#shell #awesome #awesome_list #bash
You can use Bash scripts to automate repetitive tasks on your computer, like managing files, updating software, or running system maintenance, which saves you time and reduces errors. Bash scripting is easy to learn even without programming experience because it uses simple commands you already know from the terminal. There are many resources, tools, and ready-made scripts available to help you customize your command line, improve productivity, and develop your own scripts. This makes working with your system faster, more efficient, and less prone to mistakes. Plus, you can schedule scripts to run automatically whenever you want.
https://github.com/awesome-lists/awesome-bash
You can use Bash scripts to automate repetitive tasks on your computer, like managing files, updating software, or running system maintenance, which saves you time and reduces errors. Bash scripting is easy to learn even without programming experience because it uses simple commands you already know from the terminal. There are many resources, tools, and ready-made scripts available to help you customize your command line, improve productivity, and develop your own scripts. This makes working with your system faster, more efficient, and less prone to mistakes. Plus, you can schedule scripts to run automatically whenever you want.
https://github.com/awesome-lists/awesome-bash
GitHub
GitHub - awesome-lists/awesome-bash: A curated list of delightful Bash scripts and resources.
A curated list of delightful Bash scripts and resources. - awesome-lists/awesome-bash
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#go #game_engine #game_engine_2d #game_engine_3d #game_engine_development #game_engine_framework #gameengine #go #golang
Kaiju Engine is a fast, modern 2D/3D game engine written in Go and powered by Vulkan, designed for simplicity and high performance. It runs on Windows, Linux, Android, and is working on Mac support. Kaiju offers much faster rendering speeds and lower memory use than popular engines like Unity, making game development quicker and more efficient. It uses Go’s garbage collector to help prevent common programming errors, improving stability. You can write games directly in Go, and the engine supports local AI integration and a flexible UI system using HTML/CSS. Although the editor is still in development, the engine itself is production-ready, offering a powerful tool for developers who want speed and simplicity.
https://github.com/KaijuEngine/kaiju
Kaiju Engine is a fast, modern 2D/3D game engine written in Go and powered by Vulkan, designed for simplicity and high performance. It runs on Windows, Linux, Android, and is working on Mac support. Kaiju offers much faster rendering speeds and lower memory use than popular engines like Unity, making game development quicker and more efficient. It uses Go’s garbage collector to help prevent common programming errors, improving stability. You can write games directly in Go, and the engine supports local AI integration and a flexible UI system using HTML/CSS. Although the editor is still in development, the engine itself is production-ready, offering a powerful tool for developers who want speed and simplicity.
https://github.com/KaijuEngine/kaiju
GitHub
GitHub - KaijuEngine/kaiju: General purpose 3D and 2D game engine using Go (golang) and Vulkan with built in editor
General purpose 3D and 2D game engine using Go (golang) and Vulkan with built in editor - KaijuEngine/kaiju
#python
You can access a free, detailed global dataset called the Global Building Atlas, which includes 2D building shapes, heights, and simple 3D models (LoD1) for 2.75 billion buildings worldwide, including areas often missing in other maps like Africa and South America. This data is very accurate, with a fine 3x3 meter resolution, and can be used in GIS software or downloaded fully. It helps with urban planning, disaster risk assessment, climate adaptation, and monitoring sustainable development goals by showing where people live and how cities grow. The dataset and related code are openly available for research and practical use.
https://github.com/zhu-xlab/GlobalBuildingAtlas
You can access a free, detailed global dataset called the Global Building Atlas, which includes 2D building shapes, heights, and simple 3D models (LoD1) for 2.75 billion buildings worldwide, including areas often missing in other maps like Africa and South America. This data is very accurate, with a fine 3x3 meter resolution, and can be used in GIS software or downloaded fully. It helps with urban planning, disaster risk assessment, climate adaptation, and monitoring sustainable development goals by showing where people live and how cities grow. The dataset and related code are openly available for research and practical use.
https://github.com/zhu-xlab/GlobalBuildingAtlas
GitHub
GitHub - zhu-xlab/GlobalBuildingAtlas: GlobalBuildingAtlas: an open global and complete dataset of building polygons, heights and…
GlobalBuildingAtlas: an open global and complete dataset of building polygons, heights and LoD1 3D models - zhu-xlab/GlobalBuildingAtlas
#javascript
Claude-Mem is a tool that helps Claude Code remember everything important from your past sessions by automatically saving and compressing what you do. This means you don’t have to repeat explanations or lose track of your project history, saving you time and effort. It offers smart search to quickly find past work, a web viewer to see memory in real time, and privacy controls to keep sensitive info safe. It also supports long projects by compressing data to avoid running out of memory. This makes your AI assistant a continuous, helpful partner that keeps your work connected across sessions.
https://github.com/thedotmack/claude-mem
Claude-Mem is a tool that helps Claude Code remember everything important from your past sessions by automatically saving and compressing what you do. This means you don’t have to repeat explanations or lose track of your project history, saving you time and effort. It offers smart search to quickly find past work, a web viewer to see memory in real time, and privacy controls to keep sensitive info safe. It also supports long projects by compressing data to avoid running out of memory. This makes your AI assistant a continuous, helpful partner that keeps your work connected across sessions.
https://github.com/thedotmack/claude-mem
GitHub
GitHub - thedotmack/claude-mem: A Claude Code plugin that automatically captures everything Claude does during your coding sessions…
A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into...
#typescript
AGENTS.md is a simple, open file that acts like a special README for AI coding assistants, giving them clear instructions about your project’s setup, coding style, testing, and workflows. This helps AI tools quickly understand your codebase and produce code that fits your project’s rules, saving you time fixing mistakes. By using AGENTS.md, you make AI coding helpers more effective and consistent, speeding up development and reducing errors. It’s easy to start with and grows as your project does, making AI a reliable partner in your coding work.
https://github.com/agentsmd/agents.md
AGENTS.md is a simple, open file that acts like a special README for AI coding assistants, giving them clear instructions about your project’s setup, coding style, testing, and workflows. This helps AI tools quickly understand your codebase and produce code that fits your project’s rules, saving you time fixing mistakes. By using AGENTS.md, you make AI coding helpers more effective and consistent, speeding up development and reducing errors. It’s easy to start with and grows as your project does, making AI a reliable partner in your coding work.
https://github.com/agentsmd/agents.md
GitHub
GitHub - agentsmd/agents.md: AGENTS.md — a simple, open format for guiding coding agents
AGENTS.md — a simple, open format for guiding coding agents - agentsmd/agents.md
#python #agent #llm #rag #tutorial
You can learn to build smart AI agents from scratch with a free, open-source tutorial called Hello-Agents by Datawhale. It covers everything from basic concepts and history to hands-on projects like creating your own AI agent framework and multi-agent systems. The course includes practical skills such as memory, context handling, communication protocols, and training large language models. By following it, you gain deep understanding and real coding experience, moving from just using AI models to designing intelligent systems yourself. This helps you develop advanced AI skills useful for jobs, research, or building innovative AI applications. The materials are online and easy to access anytime.
https://github.com/datawhalechina/hello-agents
You can learn to build smart AI agents from scratch with a free, open-source tutorial called Hello-Agents by Datawhale. It covers everything from basic concepts and history to hands-on projects like creating your own AI agent framework and multi-agent systems. The course includes practical skills such as memory, context handling, communication protocols, and training large language models. By following it, you gain deep understanding and real coding experience, moving from just using AI models to designing intelligent systems yourself. This helps you develop advanced AI skills useful for jobs, research, or building innovative AI applications. The materials are online and easy to access anytime.
https://github.com/datawhalechina/hello-agents
GitHub
GitHub - datawhalechina/hello-agents: 📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程. Contribute to datawhalechina/hello-agents development by creating an account on GitHub.
#python #agents #gcp #gemini #genai_agents #generative_ai #llmops #mlops #observability
You can quickly create and deploy AI agents using the Agent Starter Pack, a Python package with ready-made templates and full infrastructure on Google Cloud. It handles everything except your agent’s logic, including deployment, monitoring, security, and CI/CD pipelines. You can start a project in just one minute, customize agents for tasks like document search or real-time chat, and extend them as needed. This saves you time and effort by providing production-ready tools and integration with Google Cloud services, letting you focus on building smart AI agents without worrying about backend setup or deployment details.
https://github.com/GoogleCloudPlatform/agent-starter-pack
You can quickly create and deploy AI agents using the Agent Starter Pack, a Python package with ready-made templates and full infrastructure on Google Cloud. It handles everything except your agent’s logic, including deployment, monitoring, security, and CI/CD pipelines. You can start a project in just one minute, customize agents for tasks like document search or real-time chat, and extend them as needed. This saves you time and effort by providing production-ready tools and integration with Google Cloud services, letting you focus on building smart AI agents without worrying about backend setup or deployment details.
https://github.com/GoogleCloudPlatform/agent-starter-pack
GitHub
GitHub - GoogleCloudPlatform/agent-starter-pack at producthunt
Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability. - GitHub - GoogleCloudPlatform/agent-starter-pack at producthunt
#rust
Tempo is a fast, low-cost blockchain built specifically for stablecoin payments, designed to handle many transactions quickly with sub-second finality. It offers predictable, very low fees paid directly in stablecoins like USDC or USDT, making it ideal for businesses, banks, and fintechs to process payments efficiently. Tempo supports batch and scheduled payments, modern authentication, and built-in compliance, helping users automate payroll, settlements, and cross-border transfers with ease. It is fully compatible with Ethereum tools, so developers can build on it without learning new systems. This means you get a reliable, scalable, and user-friendly payment network optimized for real-world financial use.
https://github.com/tempoxyz/tempo
Tempo is a fast, low-cost blockchain built specifically for stablecoin payments, designed to handle many transactions quickly with sub-second finality. It offers predictable, very low fees paid directly in stablecoins like USDC or USDT, making it ideal for businesses, banks, and fintechs to process payments efficiently. Tempo supports batch and scheduled payments, modern authentication, and built-in compliance, helping users automate payroll, settlements, and cross-border transfers with ease. It is fully compatible with Ethereum tools, so developers can build on it without learning new systems. This means you get a reliable, scalable, and user-friendly payment network optimized for real-world financial use.
https://github.com/tempoxyz/tempo
GitHub
GitHub - tempoxyz/tempo: the blockchain for payments
the blockchain for payments. Contribute to tempoxyz/tempo development by creating an account on GitHub.
#typescript #agent #ai #ai_memory #anthropic #artifact #artifacts #canvas #content_creation #deepseek_r1 #gemini #manus #n8n #qwen #rag #vibe_workflow #workflow
Refly.AI is the first vibe workflow platform for non-technical creators, letting you build, share, and monetize AI automations with simple prompts and a visual canvas—no coding needed. Key features include visualized steps for easy debugging, ready-to-use agents that simplify complex tasks, a copilot to turn words into workflows, and a marketplace to earn from your creations. Use the free cloud version or self-host it to automate 90% of repetitive work like content, research, and scheduling, saving hours and boosting productivity.
https://github.com/refly-ai/refly
Refly.AI is the first vibe workflow platform for non-technical creators, letting you build, share, and monetize AI automations with simple prompts and a visual canvas—no coding needed. Key features include visualized steps for easy debugging, ready-to-use agents that simplify complex tasks, a copilot to turn words into workflows, and a marketplace to earn from your creations. Use the free cloud version or self-host it to automate 90% of repetitive work like content, research, and scheduling, saving hours and boosting productivity.
https://github.com/refly-ai/refly
GitHub
GitHub - refly-ai/refly: Vibe Workflow Platform for Non-technical Creators.
Vibe Workflow Platform for Non-technical Creators. - refly-ai/refly
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#typescript #browser #chrome #chrome_devtools #debugging #devtools #mcp #mcp_server #puppeteer
Chrome DevTools MCP lets your AI coding tools like Gemini, Claude, or Cursor control a live Chrome browser for automation, debugging, and performance checks. Install it easily with
https://github.com/ChromeDevTools/chrome-devtools-mcp
Chrome DevTools MCP lets your AI coding tools like Gemini, Claude, or Cursor control a live Chrome browser for automation, debugging, and performance checks. Install it easily with
npx chrome-devtools-mcp@latest in your MCP config, then prompt "Check performance of a site" to auto-record traces, take screenshots, analyze networks, and fix issues reliably. This benefits you by making AI smarter at web coding—verifying changes in real-time, spotting bugs fast, and boosting site speed without manual work.https://github.com/ChromeDevTools/chrome-devtools-mcp
GitHub
GitHub - ChromeDevTools/chrome-devtools-mcp: Chrome DevTools for coding agents
Chrome DevTools for coding agents. Contribute to ChromeDevTools/chrome-devtools-mcp development by creating an account on GitHub.
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#python #dictionary_attack #password #password_strength #weak_passwords #wordlist #wordlist_generator
**CUPP** is a free Python 3 tool that creates custom password wordlists from personal details like names, birthdays, pet names, or nicknames, using interactive questions or existing dictionaries. Run it with options like `-i` for profiling or `-l` to download huge wordlists. This helps you in legal penetration tests or investigations by generating targeted lists for efficient brute-force or dictionary attacks, cracking weak passwords faster than generic ones.
https://github.com/Mebus/cupp
**CUPP** is a free Python 3 tool that creates custom password wordlists from personal details like names, birthdays, pet names, or nicknames, using interactive questions or existing dictionaries. Run it with options like `-i` for profiling or `-l` to download huge wordlists. This helps you in legal penetration tests or investigations by generating targeted lists for efficient brute-force or dictionary attacks, cracking weak passwords faster than generic ones.
https://github.com/Mebus/cupp
GitHub
GitHub - Mebus/cupp: Common User Passwords Profiler (CUPP)
Common User Passwords Profiler (CUPP). Contribute to Mebus/cupp development by creating an account on GitHub.
#c_lang #bk7231 #bk7231n #bk7231t #bl602 #home_assistant #iot #ln882h #mqtt #smart_home #tasmota #tuya #w600 #w601 #w800 #w801 #wifi #xr809
OpenBeken is a free Tasmota-like firmware for Tuya devices with chips like BK7231T/N, BL602, W600, ESP32, and 20+ others, adding MQTT, Home Assistant auto-discovery, OTA updates, scripting, sensors, power metering, and RGB LED control. Download ready binaries, flash easily via GUI tools or UART, and use a 700+ device database with guides. You gain cloud-free smart home control, easy local setup without AP mode, lower power use, and full customization for reliable automation.
https://github.com/openshwprojects/OpenBK7231T_App
OpenBeken is a free Tasmota-like firmware for Tuya devices with chips like BK7231T/N, BL602, W600, ESP32, and 20+ others, adding MQTT, Home Assistant auto-discovery, OTA updates, scripting, sensors, power metering, and RGB LED control. Download ready binaries, flash easily via GUI tools or UART, and use a 700+ device database with guides. You gain cloud-free smart home control, easy local setup without AP mode, lower power use, and full customization for reliable automation.
https://github.com/openshwprojects/OpenBK7231T_App
GitHub
GitHub - openshwprojects/OpenBK7231T_App: Open source firmware (Tasmota/Esphome replacement) for BK7231T, BK7231N, BL2028N, T34…
Open source firmware (Tasmota/Esphome replacement) for BK7231T, BK7231N, BL2028N, T34, XR809, W800/W801, W600/W601, BL602, LN882H, Realtek chips and more - openshwprojects/OpenBK7231T_App
#python #datascience #formula1 #motorsport
FastF1 is a Python package that lets you easily access and analyze Formula 1 data like results, schedules, timing, telemetry, and more. It uses Pandas DataFrames with custom F1 tools, Matplotlib for charts, and caching for fast scripts—install via
https://github.com/theOehrly/Fast-F1
FastF1 is a Python package that lets you easily access and analyze Formula 1 data like results, schedules, timing, telemetry, and more. It uses Pandas DataFrames with custom F1 tools, Matplotlib for charts, and caching for fast scripts—install via
pip install fastf1. You benefit by quickly pulling historical and live F1 stats to build insights, visualizations, or apps without hassle.https://github.com/theOehrly/Fast-F1
GitHub
GitHub - theOehrly/Fast-F1: FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and…
FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry - theOehrly/Fast-F1
#cplusplus #jellyfin #jellyfin_client
Jellyfin Desktop is a free app for Windows, Mac, and Linux that uses the familiar Jellyfin web interface with a built-in MPV player for smooth video and music playback in one window. It supports audio passthrough, controller use, and easy downloads from GitHub or Flathub. Build guides help customize it yourself. This gives you better media control, high-quality playback without transcoding issues, and seamless streaming from your server—saving time and improving your home entertainment setup.
https://github.com/jellyfin/jellyfin-desktop
Jellyfin Desktop is a free app for Windows, Mac, and Linux that uses the familiar Jellyfin web interface with a built-in MPV player for smooth video and music playback in one window. It supports audio passthrough, controller use, and easy downloads from GitHub or Flathub. Build guides help customize it yourself. This gives you better media control, high-quality playback without transcoding issues, and seamless streaming from your server—saving time and improving your home entertainment setup.
https://github.com/jellyfin/jellyfin-desktop
GitHub
GitHub - jellyfin/jellyfin-desktop: Jellyfin Desktop Client
Jellyfin Desktop Client. Contribute to jellyfin/jellyfin-desktop development by creating an account on GitHub.
#vue #inventory #inventory_management #warehouse_management #warehouse_management_system #wms
ModernWMS is a free, open-source warehouse management system built with .NET 7, Vue 3, and tools like QR codes, Docker, and databases (MySQL 8+, SQL Server, PostgreSQL). It supports Linux, Windows, and easy Docker setup for quick deployment. Access via browser with admin/1 login; try the demo. You save IT costs with real-time inventory tracking, order management, and efficiency for small/medium businesses, avoiding expensive proprietary software while handling core logistics fast.
https://github.com/fjykTec/ModernWMS
ModernWMS is a free, open-source warehouse management system built with .NET 7, Vue 3, and tools like QR codes, Docker, and databases (MySQL 8+, SQL Server, PostgreSQL). It supports Linux, Windows, and easy Docker setup for quick deployment. Access via browser with admin/1 login; try the demo. You save IT costs with real-time inventory tracking, order management, and efficiency for small/medium businesses, avoiding expensive proprietary software while handling core logistics fast.
https://github.com/fjykTec/ModernWMS
GitHub
GitHub - fjykTec/ModernWMS: The open source simple and complete warehouse management system is derived from our many years of experience…
The open source simple and complete warehouse management system is derived from our many years of experience in implementing erp projects. We stripped the original commercial system wms function an...
#typescript #diagrams #mermaid
Mermaid Live Editor lets you edit and preview flowcharts, sequence, and Gantt diagrams in real time using simple text. Save as SVG, share view or edit links easily, and run it via Docker or locally with Node.js and pnpm. This helps you quickly create, collaborate on, and update diagrams without drawing tools, making documentation and team work faster and simpler.
https://github.com/mermaid-js/mermaid-live-editor
Mermaid Live Editor lets you edit and preview flowcharts, sequence, and Gantt diagrams in real time using simple text. Save as SVG, share view or edit links easily, and run it via Docker or locally with Node.js and pnpm. This helps you quickly create, collaborate on, and update diagrams without drawing tools, making documentation and team work faster and simpler.
https://github.com/mermaid-js/mermaid-live-editor
GitHub
GitHub - mermaid-js/mermaid-live-editor: Edit, preview and share mermaid charts/diagrams. New implementation of the live editor.
Edit, preview and share mermaid charts/diagrams. New implementation of the live editor. - mermaid-js/mermaid-live-editor
#c_lang
stackplz is an eBPF tool for Android (arm64, root, kernel 5.10+) that traces syscalls, uprobes in libraries, and hardware breakpoints, printing params, stacks, and registers with filters for PIDs/threads. Push binary to /data/local/tmp, chmod +x, run like
https://github.com/SeeFlowerX/stackplz
stackplz is an eBPF tool for Android (arm64, root, kernel 5.10+) that traces syscalls, uprobes in libraries, and hardware breakpoints, printing params, stacks, and registers with filters for PIDs/threads. Push binary to /data/local/tmp, chmod +x, run like
./stackplz -n app --syscall open -o log. It helps you debug apps, hook functions, dump memory on hits (e.g., --kill SIGSTOP), and analyze traces undetected, saving time on reverse engineering without attaching processes.https://github.com/SeeFlowerX/stackplz
GitHub
GitHub - SeeFlowerX/stackplz: 基于eBPF的堆栈追踪工具
基于eBPF的堆栈追踪工具. Contribute to SeeFlowerX/stackplz development by creating an account on GitHub.
#rust
Hashcards is a simple tool for making and reviewing flashcards in plain text Markdown files you edit easily, like with any text editor or Git for tracking changes. Cards use hashes, so editing resets progress; write Q/A or cloze types (C Frictionless creation helps you learn faster without complex apps.
https://github.com/eudoxia0/hashcards
Hashcards is a simple tool for making and reviewing flashcards in plain text Markdown files you edit easily, like with any text editor or Git for tracking changes. Cards use hashes, so editing resets progress; write Q/A or cloze types (C Frictionless creation helps you learn faster without complex apps.
https://github.com/eudoxia0/hashcards
GitHub
GitHub - eudoxia0/hashcards: A plain text-based spaced repetition system.
A plain text-based spaced repetition system. Contribute to eudoxia0/hashcards development by creating an account on GitHub.
#typescript
Zerobyte is a simple web app that automates encrypted, compressed backups (using Restic) from local folders or remote shares to many storage types—including S3, GCS, Azure, rclone remotes, NFS, SMB and WebDAV—letting you schedule jobs, set retention rules, monitor progress, and restore files through a dashboard (it’s early-stage and may change). Installing requires Docker Compose and optional FUSE/SYS_ADMIN for remote mounts; rclone support lets you use 40+ cloud providers. Benefit: you get automatic, space-efficient, end-to-end encrypted backups with easy scheduling and restores, reducing manual work and risk of data loss.
https://github.com/nicotsx/zerobyte
Zerobyte is a simple web app that automates encrypted, compressed backups (using Restic) from local folders or remote shares to many storage types—including S3, GCS, Azure, rclone remotes, NFS, SMB and WebDAV—letting you schedule jobs, set retention rules, monitor progress, and restore files through a dashboard (it’s early-stage and may change). Installing requires Docker Compose and optional FUSE/SYS_ADMIN for remote mounts; rclone support lets you use 40+ cloud providers. Benefit: you get automatic, space-efficient, end-to-end encrypted backups with easy scheduling and restores, reducing manual work and risk of data loss.
https://github.com/nicotsx/zerobyte
GitHub
GitHub - nicotsx/zerobyte: Backup automation for self-hosters. Built on top of restic
Backup automation for self-hosters. Built on top of restic - nicotsx/zerobyte
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#python #help_wanted #looking_for_contributors
This M3U playlist gives you a single, regularly updated file of free, legal TV channels worldwide (grouped by country and marked for HD, geo-blocking, or YouTube live) so you can add it to an IPTV player and watch many working streams without hunting links; it focuses on quality (only free, mainstream channels, one URL per channel) and lets you contribute fixes or channel changes via GitHub pull requests, which helps you get reliable channels and keeps the list current for smoother viewing.
https://github.com/Free-TV/IPTV
This M3U playlist gives you a single, regularly updated file of free, legal TV channels worldwide (grouped by country and marked for HD, geo-blocking, or YouTube live) so you can add it to an IPTV player and watch many working streams without hunting links; it focuses on quality (only free, mainstream channels, one URL per channel) and lets you contribute fixes or channel changes via GitHub pull requests, which helps you get reliable channels and keeps the list current for smoother viewing.
https://github.com/Free-TV/IPTV
GitHub
GitHub - Free-TV/IPTV: M3U Playlist for free TV channels
M3U Playlist for free TV channels. Contribute to Free-TV/IPTV development by creating an account on GitHub.
#python #gym #gym_environment #reinforcement_learning #reinforcement_learning_agent #reinforcement_learning_environments #rl_environment #rl_training
NeMo Gym helps you build and run reinforcement‑learning training environments for large language models, letting you develop, test, and collect verified rollouts separately from the training loop and integrate with your preferred RL framework and model endpoints (OpenAI, vLLM, etc.). It includes ready resource servers, datasets, and patterns for multi‑step, multi‑turn, and tool‑using scenarios, runs on a typical dev machine (no GPU required), and is early-stage with evolving APIs and docs. Benefit: you can generate high‑quality, verifiable training data faster and plug it into existing training pipelines to improve model behavior.
https://github.com/NVIDIA-NeMo/Gym
NeMo Gym helps you build and run reinforcement‑learning training environments for large language models, letting you develop, test, and collect verified rollouts separately from the training loop and integrate with your preferred RL framework and model endpoints (OpenAI, vLLM, etc.). It includes ready resource servers, datasets, and patterns for multi‑step, multi‑turn, and tool‑using scenarios, runs on a typical dev machine (no GPU required), and is early-stage with evolving APIs and docs. Benefit: you can generate high‑quality, verifiable training data faster and plug it into existing training pipelines to improve model behavior.
https://github.com/NVIDIA-NeMo/Gym
GitHub
GitHub - NVIDIA-NeMo/Gym: Build RL environments for LLM training
Build RL environments for LLM training. Contribute to NVIDIA-NeMo/Gym development by creating an account on GitHub.