#python
Zen MCP Server lets you use your favorite command-line AI tools like Claude Code, Gemini CLI, or Codex CLI together with many AI models (Gemini, OpenAI, Anthropic, and more) in one smooth workflow. It connects these models so they can collaborate, share context, and specialize in tasks like code review, debugging, or planning, making your coding smarter and faster. You stay in control, choosing which AI to use and when, while Zen handles context continuity and model orchestration. This means better code quality, deeper insights, and efficient teamwork from multiple AI experts all within your CLI environment.
https://github.com/BeehiveInnovations/zen-mcp-server
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This tool is a Chinese-enhanced AI system for financial trading decisions, supporting A-shares, Hong Kong, and US stock markets. It uses multiple smart agents to analyze fundamentals, technical data, news, and social media, then debates and makes investment suggestions with risk management. You get a fully Chinese interface, real-time progress tracking, and professional reports exportable in Word, PDF, or Markdown. It supports many AI models, including Chinese and global providers, with easy switching and persistent settings. Deployment is simple via Docker or local install. This helps you make smarter, data-driven investment decisions efficiently with AI tailored for Chinese markets.
https://github.com/hsliuping/TradingAgents-CN
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Tunix is an open-source library built on JAX that helps you easily improve large language models after their initial training. It supports fine-tuning with supervised learning, reinforcement learning, and knowledge distillation, making models more accurate and better aligned with user needs. Tunix works efficiently on TPUs and integrates well with JAX tools, allowing you to customize training and scale across devices. It simplifies complex steps like preference tuning by removing the need for separate reward models. Using Tunix, you can tailor AI models for specific tasks, improving their reasoning, accuracy, and response quality for practical applications in fields like healthcare and finance.
https://github.com/google/tunix
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This tool helps you create long, logical, and consistent novels automatically using advanced AI language models. It guides you step-by-step: first setting up your story’s world, characters, and plot outline; then generating chapter titles and summaries; next drafting each chapter with context awareness to keep the story coherent; and finally reviewing and finalizing chapters to avoid contradictions. It offers a user-friendly interface and supports customization like story theme, genre, chapter count, and length. This saves you time and effort in novel writing by automating complex tasks while letting you control the creative process.
https://github.com/YILING0013/AI_NovelGenerator
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You can use the Claude Agent SDK for Python to easily build AI agents that interact with Claude, a powerful AI system. It lets you send queries asynchronously, use built-in or custom tools, and manage conversations with advanced options like hooks for automated checks. The SDK runs tools inside your Python process for better speed and simpler setup, avoiding extra subprocesses. It supports error handling and lets you control permissions and working directories. This helps you create smart assistants for coding, business, or other tasks efficiently, with clear examples and easy installation using Python 3.10+, Node.js, and the Claude Code CLI tool.
https://github.com/anthropics/claude-agent-sdk-python
#python
Helium is a Chromium-based web browser designed for strong privacy and easy use. It blocks ads, trackers, and harmful scripts by default without extra setup, ensuring your browsing is private and fast. It has no ads, no bloat, and no interruptions, so you stay focused and in control. Helium works on macOS, Linux, and Windows, and its source code is open for transparency. You can download it easily from its website, which picks the right version for your system. Using Helium helps you browse safely and smoothly without worrying about privacy or annoying ads.
https://github.com/imputnet/helium
#python
You can use a Python script with Selenium or Appium to automatically buy tickets on Damai (大麦网) without delay. By setting up Python, installing required packages, and configuring a file with your desired concert details (like city, date, price, and attendees), the script simulates the buying process and can auto-submit orders for you. This saves you time and effort, increasing your chances of getting tickets quickly during high-demand sales. For mobile app ticket buying, Appium automates the process but requires extra setup like Node.js and Android SDK. This automation helps you avoid manual refreshing and speeds up ticket purchase.
https://github.com/WECENG/ticket-purchase
#python
AIPy lets you interact with a large language model (LLM) through a full Python environment, so you can describe your data tasks in plain English and it automatically writes and runs Python code for you. This means you don’t have to manually type or copy code for data processing like cleaning, analyzing, or visualizing files. You can switch between simple task mode (for beginners) and Python mode (for advanced users), making it easy to handle complex data work efficiently. This saves time and effort by combining natural language instructions with direct Python execution in one tool.
https://github.com/knownsec/aipyapp
#python
TimesFM is a powerful time-series forecasting model from Google Research, pretrained on 100 billion real-world data points, making it highly accurate even without retraining on new data. The latest version, TimesFM 2.5, is smaller (200M parameters) but supports longer input sequences and advanced forecasting features like continuous quantile forecasts. It can handle multiple time series and external factors, improving prediction quality for tasks like demand planning or weather forecasting. You can easily install and use it with Python, benefiting from fast, reliable forecasts across many applications without needing extensive model training. This saves time and effort while providing strong results.
https://github.com/google-research/timesfm
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ROMA is an open-source framework that helps you build smart multi-agent AI systems by breaking big, complex tasks into smaller parts that agents can work on at the same time. It uses a clear, step-by-step process where tasks are split, solved, and combined, making it easy to understand and fix problems. You can connect any AI model or tool, and it supports secure code execution and fast data access. This means you can create powerful, flexible AI agents for research, analysis, or other tasks, with full control and transparency over how they work, saving you time and effort in solving complex problems.
https://github.com/sentient-agi/ROMA
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BlenderMCP connects Blender with Claude AI, letting you control 3D modeling and scene creation using simple text commands. You can create, modify, and delete objects, apply materials, adjust lighting, and even run Python scripts inside Blender through AI. It also supports downloading assets from Poly Haven and generating models with Hyper3D Rodin. This makes 3D design faster, easier, and more interactive, especially if you want to break down complex tasks or work step-by-step. It works on multiple platforms and integrates with tools like Visual Studio Code and Cursor for smooth workflows. Just install the Blender addon and set up the MCP server to start using AI-assisted 3D modeling.
https://github.com/ahujasid/blender-mcp
#python
XLeRobot is a low-cost, easy-to-assemble household robot platform starting at about $660, designed for general manipulation tasks with dual arms and mobile capability. It supports various camera options and can be controlled via keyboard, Xbox controller, or VR devices without Wi-Fi, offering zero latency. The project provides detailed guides for buying parts, 3D printing, assembly, and software setup, making it accessible for robotics enthusiasts and learners. This robot helps you explore embodied AI affordably, enabling hands-on experience with autonomous household tasks and robotics research, all backed by active development and community support.
https://github.com/Vector-Wangel/XLeRobot