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 530
📈 Telegram kanali GitHub Trends analitikasi
GitHub Trends (@githubtrending) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 11 861 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 10 530-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 11 861 obunachiga ega bo‘ldi.
26 Oktabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 219 ga, so‘nggi 24 soatda esa 9 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 6.01% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining N/A% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 0 marta ko‘riladi; birinchi sutkada odatda 0 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 0 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 27 Oktabr, 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.
11 861
Obunachilar
+924 soatlar
+527 kun
+21930 kun
Postlar arxiv
11 862
#go
AgentsView helps you browse, search, and track costs for AI coding agents in one local app, with no accounts and data kept on your machine. It can quickly show token use, daily spend, session details, and searchable chat history across many agents, so you can save time, control costs, and find past work fast.
https://github.com/kenn-io/agentsview
11 862
#typescript #ai #ai_agents #ai_memory #anthropic #artificial_intelligence #claude #claude_agent_sdk #claude_agents #claude_code_plugin #claude_skills #codex #embeddings #long_term_memory #memory_engine #openclaw #openclaw_skills #postgres #rag
Hivemind is a shared memory system for coding agents that saves prompts, tool calls, and replies, then turns repeated patterns into reusable skills for the whole team. It can make agents faster and cheaper, improve recall, and help you search past work, reuse solutions, and keep team rules and goals in one place.
https://github.com/activeloopai/hivemind
11 862
#swift
`container` is a Mac tool for running Linux containers like light virtual machines, made for Apple silicon and using standard OCI images, so you can run, share, and move containers with common registry tools. It needs macOS 26 and Apple silicon, is installed with a signed package, and can be started or removed with simple commands; this helps you test apps locally, move them between systems, and manage them more easily.
https://github.com/apple/container
11 862
#python #csi #diy #esp_32 #espectre #home_assistant #motion_detection #wifi #wifi_sensing
ESPectre is a cheap motion sensor that uses Wi‑Fi signal changes on an ESP32, so you do not need cameras, microphones, or wearables, and it works with Home Assistant through ESPHome.[user text] Set it up in about 10–15 minutes with basic YAML, use your normal 2.4 GHz router, and place the sensor about 3–8 meters away for best results.[user text] This helps you add private, low-cost motion detection for security, lights, energy saving, or room monitoring.[user text]
https://github.com/francescopace/espectre
11 862
#python #bert #deepseek #healthcare #ios #llm #mlx #ner #on_device #on_premise #pii #pii_detection #qwen #sovereign_ai #swift #swift_package #swiftui
OpenMed is a local-first healthcare AI that runs on your own device or server, so patient data never leaves your network. It can extract medical entities, remove personal info, and use 1,000+ medical models in Python, Swift, or REST, which helps you work faster while keeping data private and avoiding cloud costs and vendor lock-in.
https://github.com/maziyarpanahi/openmed
11 862
#python #google #googlecloud #skills
This repository gives you ready-made Google Cloud skills you can install with `npx skills add google/skills`, including tools for Gemini, BigQuery, Cloud Run, Firebase, GKE, and Google Cloud best practices. It helps you learn and use Google products faster, with setup help, support, and open-source licensing so you can copy, change, and share the skills freely.
https://github.com/google/skills
11 862
#python #ai #apple_silicon #benchmarks #cli #command_line_tool #gguf #gpu #huggingface #inference #llm #local_llm #ollama #python #vram
whichllm helps you find the best local AI model that fits your computer, not just the biggest one that fits. It checks your GPU, CPU, and RAM, ranks models using real benchmark data, and can also simulate other hardware, plan upgrades, and start a chat with a model in one command. This saves you time and helps you pick a model that should run well and work better for your needs.
https://github.com/Andyyyy64/whichllm
11 862
#other #agent_skill_repository #agent_skills #agentic_skills #claude_code_marketplace #claude_code_plugins #claude_cowork_plugin #product_management
PM Skills Marketplace gives you a set of AI tools for product management, with 68 skills, 42 workflows, and 9 plugins for work like discovery, strategy, PRDs, launches, metrics, and shipping AI-built code. It helps you make better product decisions by turning proven PM methods into step-by-step actions, so you save time, stay organized, and get more useful results from AI.
https://github.com/phuryn/pm-skills
11 862
#php
This is a free, open-source online shop system for PHP 8.0+ and MySQL 5.6+, with many features like payments, product sales, sub-shops, memberships, referrals, and plugins. The main benefit to you is that you can quickly build and expand an online store or digital service site, but you must follow the law and not use it for illegal or unauthorized commercial sales.
https://github.com/lizhipay/acg-faka
11 862
#python #ann #avx512 #embedding #embeddings #faiss #nearest_neighbor #neon #python #quant #quantization #rag #rust #simd #turboquant #vector_search
turbovec is a fast, local vector search tool that stores large embedding sets in much less memory, can search faster than FAISS in many cases, and works with Python and Rust. It helps you build private RAG systems because data stays on your machine, while online adding, filtering, and stable IDs make it easier to grow, control, and update your index without retraining or rebuilding.
https://github.com/RyanCodrai/turbovec
11 862
#typescript
Tolaria is a free, open-source desktop app for macOS, Windows, and Linux that helps you manage markdown notes and knowledge bases with files stored locally and synced through Git. It works offline, avoids lock-in, and lets you keep your data portable and easy to use with any editor or AI tool, which means you stay in control of your notes and can organize them faster.
https://github.com/refactoringhq/tolaria
11 862
#rust #ai_pipelines #ai_workflows #durable_execution #durable_functions #durable_workflows #postgresql
This tool runs long SQL jobs inside PostgreSQL and saves progress after each step, so a crash, restart, or failed step does not force you to start over. It helps you replace extra workers, queues, cron jobs, and status tables with one SQL-based workflow, making background work simpler, more reliable, and easier to track in the same database as your data.
https://github.com/microsoft/pg_durable
11 862
#javascript #ai_agent #anthropic #automation #career #careerops #claude #claude_code #cli #golang #interview_prep #job_search #open_source #resume
Career-Ops is an open-source tool that uses AI to help you search for jobs more wisely, not more blindly. It scans job sites, scores roles, makes tailored CV PDFs, tracks applications, and helps you focus only on the best matches, saving time and improving your chances.
https://github.com/santifer/career-ops
11 862
#rust
MXC is a sandbox system that runs untrusted code safely on Windows, Linux, and macOS with shared JSON settings and a TypeScript SDK. It helps you control files, network access, and UI use while giving you a safer way to test or run code; this can protect your computer and make automation easier to build. The project is still early preview, so its security rules are not yet final and should not be treated as fully trusted security boundaries.
https://github.com/microsoft/mxc
11 862
#typescript
Flue is a TypeScript framework for building autonomous AI agents that run headless, with no GUI, and work across Node.js, Cloudflare, CI, and other environments. It uses a built-in harness, sessions, sandboxes, skills, and Markdown-based agent logic, so you can build and deploy agents with less code and get faster, more scalable, reusable agents for tasks like support, coding, and triage.
https://github.com/withastro/flue
11 862
#python #ai #chromadb #llm #mcp #memory #python
MemPalace is a local AI memory tool that saves your chats as exact text, then finds useful parts with search, so nothing leaves your machine unless you choose it. It is free, open source, MIT-licensed, and works with Python 3.9+, ChromaDB, and local tools like Claude Code. The main benefit is safer, private, and more reliable memory for your projects, with no required API calls or cloud fees.
https://github.com/MemPalace/mempalace
11 862
#javascript
This text says the repo has sample Codex plugins stored in `plugins/<name>/`, each with a required plugin manifest and optional extra files for skills, app settings, MCP, agents, commands, hooks, and assets. It also highlights example plugins for design, notes, iOS, macOS, web, Expo, Netlify, Remotion, and Google Slides, so you can quickly find a template that fits your project and reuse it to build faster.
https://github.com/openai/plugins
11 862
#python #agent_infrastructure #ai_agent #ai_search #automation #bilibili #claude_code #cli #cursor #free_api #llm_tools #mcp #python #reddit_scraper #twitter_scraper #web_scraper #xiaohongshu #youtube_transcript
Agent Reach helps your AI agent get internet access fast, so it can read webpages, YouTube, Reddit, Twitter/X, GitHub, RSS, and more with simple commands. It is free, open source, privacy-focused, and works with many agents that can run terminal commands. This saves you time because you do not need to set up each site by hand, and your agent can start finding, reading, and summarizing online content for you in minutes.
https://github.com/Panniantong/Agent-Reach
11 862
#csharp
OpenClaw Windows Hub is a Windows app that connects your PC to the OpenClaw AI assistant, giving you quick chat, status, updates, diagnostics, and a tray menu for control. It also helps you send messages fast with a hotkey, manage channels, and use your computer as a controllable node for tasks like screen capture, camera, speech, and commands. The benefit is simpler, faster control of OpenClaw from Windows, with better setup, debugging, and automation in one place.
https://github.com/openclaw/openclaw-windows-node
11 862
#java
GitHub Copilot SDKs let you add Copilot’s agent features to your app in Python, TypeScript, Go, .NET, Java, and Rust, so you do not need to build planning, tool use, or file editing yourself. This helps you build AI-powered apps faster, use supported authentication options or your own API keys, and start with ready-made guides for setup and use.
https://github.com/github/copilot-sdk
