#python

This GitHub repo runs a 6-month experiment where ChatGPT manages a real $100 micro-cap stock portfolio daily, using trading data, strict 10% stop-losses, and weekly research to pick trades—outperforming the S&P 500 by 25% (+29% vs. +4%) in the first two months. It offers Python scripts, prompts, CSVs, performance charts, and a starter guide to run your own. You benefit by testing AI stock picking transparently with low risk, learning from logs to boost your trading skills or generate real returns.

https://github.com/LuckyOne7777/ChatGPT-Micro-Cap-Experiment

#java #cdc #chunjun #dataops #datax #etl #flink #flink_streaming #java

TIS is an easy enterprise data integration tool using batch (DataX) and streaming (Flink-CDC, Chunjun) with a simple interface to sync data end-to-end without complex scripts. Its v5.0.0 adds Pipeline AI Agent, letting you describe needs in natural language for auto-pipeline creation, smart plugin installs, and low-cost AI like DeepSeek. Install quickly via single-node, Docker, or K8S. This saves you time, cuts errors, simplifies ETL tasks, and boosts fun, efficient data pipelines for real-time analytics.

https://github.com/datavane/tis

#javascript #gemini #generative_ai #node_ytdl_core #youtube #youtube_adblock #youtube_dislikes #youtube_downloader #youtube_downloader_android #youtube_player #youtube_vanced #yt_adskip #yt_dlp #yt_viewer #yt_views_bot #ytdl #ytdl_core #ytpro

YT Pro is a tiny 50KB Android app that enhances YouTube with video/shorts/thumbnail/caption downloads, ad blocking, sponsor skipping, background play, PiP mode, dislike counts, Gemini AI video summaries, and auto-updates. Download the ZIP easily for quick install. It saves you time and data by blocking ads, downloading content offline, customizing playback with gestures, and summarizing long videos instantly for better productivity.

https://github.com/prateek-chaubey/YTPro

#python #agent #agent_framework #browsecomp #deep_research #futurex #gaia #hle #research_agent #search_agent #xbench

MiroThinker v1.5 is the top open-source AI search agent with a 256K context window and up to 400 tool calls per task for deep web research, code execution, and multi-step reasoning. It leads benchmarks like HLE-Text (39.2%), BrowseComp (69.8%), and GAIA (80.8%), beating other free agents at low cost. You benefit by getting accurate, real-world research help—like finding arXiv papers or solving complex queries—faster and cheaper than paid tools, with full open-source access on GitHub and Hugging Face.

https://github.com/MiroMindAI/MiroThinker

#python #large_language_models #llms #long_video_understanding #multi_modal_llms #rag #retrieval_augmented_generation

Vimo is a desktop app that lets me chat with any video, from short clips to hundreds of hours, in simple natural language. I can drag and drop videos, ask questions, find exact moments, compare multiple videos, and export useful insights, all on macOS, Windows, or Linux. Powering this is the VideoRAG algorithm, which deeply understands visual, audio, and contextual information, giving accurate answers even for very long videos. This helps me save time, understand complex content faster, and turn large video libraries into searchable, usable knowledge.

https://github.com/HKUDS/VideoRAG

#python #agent #agentic_ai #agentic_framework #agentic_workflow #ai #ai_agents #ai_companion #ai_roleplay #benchmark #framework #llm #mcp #memory #open_source #python #sandbox

MemU lets AI systems take in conversations, documents, and media, turn them into structured memories, and store them in a clear three-layer file system. It offers both fast embedding search and deeper LLM-based retrieval, works with many data types, and supports cloud or self-hosted setups with simple APIs. This helps you build AI agents that truly remember past interactions, retrieve the right context when needed, and improve over time, making your applications more accurate, personal, and efficient.

https://github.com/NevaMind-AI/memU

#python

AlpaSim is an open-source simulator that lets me test full autonomous driving systems in realistic, closed-loop virtual environments. It gives me high-quality camera and sensor data, realistic vehicle physics, and complex traffic scenarios, all configurable for my experiments. Because it is modular, Python-based, and built on microservices, I can easily plug in my own algorithms, scale across machines, and debug tricky behaviors. Built-in support for advanced driving policies, rich documentation, and sample datasets helps me quickly validate, compare, and improve my models while reducing the cost and risk of real-world testing.

https://github.com/NVlabs/alpasim

#typescript #css #css_framework #functional_css #postcss #responsive #tailwindcss #utility_classes

Tailwind CSS is a utility-first CSS framework that lets you style websites by adding small, reusable classes directly in your HTML, instead of writing separate CSS files. It provides ready‑made utilities for layout, spacing, colors, and more, so you can build custom user interfaces quickly and consistently. Clear documentation, an active community, and contribution guidelines make it easier to learn, get help, and even contribute to the project, which can save time, reduce CSS complexity, and speed up your UI development.

https://github.com/tailwindlabs/tailwindcss

#shell

Superpowers turns a coding agent into a disciplined helper that first clarifies what you want, then designs, plans, and implements features using clear steps and strict test‑driven development. It automatically manages branches, breaks work into tiny tasks, uses sub‑agents with built‑in reviews, and enforces quality checks before merging. You benefit by getting more reliable code, less babysitting of the AI, safer experimentation in isolated branches, and a repeatable workflow that feels like working with a careful junior engineer who always follows best practices.

https://github.com/obra/superpowers

#python #n8n #n8n_workflow #workflows

n8n offers ready-made templates for creating AI agents that automate content creation and business tasks. These templates cover everything from generating social media posts and videos to researching topics and managing leads—all without requiring coding skills. By using these pre-built workflows, you can quickly launch automation projects for marketing, content production, and lead generation, saving time and reducing manual work while scaling your business operations efficiently.

https://github.com/gyoridavid/ai_agents_az

#shell #ai #ai_agent #ai_agents #ai_development #ai_development_tools #claude_code #claude_code_cli #development_tools #development_workflow

Ralph lets Claude Code work on a software project in a loop until the tasks are truly finished, while safely avoiding infinite runs and API overuse. It can import your existing requirement documents, turn them into a structured project with tasks, and then automatically code, test, and track progress with logs and live monitoring. Built‑in session management, rate limiting, circuit breakers, and JSON‑based error handling keep long runs stable. This helps you offload repetitive development work and move faster from ideas and specs to working code.

https://github.com/frankbria/ralph-claude-code