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 & Applications10 696...

📈 Analytical overview of Telegram channel GitHub Trends

Channel GitHub Trends (@githubtrending) in the English language segment is an active participant. Currently, the community unites 11 338 subscribers, ranking 10 696 in the Technologies & Applications category.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 11 338 subscribers.

According to the latest data from 25 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 225 over the last 30 days and by 6 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 5.87%. Within the first 24 hours after publication, content typically collects 2.76% reactions from the total number of subscribers.
Post reach: On average, each post receives 665 views. Within the first day, a publication typically gains 313 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 26 August, 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.

11 338

Subscribers

+624 hours

+517 days

+22530 days

665

Post views

~ 31324 hours

~ 40248 hours

5.87%

Engagement rate

~ 2

Posts per day

Ads index

beta

Posts Archive

11 338

#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

11 338

#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

11 338

#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

11 338

#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

11 338

#dart #android #exif #flutter #gallery #geotiff #gpx #metadata #metadata_explorer #motion_photos #mpf #slow_motion #svg #tiff #topojson #xmp Aves is an Android gallery app that also shows photo details and metadata. It helps you browse, search, and map media files like JPEGs, MP4s, TIFFs, SVGs, panoramas, 360° videos, and more, so you can find and understand your pictures and videos faster. https://github.com/deckerst/aves

11 338

#python #cli #consumer_gpu #dpo #fine_tuning #gguf #huggingface #llm #llmops #local_ai #local_llm #lora #low_vram #machine_learning #ollama #peft #python #pytorch #qlora #sft #transformers Soup is a tool that helps you fine-tune and post-train large language models with one command, using one config file and little setup. It can work on a local GPU, even a 4 GB laptop GPU for an 8B model with layer streaming, so you can train without SSH or cloud hassle. This saves time, reduces setup pain, and makes model training easier to start and manage. https://github.com/MakazhanAlpamys/Soup

11 338

#typescript #effect #framework #nodejs #plugin Meta-Framework of Spatiotemporal Composability https://github.com/cordiverse/cordis

11 338

#other This page is a guide list for using DeepSeek inside many AI tools and coding assistants, such as terminal apps, editor plugins, and desktop clients. It shows that you can set up DeepSeek in a few minutes, which helps you start coding or chatting with DeepSeek models faster and with less setup work. https://github.com/deepseek-ai/awesome-deepseek-agent

11 338

#typescript #agent #agent_harness #agent_os #agentic #ai #ai_agent #ai_agents #artificial_intelligence #claude_code #codex #electron #holaboss #holaos #llm #mcp #memory #model_context_protocol #runtime #typescript #workspace holaOS is a local-first desktop workspace that lets you run agents like Claude Code, Codex, or its built-in agent together with your tools, files, apps, and shared memory. It supports macOS, Windows, and Linux, includes built-in models or your own keys, and can help you get work done with real browser control, app automation, and ready-made files. This can save you time because one setup works across agents, keeps your context, and lets you produce useful results without switching systems. https://github.com/holaboss-ai/holaOS

11 338

#typescript #3d #ai_local #ai_tools #desktop_app #modly #open_source #self_hosted Modly is a desktop app for Windows, Linux, and Apple Silicon Mac that turns a photo into a 3D model using open source AI on your own GPU. It supports extra model and process extensions, lets you run workflows, and includes a CLI for automation. This helps you make 3D meshes locally, with more privacy, faster control, and no need for cloud services. https://github.com/lightningpixel/modly

11 338

#swift #ai #dictation #ios #llama_cpp #macos #swift FluidVoice is a free, open source macOS app that turns speech into text and can also control your Mac by voice. It works mostly on your Mac, so your voice and text stay private unless you choose cloud AI, and it supports fast dictation, live text preview, and optional smart formatting. https://github.com/altic-dev/FluidVoice

11 338

#rust Switchyard is a Rust proxy and library for LLM traffic that lets coding agents keep using their normal OpenAI or Anthropic API while requests are routed to different model backends and translated as needed. It can also split traffic for testing, measure latency and errors, and use custom routing rules, which helps you run or compare models more easily without changing your agent setup. https://github.com/NVIDIA-NeMo/Switchyard

11 338

#python #cactus #gemini #gemma #llm #on_device_ai Needle 2 is a very small tool-calling AI model that can run on low memory, work offline, and return structured results like JSON instead of free text. It helps you build apps that call tools, extract data, and fine-tune models more safely and easily, even on devices with limited RAM. https://github.com/cactus-compute/needle

11 338

#python #ai_agent #aippt #office #powerpoint #powerpoint_generation #ppt #pptx #presentation #slide #slides PPT Master is a free, open-source tool that turns PDFs, DOCX files, web pages, or text into a real, editable PowerPoint with native shapes, charts, tables, animations, and speaker notes. You run it locally with an AI tool, so your files stay on your machine and you avoid platform lock-in. The benefit to you is faster slide creation with a deck you can still edit in PowerPoint, instead of a flat image file. https://github.com/hugohe3/ppt-master

11 338

#rust #agent #ai #ai_agents #all_in_one #crm #crm_system #email #linear #mcp #messaging #notes #notion #office #rust #slack #slack_alternative #startup #startup_tools #typescript #workspace Macro is an all-in-one workspace for teams that combines email, chat, docs, tasks, CRM, calls, and agents in one fast place, with shared team memory and links between everything. The benefit for you is less app-switching, faster teamwork, and easier finding of the right message, file, or task when you need it. https://github.com/macro-inc/macro

11 338

#kotlin #agent #agentic_ai #agents #ai #ai_agents #aiagentframework #genai #generative_ai #java #kotlin #llms #multi_agents #multi_agents_orchestration #multi_agents_system #spring Embabel is a Java and Kotlin framework for building AI agents on the JVM with Spring, using typed goals, actions, and conditions instead of hard-coded prompt chains. It plans and replans at runtime, which helps you build more flexible, testable, and reusable agent flows while still fitting into existing enterprise code. The benefit to you is faster AI app development with stronger type safety, easier testing, and simpler use of LLMs, tools, and domain models in one system. https://github.com/embabel/embabel-agent

11 338

#html This tool helps you make clean, branded diagrams fast, with 27 diagram types and no need for Figma or design guesswork. It can read your website, copy your colors and fonts, and turn them into diagrams in about 60 seconds, so you save time and get visuals that match your brand. https://github.com/cathrynlavery/diagram-design

11 338

#typescript Paperclip is an open-source tool that helps you manage many AI agents like a company, with goals, roles, budgets, approvals, and audit logs. It lets you assign work, track costs, prevent runaway spending, and watch agents run from one dashboard, which saves time and gives you better control over automated work. https://github.com/paperclipai/paperclip

11 338

#c_lang Dopamine is a semi-untethered jailbreak for iOS 15 to 26(.0.1) https://github.com/opa334/Dopamine

11 338

#python Harvey LAB is an open-source benchmark that tests how well AI agents can do real legal work, not just answer legal questions. It gives each agent instructions, case documents, and a required work product, then scores the result with expert rubrics. LAB includes more than 1,200 tasks across 24 legal practice areas. This helps you compare models, check agent quality, and build better legal AI tools with a realistic standard. https://github.com/harveyai/harvey-labs