#python #audio_driven_talking_face #dance_generation #end_to_end_filming #long_video_generation #video_diffusion_transformers
Stable Video Infinity (SVI) lets you create videos of any length—from seconds to minutes or infinite—starting from one image and text prompts, with no quality loss, drift, or repetition. It uses error-recycling to fix mistakes automatically, supporting stories, cartoons like Tom & Jerry (up to 10+ minutes), talking heads with audio, dancing from skeletons, and multi-scene films. Everything is open-source with models, scripts, datasets, and ComfyUI workflows on Hugging Face and GitHub—you can download, run demos, or train your own easily. This saves you time and effort for pro filmmaking or fun animations without limits.
https://github.com/vita-epfl/Stable-Video-Infinity
Stable Video Infinity (SVI) lets you create videos of any length—from seconds to minutes or infinite—starting from one image and text prompts, with no quality loss, drift, or repetition. It uses error-recycling to fix mistakes automatically, supporting stories, cartoons like Tom & Jerry (up to 10+ minutes), talking heads with audio, dancing from skeletons, and multi-scene films. Everything is open-source with models, scripts, datasets, and ComfyUI workflows on Hugging Face and GitHub—you can download, run demos, or train your own easily. This saves you time and effort for pro filmmaking or fun animations without limits.
https://github.com/vita-epfl/Stable-Video-Infinity
GitHub
GitHub - vita-epfl/Stable-Video-Infinity: [ICLR 26] Stable Video Infinity: Infinite-Length Video Generation with Error Recycling
[ICLR 26] Stable Video Infinity: Infinite-Length Video Generation with Error Recycling - vita-epfl/Stable-Video-Infinity
#swift #ai #claude_code #codex #swift
CodexBar is a tiny macOS 14+ menu bar app that shows real-time usage limits, session and weekly resets for AI tools like Codex, Claude, Cursor, Gemini, Copilot and more, with dynamic icons, toggles, and privacy-focused local processing. Download from GitHub or Homebrew, enable providers in settings, and add auth like cookies or CLI. It helps you avoid surprise token limits, track quotas without workflow breaks, and manage costs efficiently.
https://github.com/steipete/CodexBar
CodexBar is a tiny macOS 14+ menu bar app that shows real-time usage limits, session and weekly resets for AI tools like Codex, Claude, Cursor, Gemini, Copilot and more, with dynamic icons, toggles, and privacy-focused local processing. Download from GitHub or Homebrew, enable providers in settings, and add auth like cookies or CLI. It helps you avoid surprise token limits, track quotas without workflow breaks, and manage costs efficiently.
https://github.com/steipete/CodexBar
GitHub
GitHub - steipete/CodexBar: Show usage stats for OpenAI Codex and Claude Code, without having to login.
Show usage stats for OpenAI Codex and Claude Code, without having to login. - steipete/CodexBar
#typescript #ai_agents #claude_code #codex #generative_ai #opencode
Maestro is a free desktop app that lets you run multiple AI coding agents like Claude Code, OpenAI Codex, and OpenCode in parallel on your projects. Use keyboard shortcuts for fast control, Git worktrees for isolated branches, Auto Run playbooks for 24-hour unattended tasks, group chats to coordinate agents, and mobile access to monitor from your phone. It boosts your productivity by enabling true parallel development without conflicts, saving time on juggling projects, and keeping you in flow state for faster coding and automation.
https://github.com/pedramamini/Maestro
Maestro is a free desktop app that lets you run multiple AI coding agents like Claude Code, OpenAI Codex, and OpenCode in parallel on your projects. Use keyboard shortcuts for fast control, Git worktrees for isolated branches, Auto Run playbooks for 24-hour unattended tasks, group chats to coordinate agents, and mobile access to monitor from your phone. It boosts your productivity by enabling true parallel development without conflicts, saving time on juggling projects, and keeping you in flow state for faster coding and automation.
https://github.com/pedramamini/Maestro
GitHub
GitHub - pedramamini/Maestro: Agent Orchestration Command Center
Agent Orchestration Command Center. Contribute to pedramamini/Maestro development by creating an account on GitHub.
#go #cross_seed #cross_seeding #go #golang #libtorrent #qbit #qbittorrent #workflows
qui is a fast, modern web interface for qBittorrent that lets you manage multiple instances from one lightweight app with no dependencies—just download and run. Key features include multi-instance support, cross-seeding to match torrents across trackers, rule-based automations, backups, and a responsive UI for large collections, accessible at http7476 via simple Linux or Docker setup. This benefits you by simplifying torrent management, boosting performance, enabling automations, and saving time on handling big libraries from a single, efficient dashboard.
https://github.com/autobrr/qui
qui is a fast, modern web interface for qBittorrent that lets you manage multiple instances from one lightweight app with no dependencies—just download and run. Key features include multi-instance support, cross-seeding to match torrents across trackers, rule-based automations, backups, and a responsive UI for large collections, accessible at http7476 via simple Linux or Docker setup. This benefits you by simplifying torrent management, boosting performance, enabling automations, and saving time on handling big libraries from a single, efficient dashboard.
https://github.com/autobrr/qui
GitHub
GitHub - autobrr/qui: A fast, single-binary qBittorrent web UI: manage multiple instances, automate torrent workflows, and cross…
A fast, single-binary qBittorrent web UI: manage multiple instances, automate torrent workflows, and cross-seed across trackers. - autobrr/qui
#python
nanochat lets you train your own GPT-2 level LLM—like a basic ChatGPT—for just $73 in 3 hours on an 8xH100 GPU node using the simple speedrun.sh script. It handles tokenization, pretraining, finetuning, evaluation, inference, and a web chat UI in minimal, hackable code. You benefit by easily building, customizing, and chatting with your personal AI on a tiny budget, learning LLM mechanics hands-on without complex setups.
https://github.com/karpathy/nanochat
nanochat lets you train your own GPT-2 level LLM—like a basic ChatGPT—for just $73 in 3 hours on an 8xH100 GPU node using the simple speedrun.sh script. It handles tokenization, pretraining, finetuning, evaluation, inference, and a web chat UI in minimal, hackable code. You benefit by easily building, customizing, and chatting with your personal AI on a tiny budget, learning LLM mechanics hands-on without complex setups.
https://github.com/karpathy/nanochat
GitHub
GitHub - karpathy/nanochat: The best ChatGPT that $100 can buy.
The best ChatGPT that $100 can buy. Contribute to karpathy/nanochat development by creating an account on GitHub.
❤2
#shell #ai_agents #ai_coding #claude #claude_code #project_management #vibe_coding
Claude Code PM is a workflow that turns product ideas into GitHub issues and code using spec-driven steps, parallel AI agents, and commands like /pmepic-oneshot to break tasks, and /pm:issue-start for execution. It preserves context, enables team collaboration via GitHub, and ensures every code line traces to specs. You benefit by shipping 3x faster, cutting bugs 75%, reducing context loss 89%, and working with multiple agents simultaneously for higher productivity.
https://github.com/automazeio/ccpm
Claude Code PM is a workflow that turns product ideas into GitHub issues and code using spec-driven steps, parallel AI agents, and commands like /pmepic-oneshot to break tasks, and /pm:issue-start for execution. It preserves context, enables team collaboration via GitHub, and ensures every code line traces to specs. You benefit by shipping 3x faster, cutting bugs 75%, reducing context loss 89%, and working with multiple agents simultaneously for higher productivity.
https://github.com/automazeio/ccpm
GitHub
GitHub - automazeio/ccpm: Project management system for Claude Code using GitHub Issues and Git worktrees for parallel agent execution.
Project management system for Claude Code using GitHub Issues and Git worktrees for parallel agent execution. - automazeio/ccpm
#python
AI-assisted code review prompts by Linux kernel expert Chris Mason speed up Linux kernel and systemd patch reviews. Install easily with bash scripts, then use slash commands like /kreview or /kdebug in tools like Claude—they auto-load project context, break big diffs into tasks, cut token costs by 40-60%, and catch more bugs. You benefit by reviewing code 30-50% faster, saving money, reducing burnout, and improving quality without replacing human checks. Works with GPT-4, Claude, and more; pairs best with semcode for navigation.
https://github.com/masoncl/review-prompts
AI-assisted code review prompts by Linux kernel expert Chris Mason speed up Linux kernel and systemd patch reviews. Install easily with bash scripts, then use slash commands like /kreview or /kdebug in tools like Claude—they auto-load project context, break big diffs into tasks, cut token costs by 40-60%, and catch more bugs. You benefit by reviewing code 30-50% faster, saving money, reducing burnout, and improving quality without replacing human checks. Works with GPT-4, Claude, and more; pairs best with semcode for navigation.
https://github.com/masoncl/review-prompts
GitHub
GitHub - masoncl/review-prompts: AI review prompts
AI review prompts. Contribute to masoncl/review-prompts development by creating an account on GitHub.
#typescript #agentic_workflow #ai_agent #ai_runtime #ai_sandbox #claude_code #cli #cloudflare #codex #containers #context_engineer #dev_tools #gemini_cli #react #sandbox #typescript
VM0 is a natural language agent that runs workflows automatically 24/7 in secure cloud sandboxes. It offers isolated Claude Code execution, 35,000+ skills for tools like GitHub and Notion, persistent chats with resume/fork options, and full logs/metrics for monitoring. Quick start via `npm install -g @vm0/cli && vm0 onboard` gets you automating in 5 minutes. You benefit by saving hours on repetitive tasks like reports or data syncs, with reliable, observable runs anytime.
https://github.com/vm0-ai/vm0
VM0 is a natural language agent that runs workflows automatically 24/7 in secure cloud sandboxes. It offers isolated Claude Code execution, 35,000+ skills for tools like GitHub and Notion, persistent chats with resume/fork options, and full logs/metrics for monitoring. Quick start via `npm install -g @vm0/cli && vm0 onboard` gets you automating in 5 minutes. You benefit by saving hours on repetitive tasks like reports or data syncs, with reliable, observable runs anytime.
https://github.com/vm0-ai/vm0
GitHub
GitHub - vm0-ai/vm0: the easiest way to run natural language-described workflows automatically
the easiest way to run natural language-described workflows automatically - vm0-ai/vm0
#python
Agent Skills are reusable packages of instructions, scripts, and resources that AI agents like Codex can automatically load to complete specific tasks efficiently and consistently. Instead of repeating the same guidance repeatedly, you write a skill once and use it everywhere, which saves time and reduces errors. You can install pre-built skills automatically or create custom ones tailored to your organization's needs, then share them across teams. This modular approach transforms general AI assistants into domain specialists, enabling them to handle complex, specialized workflows reliably without requiring you to provide the same instructions in every conversation.
https://github.com/openai/skills
Agent Skills are reusable packages of instructions, scripts, and resources that AI agents like Codex can automatically load to complete specific tasks efficiently and consistently. Instead of repeating the same guidance repeatedly, you write a skill once and use it everywhere, which saves time and reduces errors. You can install pre-built skills automatically or create custom ones tailored to your organization's needs, then share them across teams. This modular approach transforms general AI assistants into domain specialists, enabling them to handle complex, specialized workflows reliably without requiring you to provide the same instructions in every conversation.
https://github.com/openai/skills
GitHub
GitHub - openai/skills: Skills Catalog for Codex
Skills Catalog for Codex. Contribute to openai/skills development by creating an account on GitHub.