GitHub Trends

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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

The country is not specifiedTechnologies & Applications11 561...

📈 Analytical overview of Telegram channel GitHub Trends

Channel GitHub Trends (@githubtrending) in the English language segment is an active participant. Currently, the community unites 10 760 subscribers, ranking 11 561 in the Technologies & Applications category.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 10 760 subscribers.

According to the latest data from 05 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 207 over the last 30 days and by 1 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 5.52%. Within the first 24 hours after publication, content typically collects 2.81% reactions from the total number of subscribers.
Post reach: On average, each post receives 594 views. Within the first day, a publication typically gains 302 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
Thematic interests: Content is focused on key topics such as linux, workflow, setup, claude, command.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“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”

Thanks to the high frequency of updates (latest data received on 06 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

10 760

Subscribers

+124 hours

+427 days

+20730 days

594

Post views

~ 30224 hours

~ 40048 hours

5.52%

Engagement rate

~ 3

Posts per day

Ads index

beta

Posts Archive

10 760

#python #agent #ai_agents #memory #memoryscope #rag #reme ReMe is a memory toolkit for AI agents with file-based (Markdown files for easy editing) and vector-based systems to fix limited context and stateless chats. It auto-summarizes talks, saves key facts like preferences, and recalls them next time using hybrid search. Install via `pip install reme-ai`, set API keys, and use ReMeCli or Python code for smart agents. You benefit by building persistent, learning agents that remember your needs, work faster on repeat tasks, and feel more natural without starting over. https://github.com/agentscope-ai/ReMe

10 760

#python #agent #chatbot #large_language_models #llm #llm_agent #mcp #multi_agent #multi_modal #react_agent AgentScope is a simple, production-ready framework to build AI agents fast. Install with `pip install agentscope` (Python 3.10+), then create ReAct agents with tools, memory, voice, human steering, multi-agent workflows, and finetuning in 5 minutes. It supports realtime voice, A2A protocols, RL training, and easy deployment locally, in cloud, or Kubernetes. You benefit by quickly making robust, scalable agents for tasks like games, research, or chats without complex coding, saving time and enabling real-world apps. https://github.com/agentscope-ai/agentscope

10 760

#shell ESP-CSI uses Wi-Fi Channel State Information (CSI) on all ESP32 chips to sense breathing, chewing, walking, or other movements without contact or extra hardware. You get rich data like signal phase and amplitude for smart monitoring, activity detection, positioning, and AI apps, with easy OTA upgrades, BLE help, and examples for quick starts like radar or cloud uploads—saving costs while boosting your IoT projects' accuracy and reliability. https://github.com/espressif/esp-csi

10 760

#python #agent_skills #ai_scientist #bioinformatics #chemoinformatics #claude #claude_skills #claudecode #clinical_research #computational_biology #data_analysis #drug_discovery #genomics #materials_science #metabolomics #proteomics #scientific_computing #scientific_visualization Claude Scientific Skills offers 148+ ready-to-use tools for AI agents like Cursor or Claude Code, covering biology, chemistry, drug discovery, clinical research, ML, and 250+ databases (PubMed, ChEMBL, etc.). Easy setup: clone the GitHub repo and copy folders to your skills directory for automatic use in complex workflows like single-cell analysis or virtual screening. You save days on setup, get reliable code, and run multi-step science faster on your desktop. https://github.com/K-Dense-AI/claude-scientific-skills

10 760

#visual_basic_.net #dism #gui #sysadmin #windows DISMTools is a free, open-source graphical tool that simplifies managing Windows images and installations using DISM commands. It offers project-based workflows, online/offline modes, AppX handling, ISO creation, and repairs without reinstalling Windows, working on Windows 8.1+ with great speed. You benefit by easily customizing, fixing, and optimizing systems or creating automated setups, saving time over complex command lines and avoiding paid tools. https://github.com/CodingWonders/DISMTools

10 760

#go #2api #antigravity2api #cc2api #claude #claude_code #codex #crs #crs2 #gemini Sub2API is an open-source AI API gateway that shares quotas from subscriptions like Claude Code ($200/month) across users via generated API keys. It manages multiple accounts, tracks token usage for precise billing, balances loads smartly, limits concurrency/rates, and offers an admin dashboard. Easy deployment via one-click script or Docker on Linux with PostgreSQL/Redis. You benefit by cutting AI costs through efficient sharing, accessing services seamlessly with native tools, and self-hosting for secure, scalable control without vendor lock-in. https://github.com/Wei-Shaw/sub2api

10 760

#python #mcp #mcp_server #open_data #opendata Data.gouv.fr MCP Server lets AI chatbots like Claude or ChatGPT search, explore, and analyze over 74,000 French open datasets via simple questions, such as "Show latest Paris population data" or "Find real estate prices," without manual browsing. Connect easily to the free public endpoint https://mcp.data.gouv.fr/mcp—no API key needed. You benefit by getting instant, accurate access to public data like company info, metrics, and resources, saving time on research or apps and enabling quick insights from France's top-ranked open data platform. https://github.com/datagouv/datagouv-mcp

10 760

#typescript #agentic_ai #ai_agents #claude_code #cli #codex #coding_agents #cursor_agent #desktop_app #developer_tools #electron #git_worktree #llm #mcp #opencode #orchestration #parallel_agents #terminal #tui #vibe_coding #worktrees Superset is a turbocharged macOS terminal for running 10+ CLI coding agents like Claude Code, Cursor, and GitHub Copilot in parallel. It isolates tasks in separate Git worktrees to avoid interference, lets you monitor progress from one dashboard, review changes with a built-in diff viewer, and switch contexts quickly. You benefit by coding 10x faster, shipping more without context-switching delays or conflicts, saving time on development workflows. https://github.com/superset-sh/superset

10 760

#python Hermes Agent is a free, open-source AI that installs on your server, learns your projects and preferences over time, and handles tasks via Telegram, Discord, Slack, WhatsApp, or terminal. It builds reusable skills from solved problems, runs scheduled automations like daily reports, and uses secure sandboxes (Docker/SSH) for safe code execution with any AI model. You benefit by getting a smart, growing assistant that automates work, remembers everything, and stays reachable anywhere—saving hours on repetitive tasks while boosting productivity. https://github.com/NousResearch/hermes-agent

10 760

#python #agent #android #app #automation #copilot #gui #mllm #mobile #mobile_agents #multimodal #multimodal_agent #multimodal_large_language_models Mobile-Agent-v3.5 is Alibaba's top GUI agent family using GUI-Owl 1.5 models (2B to 235B sizes) for automating desktop, mobile, and browser tasks like stock checks, bookings, or document creation with planning, reflection, and memory. Try free online demos on ModelScope or Bailian, or use limited-time APIs—no setup needed. It leads 20+ benchmarks for real-world use. You benefit by saving time on repetitive tasks, boosting productivity, and handling complex operations hands-free across devices. https://github.com/X-PLUG/MobileAgent

10 760

#typescript #fingerprinting #playwright #puppeteer #scraping #typescript Fingerprint-suite is a toolkit that generates and injects realistic browser fingerprints into automated browsers like Playwright and Puppeteer. It includes four modular packages: header-generator for HTTP headers, fingerprint-generator for browser fingerprints, fingerprint-injector for injection, and a Bayesian network for realistic fingerprint creation. Since websites increasingly use fingerprinting to track and identify users, this tool helps your web scrapers avoid detection by mimicking real browser behavior. You can customize fingerprints by device type and operating system, making your automated browsing appear completely legitimate to anti-bot systems. https://github.com/apify/fingerprint-suite

10 760

#python #ai #ai_agent #ai_infra #kubernetes #sandbox OpenSandbox is a general-purpose sandbox platform that lets you safely run AI applications, code, and agents in isolated environments. It provides multi-language SDKs for Python, Java, and JavaScript, making it easy to integrate into your projects. The platform supports Docker and Kubernetes runtimes, so you can run sandboxes locally or at scale. Key benefits include running code generated by AI models safely, executing data analysis, automating browser tasks, and training AI systems without risking your main system. Whether you're building coding agents, testing applications, or letting AI handle complex tasks, OpenSandbox gives you a secure, controlled space to experiment and execute code without side effects. https://github.com/alibaba/OpenSandbox

10 760

#typescript #ai_tools #claude_code #codex #desktop_app #kimi_k2_thiking #mcp #minimax #open_source #opencode #provider_management #rust #skills #skills_management #tauri #typescript #wsl_support CC-Switch is a free desktop app (v3.10.2) for Windows, macOS, and Linux that lets you easily switch API providers, manage MCP servers, install Claude skills, and edit prompts for Claude Code, Codex, and Gemini CLI tools. It offers speed tests, auto-backups, cloud sync, and sponsor discounts up to 66% off APIs. This saves you time from manual config edits, picks the fastest services, and boosts coding productivity with seamless AI tool management. https://github.com/farion1231/cc-switch

10 760

#typescript #agent #agent_development #ai_agent #claude #claude_code #educational #llm #python #teaching #tutorial Claude Code is an AI agent framework that uses a simple loop: send messages to Claude, check if it needs tools, execute those tools, and repeat. The benefit is that you can build powerful autonomous agents by layering one feature at a time—from basic tool use to multi-agent teams—without rewriting the core loop. This modular approach lets you start simple with bash commands and scale to complex workflows with planning, skill loading, background tasks, and team coordination, making it easier to automate development work and delegate entire projects to AI agents. https://github.com/shareAI-lab/learn-claude-code

10 760

#typescript #agent #agentic #agentic_framework #agentic_workflow #ai #ai_agents #bytedance #deep_research #harness #langchain #langgraph #langmanus #llm #multi_agent #nodejs #podcast #python #superagent #typescript DeerFlow 2.0 is an open-source super agent harness that orchestrates multiple sub-agents, memory systems, and sandboxed execution environments to accomplish complex tasks. Built on LangGraph and LangChain, it combines research, coding, and content creation capabilities with extensible skills and tools. The platform features isolated Docker containers for safe execution, long-term memory that learns your preferences, and the ability to spawn sub-agents that work in parallel on different task angles. You benefit from dramatically reduced research and automation time—tasks that typically take hours complete in minutes—while maintaining full transparency and control over agent decisions through human-in-the-loop collaboration. Whether you need deep research reports, data analysis, slide decks, or custom workflows, DeerFlow handles multi-step complexity without requiring extensive coding knowledge. https://github.com/bytedance/deer-flow

10 760

#javascript #ai #algorithm #artificial_intelligence #chatgpt #claude #cursor #deep_learning #deepseek #gemini #generative_ai #gpt #llm #mcp #openai #python #rag #vibe_coding #vibecoding #vue #vuepress 鱼皮的 AI知识库 offers a free Vibe Coding tutorial for beginners, teaching AI-powered programming with natural language prompts to build and monetize apps fast—no coding skills needed. It covers tools, projects, tips, and paths like making your first work in 10 minutes, plus AI guides on DeepSeek, Cursor, and more. You benefit by quickly creating profitable products, breaking tech barriers, and enjoying AI perks to improve life and work. Start at ai.codefather.cn/vibe. https://github.com/liyupi/ai-guide

10 760

#rust #ai_gateway #ai_gateway_support #envoy #envoyproxy #gateway #generative_ai #llm_gateway #llm_inference #llm_proxy #llm_routing #llmops #llms #openai #prompt #proxy #proxy_server #routing Plano is an AI-native proxy server that handles key tasks for agentic apps like routing between agents, smart LLM model selection, safety guardrails, and automatic traces for observability. Define agents in simple YAML, write basic HTTP code in any language, and start Plano to run multi-agent systems without custom plumbing or framework lock-in. You benefit by building and shipping reliable agents to production much faster, focusing on core logic while gaining safety, low latency, and easy scaling. https://github.com/katanemo/plano

10 760

#python #ai #ai_scraping #automation #crawler #crawling #crawling_python #data #data_extraction #mcp #mcp_server #playwright #python #scraping #selectors #stealth #web_scraper #web_scraping #web_scraping_python #webscraping #xpath Scrapling is a fast Python web scraping tool that fetches pages, bypasses anti-bot blocks like Cloudflare, and adapts to site changes by auto-finding elements. Use simple CSS/XPath selectors, spiders for big crawls with pause/resume, proxy rotation, and CLI—no code needed sometimes. Install via pip; it's memory-light and beats others in speed. You save time fixing broken scrapers, scrape reliably at scale, cut costs with AI tools, and focus on using data for leads, prices, or research. https://github.com/D4Vinci/Scrapling

10 760

#python PersonaLive creates real-time portrait animations from a single image, using driving videos for expressive faces and head moves. It runs on a 12GB GPU for infinite-length videos, with easy web UI for live streaming or offline generation, plus ComfyUI and TensorRT speed boosts. You get smooth, high-quality animations fast for streams, content, or art—up to 22x quicker than others, saving time and hardware costs. https://github.com/GVCLab/PersonaLive

10 760

#rust #ai #ai_ocr #attention_mechanism #gnn #gnn_model #gnns #graph #graph_neural_networks #llm_inference #low_latency #mincut #neo4j #ocr #onnx #rust #vector #wasm RuVector is a free, open-source vector database that gets smarter with every query. Unlike static databases, it learns from usage via GNN layers, runs LLMs locally with no cloud costs, supports graph queries like Neo4j, scales freely across nodes, and deploys as a single self-booting file (125ms startup). Run with `npx ruvector`. You benefit from faster, more accurate AI search that improves automatically, zero operating costs, full offline/privacy control, and easy scaling—perfect for RAG, agents, or edge apps without vendor lock-in. https://github.com/ruvnet/ruvector