github.com/z-lab/dflash

#go #cli #go #whatsapp wacli is a command-line tool for WhatsApp that syncs your message history locally, lets you search chats fast offline, send texts/files, and manage contacts/groups. Install easily via `brew install steipete/tap/wacli` or build with Go, then auth with a QR code, sync with `wacli sync --follow`, search via `wacli messages search "keyword"`, and send like `wacli send text --to number --message "hi"`. It benefits you by enabling quick offline access to full chat history, easy media downloads, and efficient terminal-based messaging without opening the app. https://github.com/steipete/wacli

#shell #ai_agents #ai_assisted_development #anthropic #claude #claude_code #game_design #game_development #gamedev #godot #indie_game_dev #unity #unreal_engine Claude Code Game Studios turns one Claude Code session into a full game dev team with 49 specialized agents, 72 skills, 12 hooks, and 11 rules for engines like Godot, Unity, and Unreal. Use slash commands like `/start`, `/brainstorm`, or `/dev-story` for design, coding, QA, and release—agents ask questions, show options, and get your approval to stay organized. You benefit by building games solo with pro structure, catching errors early, and shipping faster without chaos. https://github.com/Donchitos/Claude-Code-Game-Studios

#python #ai_agent #automation #autonomous_agent #browser_automation #claude #computer_control #desktop_automation #gemini #lightweight #llm_agent #memory_system #python #self_evolving #skill_tree #task_automation GenericAgent is a simple 3K-line AI agent framework that controls your computer—browser, files, mouse, screen, and phone—with just 9 tools and a 100-line loop. It learns from tasks like ordering food, checking stocks, or sending messages, saving them as reusable skills that grow into your unique skill tree over time. Install easily with git clone, pip, and an API key, then launch. This saves you hours on repetitive work, automates personal tasks, and builds smarter help tailored just for you. https://github.com/lsdefine/GenericAgent

#typescript #agent #agents #ai #background_agents Open Agents is an open-source tool that lets you build AI coding agents running on Vercel. It separates the agent logic from the sandbox environment, meaning the AI runs outside the virtual machine and controls it through commands like file edits and shell operations. This architecture gives you flexibility—the agent isn't tied to a single request, sandboxes can pause and resume independently, and you can swap AI models or sandbox implementations without rebuilding everything. You get chat-driven coding with file tools, durable multi-step execution, isolated sandboxes, GitHub integration for cloning and creating pull requests, and optional voice input. The benefit is a scalable, modular system you can fork and customize for your own background coding agent needs without managing your laptop. https://github.com/vercel-labs/open-agents

#jupyter_notebook This free tutorial series teaches hands-on large model skills like fine-tuning, prompting, math reasoning, jailbreaks, agents, and safety alignment, with slides, guides, code notebooks, and new Huawei Ascend courses (PPTs, videos) for full development workflows. You'll quickly master AI models through simple practices, boosting your course projects, research, or career in large language models. https://github.com/Lordog/dive-into-llms

#python #ai #deep_learning #filetype #keras_classification_models #keras_models #mime_types #onnx Magika is a fast AI tool from Google that detects file types with ~99% accuracy across 200+ formats, using a tiny model that works in milliseconds on one CPU. Install easily via pip, brew, or scripts for CLI/Python/JS/Go use; scan files, directories, or streams with options like JSON output or recursion. It boosts your safety by routing files to scanners, like in Gmail/Drive, helping spot threats quickly without size limits. https://github.com/google/magika

#cplusplus #hap #mid_360 #ros #ros2 Livox ROS Driver 2 connects your Livox LiDARs like HAP and Mid360 to ROS (Noetic) or ROS2 (Foxy/Humble/Jazzy) on matching Ubuntu versions. Clone the repo in a workspace/src folder, build Livox-SDK2, then run ./build.sh with your ROS version, and launch with roslaunch or ros2 launch files from launch_ROS1/ROS2 folders—edit JSON configs for IP, ports, frequency (up to 100Hz), and formats. This lets you quickly test and visualize point clouds in RViz for robotics development, saving time on setup and debugging. https://github.com/Livox-SDK/livox_ros_driver2

#python #android #android_apps #f_droid #foss #free_and_op #free_and_open_source #izzyondroid #open_source #opensource This list offers free open-source Android apps for every need—from browsers, cameras, and music players to games, tools, and F-Droid stores like Neo-Store. Get them via F-Droid or IzzyOnDroid for no ads or tracking. It boosts your privacy and freedom by ditching Google apps, letting you control your data and phone fully. https://github.com/offa/android-foss

#typescript #ai #cuda #mlx #qwen3_tts #qwen3_tts_ui #voice_ai #voice_clone #whisper Voicebox is a free, open-source voice synthesis studio that lets you clone voices, generate speech in 23 languages, and apply audio effects—all running privately on your computer. You can create realistic voice clones from just seconds of audio, use five different text-to-speech engines for different needs, add effects like reverb and pitch shift, and build multi-voice projects with a timeline editor. The key benefit is complete privacy: your voice data and AI models never leave your machine, unlike cloud-based alternatives. It also includes an API for building voice-powered applications and works across Mac, Windows, and Linux with GPU acceleration support. https://github.com/jamiepine/voicebox

#typescript Ralph is an autonomous AI agent that loops coding tools like Amp or Claude Code to fully implement your project's Product Requirements Document (PRD) by tackling one small user story per fresh iteration, using git history, progress.txt, and prd.json for memory. Setup is simple: install prerequisites, copy scripts or skills to your repo, generate a PRD, convert to JSON, then run `./scripts/ralph/ralph.sh` for up to 10 iterations until all tasks pass checks and complete. This saves you hours of manual coding on greenfield features, delivering working code reliably with minimal supervision. https://github.com/snarktank/ralph

#c_lang #aarch64 #arm #arm64 #bios #boot_loader #boot_manager #bootloader #efi #gpt #loongarch #loongarch64 #loongson #mbr #risc_v #riscv #riscv64 #uefi #x64 #x86 #x86_64 Limine is a modern bootloader that boots Linux and other OSes on x86, ARM64, RISC-V, and LoongArch64 hardware, supporting MBR/GPT partitions and FAT/ISO filesystems on 32-bit Pentium Pro+ or 64-bit systems. Get binaries via Git (e.g., `git clone --branch=v11.x-binary`), build tools with `make`, and join Matrix/Fluxer chats for help. This lets you easily manage and boot multiple OSes with a clean menu, saving time on custom PC or server setups. https://github.com/Limine-Bootloader/Limine