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
Mostrar másEl país no está especificadoTecnologías y Aplicaciones10 696
📈 Análisis del canal de Telegram GitHub Trends
El canal GitHub Trends (@githubtrending) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 11 338 suscriptores, ocupando la posición 10 696 en la categoría Tecnologías y Aplicaciones.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 11 338 suscriptores.
Según los últimos datos del 25 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 225, y en las últimas 24 horas de 6, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 5.87%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.76% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 665 visualizaciones. En el primer día suele acumular 313 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 1.
- Intereses temáticos: El contenido se centra en temas clave como linux, workflow, setup, claude, command.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“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”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 26 agosto, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
11 338
Suscriptores
+624 horas
+517 días
+22530 días
Archivo de publicaciones
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
