اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
GitHub Trends
رفتن به کانال در 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
نمایش بیشترکشور مشخص نشده استفناوری و برنامهها11 573
📈 تحلیل کانال تلگرام GitHub Trends
کانال GitHub Trends (@githubtrending) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 10 755 مشترک است و جایگاه 11 573 را در دسته فناوری و برنامهها دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 10 755 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 04 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 207 و در ۲۴ ساعت گذشته برابر 11 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 5.50% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 2.85% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 591 بازدید دریافت میکند. در اولین روز معمولاً 307 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 1 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند linux, workflow, setup, claude, command تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“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”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 05 ژوئن, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
10 755
مشترکین
+1124 ساعت
+437 روز
+20730 روز
آرشیو پست ها
10 755
#typescript #agent #agentic_rag #ai_coding #claude_code #code_generation #code_search #cursor #embedding #gemini_cli #mcp #merkle_tree #nodejs #openai #rag #semantic_search #typescript #vector_database #vibe_coding #voyage_ai #vscode_extension
Claude Context is a plugin that adds semantic code search to Claude Code and other AI tools, using your full codebase as context via a vector database like Zilliz Cloud. It finds relevant code instantly with natural language queries, indexes efficiently (only changed files), and cuts token use by ~40% for the same quality. You save costs on large projects, get precise results without loading whole files, and code faster with deep, relevant context across millions of lines. Setup needs free Zilliz/OpenAI keys and Node.js 20+; works with VS Code, Cursor, and more.
https://github.com/zilliztech/claude-context
10 755
#logos #downloader #ios #jailbreak #sponsorblock #tweak #youtube
YouTube Plus enhances the iOS YouTube app with over 100 options like downloading videos/audio/thumbnails, copying info, customizing interfaces (remove feeds, OLED mode), player gestures, built-in SponsorBlock, and tweaks for 4K, PiP, dislikes, and quality selector. Build your custom version via GitHub Actions using a decrypted YouTube IPA—fork the repo, run the workflow, select tweaks, and download from releases (last free v5.2b4). This gives you a tailored, ad-free experience with premium features for better viewing and saving content.
https://github.com/dayanch96/YTLite
10 755
#shell #ad_blocker #blocker #cloud #dashboard #dhcp #dhcp_server #dns_server #dnsmasq #pi_hole #raspberry_pi #shell
Pi-hole blocks ads and unwanted content network-wide on your Linux device without installing software on each gadget. It installs in under 10 minutes, works on apps and TVs, speeds up browsing by caching queries, and offers a web dashboard for stats and control. Use its DHCP to auto-protect all devices. You gain faster, cleaner internet, better privacy, and full control—free and open-source.
https://github.com/pi-hole/pi-hole
10 755
#typescript #ai #dashboard #geopolitics #monitoring #news #opensource #osint #palantir #situation
World Monitor is an AI-powered dashboard that aggregates 435+ news feeds, tracks geopolitics, markets, military, infrastructure, and more on interactive 3D/flat maps with risk scores and correlations, available in 5 variants (world, tech, finance, commodity, happy) as web apps or native downloads for Windows, macOS, and Linux—all free for personal use under AGPL-3.0 and runnable locally with Ollama. It gives you real-time global situational awareness in one unified view, helping you quickly spot risks, trends, and opportunities without scattered sources.
https://github.com/koala73/worldmonitor
10 755
#python #bloomberg_terminal #contributions_welcome #finance #financial_markets #foss #good_first_issue #help_wanted #investing #investment #investment_research #machine_learning #opensource #python #quantitative_finance #stock_market #stocks
Fincept Terminal v4.0.2 is a free, open-source (AGPL-3.0) native C++20 desktop app with Qt6 UI and Python analytics, offering CFA-level tools like DCF models, portfolio optimization, risk metrics, 37 AI agents (Buffett-style to geopolitics), 100+ data connectors (Yahoo, FRED, brokers), real-time crypto/equity trading via 16 brokers, QuantLib suite, node editor workflows, and global intelligence. Download installers for Windows, Linux, macOS from GitHub releases or build easily with scripts/Docker. It benefits you by delivering Bloomberg-class performance in one fast binary, unlimited data access, and pro analytics to boost trading decisions and research without limits or high costs.
https://github.com/Fincept-Corporation/FinceptTerminal
10 755
#html
ArcKit is an AI toolkit for enterprise architects. It creates structured workflows for governance, requirements, risks, data models, vendor RFPs, diagrams, and UK government compliance like GDS and GDPR. Install via Claude Code plugin, Gemini CLI, or pip, then use commands like `/arckit.requirements` or `/arckit.risk`. This saves weeks of manual work, enforces traceability, reduces errors, and produces audit-ready docs—helping you deliver better projects faster with less scattered files.
https://github.com/tractorjuice/arc-kit
10 755
#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
10 755
#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
10 755
#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
10 755
#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
10 755
#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
10 755
#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
10 755
#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
10 755
#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
10 755
#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
10 755
#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
10 755
#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
10 755
#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
10 755
#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
10 755
#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
