#typescript
Claude Subconscious is a background Letta agent that watches your Claude Code sessions, reads your codebase, remembers details across projects, and whispers helpful guidance like patterns or reminders before prompts. Install easily via plugin, set your LETTA_API_KEY, and it runs non-intrusively with tools for file search and web lookup. This benefits you by giving persistent memory to Claude Code—saving time on repeating context, spotting issues early, and boosting coding efficiency as it learns your style.
https://github.com/letta-ai/claude-subconscious
Claude Subconscious is a background Letta agent that watches your Claude Code sessions, reads your codebase, remembers details across projects, and whispers helpful guidance like patterns or reminders before prompts. Install easily via plugin, set your LETTA_API_KEY, and it runs non-intrusively with tools for file search and web lookup. This benefits you by giving persistent memory to Claude Code—saving time on repeating context, spotting issues early, and boosting coding efficiency as it learns your style.
https://github.com/letta-ai/claude-subconscious
GitHub
GitHub - letta-ai/claude-subconscious: Give Claude Code a subconscious
Give Claude Code a subconscious. Contribute to letta-ai/claude-subconscious development by creating an account on GitHub.
#python #4k #aac #apple_music #apple_music_downloader #downloader #m4a #m4v
Gamdl is a free command-line tool to download Apple Music songs in high-quality AAC 256kbps, music videos up to 4K, albums, playlists, and artist content, with synced lyrics (LRC/SRT), rich metadata, and cover art. Install via `pip install gamdl`, add your browser cookies from an active subscription, and run `gamdl [URL]`. It benefits you by letting you enjoy offline playback anywhere without streaming data costs, on any device, with organized files ready for your library.
https://github.com/glomatico/gamdl
Gamdl is a free command-line tool to download Apple Music songs in high-quality AAC 256kbps, music videos up to 4K, albums, playlists, and artist content, with synced lyrics (LRC/SRT), rich metadata, and cover art. Install via `pip install gamdl`, add your browser cookies from an active subscription, and run `gamdl [URL]`. It benefits you by letting you enjoy offline playback anywhere without streaming data costs, on any device, with organized files ready for your library.
https://github.com/glomatico/gamdl
GitHub
GitHub - glomatico/gamdl: A command-line app for downloading Apple Music songs, music videos and post videos.
A command-line app for downloading Apple Music songs, music videos and post videos. - glomatico/gamdl
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#jupyter_notebook
Insanely Fast Whisper is a simple CLI tool that transcribes audio files super quickly on your NVIDIA GPU or Mac using OpenAI's Whisper Large v3 model with optimizations like Flash Attention 2. Install via `pipx install insanely-fast-whisper` and run `insanely-fast-whisper --file-name youraudio.mp3 --flash True` to transcribe 150 minutes of audio in under 98 seconds. You benefit by saving hours on tasks like podcasting or meetings, getting accurate text output fast without cloud costs or slow processing.
https://github.com/Vaibhavs10/insanely-fast-whisper
Insanely Fast Whisper is a simple CLI tool that transcribes audio files super quickly on your NVIDIA GPU or Mac using OpenAI's Whisper Large v3 model with optimizations like Flash Attention 2. Install via `pipx install insanely-fast-whisper` and run `insanely-fast-whisper --file-name youraudio.mp3 --flash True` to transcribe 150 minutes of audio in under 98 seconds. You benefit by saving hours on tasks like podcasting or meetings, getting accurate text output fast without cloud costs or slow processing.
https://github.com/Vaibhavs10/insanely-fast-whisper
GitHub
GitHub - Vaibhavs10/insanely-fast-whisper
Contribute to Vaibhavs10/insanely-fast-whisper development by creating an account on GitHub.
#python #ai #ocr
Chandra OCR 2 is a top OCR model that turns images and PDFs into structured Markdown, HTML, or JSON, keeping layout, tables, math, handwriting, and 90+ languages accurate—it leads benchmarks like olmOCR (85.9% overall) and multilingual tests (77.8% average). Install easily with `pip install chandra-ocr` for CLI use, local HuggingFace, or fast vLLM server; try the free playground first. You benefit by quickly digitizing complex docs with high precision, saving time on extraction and enabling easy editing or analysis without manual fixes.
https://github.com/datalab-to/chandra
Chandra OCR 2 is a top OCR model that turns images and PDFs into structured Markdown, HTML, or JSON, keeping layout, tables, math, handwriting, and 90+ languages accurate—it leads benchmarks like olmOCR (85.9% overall) and multilingual tests (77.8% average). Install easily with `pip install chandra-ocr` for CLI use, local HuggingFace, or fast vLLM server; try the free playground first. You benefit by quickly digitizing complex docs with high precision, saving time on extraction and enabling easy editing or analysis without manual fixes.
https://github.com/datalab-to/chandra
GitHub
GitHub - datalab-to/chandra: OCR model that handles complex tables, forms, handwriting with full layout.
OCR model that handles complex tables, forms, handwriting with full layout. - datalab-to/chandra
#typescript #agentic_coding #ai_agents #automation #claude #claude_code #multi_agent_systems #oh_my_opencode #opencode #parallel_execution #vibe_coding
oh-my-claudecode (OMC) is a free plugin that supercharges your Claude Code with multi-agent teams, autopilot building, and natural language commands like `/team 3 build a REST API`. Install via marketplace, run `/setup`, and it auto-orchestrates 32 agents for planning, coding, verifying, and fixing—saving 30-50% on costs with smart routing. You benefit by coding 3-5x faster without learning curves, handling complex tasks automatically, and getting persistent results with real-time visibility.
https://github.com/Yeachan-Heo/oh-my-claudecode
oh-my-claudecode (OMC) is a free plugin that supercharges your Claude Code with multi-agent teams, autopilot building, and natural language commands like `/team 3 build a REST API`. Install via marketplace, run `/setup`, and it auto-orchestrates 32 agents for planning, coding, verifying, and fixing—saving 30-50% on costs with smart routing. You benefit by coding 3-5x faster without learning curves, handling complex tasks automatically, and getting persistent results with real-time visibility.
https://github.com/Yeachan-Heo/oh-my-claudecode
GitHub
GitHub - Yeachan-Heo/oh-my-claudecode: Teams-first Multi-agent orchestration for Claude Code
Teams-first Multi-agent orchestration for Claude Code - Yeachan-Heo/oh-my-claudecode
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#javascript
Figma MCP server connects your Figma designs to AI coding tools in VS Code, Cursor, Claude, and more, letting agents pull variables, components, and layouts to generate precise code from selected frames. You can write to Figma canvases, search design systems, and use Code Connect for codebase consistency. This speeds up design-to-code workflows, ensures UI matches designs exactly using your tokens, and cuts errors for faster, reliable app building.
https://github.com/figma/mcp-server-guide
Figma MCP server connects your Figma designs to AI coding tools in VS Code, Cursor, Claude, and more, letting agents pull variables, components, and layouts to generate precise code from selected frames. You can write to Figma canvases, search design systems, and use Code Connect for codebase consistency. This speeds up design-to-code workflows, ensures UI matches designs exactly using your tokens, and cuts errors for faster, reliable app building.
https://github.com/figma/mcp-server-guide
GitHub
GitHub - figma/mcp-server-guide: A guide on how to use the Figma MCP server
A guide on how to use the Figma MCP server. Contribute to figma/mcp-server-guide development by creating an account on GitHub.
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#python
AI Scientist-v2 is an autonomous AI system that generates research ideas, runs experiments, analyzes data, and writes full scientific papers using agentic tree search—no human templates needed. It produced the first entirely AI-written paper accepted via peer review at an ICLR workshop. You benefit by quickly exploring ML topics, automating discovery to save time and costs (about $20 per run on Linux with GPU), and scaling your research productivity for faster breakthroughs. Install via conda, set API keys, ideate with a Markdown file, then launch experiments. Run in a safe sandbox due to code risks.
https://github.com/SakanaAI/AI-Scientist-v2
AI Scientist-v2 is an autonomous AI system that generates research ideas, runs experiments, analyzes data, and writes full scientific papers using agentic tree search—no human templates needed. It produced the first entirely AI-written paper accepted via peer review at an ICLR workshop. You benefit by quickly exploring ML topics, automating discovery to save time and costs (about $20 per run on Linux with GPU), and scaling your research productivity for faster breakthroughs. Install via conda, set API keys, ideate with a Markdown file, then launch experiments. Run in a safe sandbox due to code risks.
https://github.com/SakanaAI/AI-Scientist-v2
GitHub
GitHub - SakanaAI/AI-Scientist-v2: The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search - SakanaAI/AI-Scientist-v2
#javascript
foobox is a sleek, customizable skin for foobar2000 music player that uses JSplitter for smooth layouts, lyrics, spectrum analyzer, playlists, covers, search, and online radio. Download the free Chinese version package from latest Releases—it works on 32/64-bit, installs green without the base app, and lets you switch layouts via Main Menu > View > Layout > Quick Setup. You get a modern, feature-rich interface that runs fast, giving full control over your music library for better listening.
https://github.com/dream7180/foobox-cn
foobox is a sleek, customizable skin for foobar2000 music player that uses JSplitter for smooth layouts, lyrics, spectrum analyzer, playlists, covers, search, and online radio. Download the free Chinese version package from latest Releases—it works on 32/64-bit, installs green without the base app, and lets you switch layouts via Main Menu > View > Layout > Quick Setup. You get a modern, feature-rich interface that runs fast, giving full control over your music library for better listening.
https://github.com/dream7180/foobox-cn
GitHub
GitHub - dream7180/foobox-cn: DUI 配置 for foobar2000
DUI 配置 for foobar2000. Contribute to dream7180/foobox-cn development by creating an account on GitHub.
#python #claude_code #guide #tutorial
Claude How To is a free GitHub guide (3,900+ stars) with visual tutorials, copy-paste templates, and a 11-13 hour learning path to master Claude Code features like slash commands, memory, skills, subagents, hooks, MCP, and plugins. Start in 15 minutes by cloning the repo and copying a command—build automated code reviews, deployments, and docs. You gain 10x productivity by combining features into real workflows, skipping basic docs for production-ready setups that save hours daily on grunt work.
https://github.com/luongnv89/claude-howto
Claude How To is a free GitHub guide (3,900+ stars) with visual tutorials, copy-paste templates, and a 11-13 hour learning path to master Claude Code features like slash commands, memory, skills, subagents, hooks, MCP, and plugins. Start in 15 minutes by cloning the repo and copying a command—build automated code reviews, deployments, and docs. You gain 10x productivity by combining features into real workflows, skipping basic docs for production-ready setups that save hours daily on grunt work.
https://github.com/luongnv89/claude-howto
GitHub
GitHub - luongnv89/claude-howto: A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy…
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value. - luongnv89/claude-howto
#cplusplus #astronomy #data_visualization #planetarium #science #space #universe #visualization
OpenSpace is free, open-source software that lets you interactively explore the entire known universe on Windows or Linux computers, from planets and stars to galaxies, using real NASA data, simulations, and space missions like New Horizons. It works on screens, planetariums, or domes, supports custom content via Lua/Python, and enables global sharing. You benefit by easily visualizing cosmic data for fun, education, science projects, or stunning presentations without high costs.
https://github.com/OpenSpace/OpenSpace
OpenSpace is free, open-source software that lets you interactively explore the entire known universe on Windows or Linux computers, from planets and stars to galaxies, using real NASA data, simulations, and space missions like New Horizons. It works on screens, planetariums, or domes, supports custom content via Lua/Python, and enables global sharing. You benefit by easily visualizing cosmic data for fun, education, science projects, or stunning presentations without high costs.
https://github.com/OpenSpace/OpenSpace
GitHub
GitHub - OpenSpace/OpenSpace: This is the official GitHub repository for OpenSpace: an open source astrovisualization project.…
This is the official GitHub repository for OpenSpace: an open source astrovisualization project. For instructions on how to build and run OpenSpace, see the Getting Started Guides on the wiki page ...
#shell
Skills Public offers 16 reusable tools for Apple devs, like creating App Store notes from git, debugging iOS apps, fixing SwiftUI/React performance, running bug hunts, code reviews, and refactoring. Place skill folders in `$CODEX_HOME/skills` and check each `SKILL.md` for use. This saves you time on repeat tasks, boosts code quality, speeds debugging, and helps build better apps faster.
https://github.com/Dimillian/Skills
Skills Public offers 16 reusable tools for Apple devs, like creating App Store notes from git, debugging iOS apps, fixing SwiftUI/React performance, running bug hunts, code reviews, and refactoring. Place skill folders in `$CODEX_HOME/skills` and check each `SKILL.md` for use. This saves you time on repeat tasks, boosts code quality, speeds debugging, and helps build better apps faster.
https://github.com/Dimillian/Skills
GitHub
GitHub - Dimillian/Skills: My Codex Skills
My Codex Skills. Contribute to Dimillian/Skills development by creating an account on GitHub.