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🔍 Deep-diving into anthropics/financial-services — fresh off the trending list.

🔗 https://github.com/anthropics/financial-services
📝 No description.
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The anthropics/financial-services GitHub repository offers a collection of reference agents, skills, and data connectors designed to streamline financial services workflows, including investment banking, equity research, private equity, and wealth management.

Key features include named agents that automate end-to-end workflows, vertical plugins that bundle skills and commands for specific financial services verticals, and data connectors that integrate with various data providers.

To get started, users can install the repository as a Claude Cowork plugin or deploy it through the Claude Managed Agents API. The repository is file-based, using markdown and JSON, with no build step required.

Technical highlights include the use of MCP servers for data integration and the ability to customize connectors and skills to fit specific firm needs. The repository is suitable for financial services professionals looking to automate workflows and improve efficiency.

In a nutshell, the anthropics/financial-services repository is a powerful tool for financial services teams, offering a range of automated workflows and integrations to boost productivity — automate your financial workflows with ease.

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🔥 cheahjs/free-llm-api-resources is trending — and it deserves your attention.

🔗 https://github.com/cheahjs/free-llm-api-resources
📝 A list of free LLM inference resources accessible via API.
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The cheahjs/free-llm-api-resources GitHub repository provides a list of services that offer free access or credits towards API-based Large Language Model (LLM) usage. The repository is updated by a Python script and includes a warning not to abuse these services.

The key features of this repository include:
- A list of free providers such as OpenRouter, Google AI Studio, and NVIDIA NIM
- A list of providers with trial credits such as Fireworks and Baseten
- Model limits and usage guidelines for each provider

To use this repository, simply browse through the list of providers, check their limits and usage guidelines, and start using their APIs.

Some technical highlights of this repository include:
- OpenRouter with models like Gemma 3 12B Instruct and Llama 3.2 3B Instruct
- Google AI Studio with models like Gemini 3 Flash and Gemini 2.5 Flash
- NVIDIA NIM with various open models

This repository is useful for anyone looking to use LLM APIs without incurring significant costs, including developers, researchers, and students.

Don't abuse these free services, or we might lose them - use them wisely and build something amazing!

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🔍 Deep-diving into shiyu-coder/Kronos — fresh off the trending list.

🔗 https://github.com/shiyu-coder/Kronos
📝 Kronos: A Foundation Model for the Language of Financial Markets
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Kronos is the first open-source foundation model specifically designed for the language of financial markets, trained on data from over 45 global exchanges. This decoder-only model is pre-trained to handle the unique characteristics of financial data, leveraging a novel two-stage framework. It first quantizes continuous, multi-dimensional K-line data into hierarchical discrete tokens using a specialized tokenizer, and then pre-trains a large, autoregressive Transformer on these tokens.

The model is designed for diverse quantitative tasks and is available in various capacities, including Kronos-mini, Kronos-small, Kronos-base, and Kronos-large, to suit different computational and application needs. A live demo is available to visualize Kronos's forecasting results.

To get started, you can install the dependencies using pip install -r requirements.txt and load a pre-trained model and its corresponding tokenizer from the Hugging Face Hub. The KronosPredictor class handles data preprocessing, normalization, prediction, and inverse normalization, making it straightforward to generate forecasts.

Kronos is perfect for quantitative analysts and researchers looking for a powerful tool to forecast financial markets - forecast your way to financial insights with Kronos.

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🔥 bwya77/vscode-dark-islands is trending — and it deserves your attention.

🔗 https://github.com/bwya77/vscode-dark-islands
📝 VSCode theme based off the easemate IDE and Jetbrains islands theme
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Islands Dark is a stunning dark color theme for Visual Studio Code, inspired by the easemate IDE. It features floating glass-like panels, rounded corners, smooth animations, and a deeply refined UI.

The theme has two parts: a color theme and CSS customizations that create the floating glass panel look. To install, you can use the one-liner install or manual clone install. The theme is highly customizable, with key visual properties controlled by CSS custom properties.

Islands Dark is perfect for developers who want a unique and visually appealing coding experience. With its warm syntax highlighting and comprehensive language support, it's a great choice for coding in various programming languages.

The theme is suitable for developers of all levels, from beginners to experienced coders. Whether you're working on a small project or a large-scale application, Islands Dark provides a comfortable and efficient coding environment.

To get started, simply install the theme and customize it to your liking. With its easy installation process and highly customizable nature, you'll be coding in style in no time. Elevate your coding experience with Islands Dark - a theme that will make you love the darkness.

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💡 bytedance/deer-flow just hit the trending charts — here's why it matters.

🔗 https://github.com/bytedance/deer-flow
📝 An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
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DeerFlow is an open-source super agent harness that orchestrates sub-agents, memory, and sandboxes to streamline complex tasks. It's powered by extensible skills and offers a flexible, modular architecture.

To get started, you can use the make setup command to run an interactive wizard that guides you through the configuration process. This includes choosing an LLM provider, optional web search, and execution/safety preferences.

DeerFlow has several key features, including skills & tools, sub-agents, sandbox & file system, context engineering, and long-term memory. It also supports various deployment options, such as local development and Docker.

This project is ideal for developers and researchers looking to build custom AI-powered agents. With its InfoQuest integration and support for multiple LLM providers, DeerFlow offers a powerful platform for intelligent search and crawling.

One-liner takeaway: DeerFlow revolutionizes AI-powered task automation by providing a flexible, modular, and extensible framework for building custom super agents.

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🌟 D4Vinci/Scrapling caught my eye on GitHub Trending today.

🔗 https://github.com/D4Vinci/Scrapling
📝 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!
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Scrapling is an adaptive Web Scraping framework that simplifies the process of scraping websites, from a single request to a full-scale crawl. Its key features include automatic element relocation when website structures change, bypassing anti-bot systems like Cloudflare Turnstile, and a spider framework for concurrent, multi-session crawls with pause/resume and automatic proxy rotation.

To use Scrapling, you can start by using its StealthyFetcher to fetch websites under the radar, then scrape data with its css method. For more complex tasks, you can create a custom Spider class to scale up to full crawls.

Scrapling is built for both Web Scrapers and regular users, providing a simple and efficient way to extract data from websites. With its real-time stats and streaming features, you can monitor your crawls and adjust them as needed.

Here's an example of how to use Scrapling:
from scrapling.fetchers import StealthyFetcher
StealthyFetcher.adaptive = True
p = StealthyFetcher.fetch('https://example.com', headless=True, network_idle=True)
products = p.css('.product', auto_save=True)


Overall, Scrapling is a powerful and flexible framework that makes web scraping easier and more efficient. With its advanced features and simple usage, it's a great tool for anyone looking to extract data from websites. Start scraping like a pro with Scrapling - one library, zero compromises!

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🔍 Deep-diving into Hmbown/DeepSeek-TUI — fresh off the trending list.

🔗 https://github.com/Hmbown/DeepSeek-TUI
📝 Coding agent for DeepSeek models that runs in your terminal
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DeepSeek TUI is a terminal-based coding agent that streamlines your workflow by integrating file editing, shell commands, web search, git management, and more. It's built around DeepSeek V4, offering features like auto mode, thinking-mode streaming, and a full tool suite.

To get started, install deepseek-tui using npm, Cargo, or by downloading prebuilt binaries. You can then run deepseek in your terminal to access the TUI.

The app offers three modes: Plan (read-only), Agent (interactive), and YOLO (auto-approve). It also supports session save/resume, workspace rollback, and live cost tracking.

Key technical highlights include a ratatui interface, an async engine, and an OpenAI-compatible streaming client. The tool is designed for developers who want to boost their productivity and is available for Linux, macOS, and Windows.

In short, DeepSeek TUI is a powerful tool that helps you code smarter, not harder - streamline your workflow and take your productivity to the next level.

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