🌟 penpot/penpot caught my eye on GitHub Trending today.

🔗 https://github.com/penpot/penpot
📝 Penpot: The open-source design tool for design and code collaboration
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Penpot is an open-source design platform that empowers teams to build digital products at scale, giving them full ownership of their design infrastructure. With real-time collaboration, Penpot strengthens the foundation for teams to scale and brings design closer to the product. The platform is built on open standards like SVG, CSS, HTML, and JSON, and works in the browser or deployed on your own servers.

Key features include best-in-class native Design Tokens, a powerful open API, and a plugin system that enables automation, AI-driven workflows, and integrations. Penpot plugins let you expand the platform's capabilities, integrate it with other apps, and design custom solutions.

As a self-hosted, open-source, and real-time collaboration platform, Penpot offers full flexibility, security, and ownership without vendor lock-in. It's perfect for teams that need to manage design systems at scale and want to ship what's actually designed.

Penpot is suitable for designers, developers, and teams who want to create a fluid design-code process. The platform provides a single source of truth with native Design Tokens, Components, and Variants for scalable, reusable, and consistent UI across projects and platforms.

Get started with Penpot by using it in the cloud or deploying it anywhere, and join the Penpot community to contribute, ask questions, and participate in discussions.

In short, Penpot is the ultimate open-source design platform for teams that want to take control of their design infrastructure and create amazing digital products - design, collaborate, and ship with Penpot!

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⚡ Stirling-Tools/Stirling-PDF is making waves. Here's the full picture.

🔗 https://github.com/Stirling-Tools/Stirling-PDF
📝 #1 PDF Application on GitHub that lets you edit PDFs on any device anywhere
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Stirling PDF is an open-source PDF editing platform that allows users to edit, sign, redact, convert, and automate PDFs without sending documents to external services. Key features include a desktop client, browser UI, and self-hosted server with a private API, as well as 50+ PDF tools and automation & workflows. To get started, use the docker run command:

docker run -p 8080:8080 docker.stirlingpdf.com/stirlingtools/stirling-pdf

This platform is perfect for individuals and enterprises looking for a secure and flexible PDF solution. With its global UI available in 40+ languages and REST APIs for integration, Stirling PDF is a powerful tool for anyone looking to streamline their PDF workflow. Take control of your PDFs with Stirling PDF - the ultimate PDF power tool.

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⚡ garrytan/gstack is making waves. Here's the full picture.

🔗 https://github.com/garrytan/gstack
📝 Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
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Boost your productivity with gstack, an open-source software factory that leverages AI to streamline your development workflow. gstack is the brainchild of Garry Tan, President & CEO of Y Combinator, who has used it to ship 3 production services and 40+ features in just 60 days.

Key features include automated code review, QA testing, and release automation, all accessible via simple slash commands. gstack integrates with Claude Code and other AI agents, allowing you to work more efficiently. The gstack process follows a logical sequence: Think → Plan → Build → Review → Test → Ship → Reflect.

Target audience includes founders, CEOs, first-time Claude Code users, tech leads, and staff engineers. To get started, simply install gstack and run the /office-hours command to begin your project.

Don't just code, ship like a team of twenty with gstack - your virtual engineering team is just a slash command away.

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💡 heygen-com/hyperframes just hit the trending charts — here's why it matters.

🔗 https://github.com/heygen-com/hyperframes
📝 Write HTML. Render video. Built for agents.
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HyperFrames is an open-source framework that turns HTML, CSS, media, and animations into deterministic MP4 videos. It allows users to create videos by writing HTML, adding data attributes for timing and tracks, and using libraries like GSAP or CSS for seekable animation. Key features include a CLI for previewing and rendering videos, a catalog of reusable blocks and components, and support for AI coding agents. HyperFrames can be used locally or with Docker, and it renders videos using headless Chrome and FFmpeg.

The framework is agent-friendly, allowing coding agents to write HTML and produce videos without requiring proprietary timeline formats. It's also deterministic, producing the same output from the same input, making it suitable for CI and automated rendering. The HyperFrames stack includes a growing set of tools, including a studio for previewing and editing compositions and a community playground for sharing and rendering HTML-native video projects.

Technical highlights include the ability to use custom animation runtimes, a non-interactive CLI by default, and no build step required for compositions. Audience includes developers, designers, and content creators looking to produce high-quality videos using HTML and CSS.

In summary, HyperFrames provides a unique approach to video creation, allowing users to write HTML and produce deterministic MP4 videos, making it an exciting tool for those looking to automate video production: write once, render anywhere.

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🔍 Deep-diving into tursodatabase/turso — fresh off the trending list.

🔗 https://github.com/tursodatabase/turso
📝 Turso is an in-process SQL database, compatible with SQLite.
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The Turso Database is an in-process SQL database written in Rust, compatible with SQLite. Its key features include SQLite compatibility, BEGIN CONCURRENT for improved write throughput, and change data capture (CDC) for real-time tracking of database changes.

To get started, you can install the latest turso release and launch the interactive shell with tursodb. You can also build and run the latest development version with cargo run or use docker by running make docker-cli-build and make docker-cli-run.

The database supports multi-language bindings for languages like Go, JavaScript, Java, .NET, Python, and Rust. Example usage for each language is provided in the documentation. For instance, in Rust, you can use cargo add turso and then connect to the database with let db = Builder::new_local("sqlite.db").build().await?.

Additionally, the Turso CLI includes a built-in Model Context Protocol (MCP) server that allows AI assistants to interact with your databases. You can start the MCP server with tursodb your_database.db --mcp and configure it with various MCP clients like Claude Code, Claude Desktop, or Cursor.

Overall, Turso Database is a powerful and flexible solution for database management, with a wide range of features and language support. Take your database management to the next level with Turso Database - the future of in-process SQL databases!

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🎯 bytedance/deer-flow landed on trending. Worth a proper look.

🔗 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 enables efficient research and exploration by orchestrating sub-agents, memory, and sandboxes with extensible skills. It's a ground-up rewrite of the original Deep Research framework, now available in version 2.0.

Key features include skills and tools like Claude Code integration, sub-agents, sandbox and file system, context engineering, and long-term memory.

To get started, you can clone the repository and run the setup wizard with make setup, then choose your deployment option: make dev for local development, make docker-start for Docker development, or make up for a long-running server.

DeerFlow is ideal for developers, researchers, and power users looking for a flexible and customizable platform.

One-liner takeaway: DeerFlow is a powerful, open-source super agent harness that streamlines research and exploration with its unique combination of sub-agents, memory, and sandboxes.

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🎯 DeusData/codebase-memory-mcp landed on trending. Worth a proper look.

🔗 https://github.com/DeusData/codebase-memory-mcp
📝 High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
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Introducing codebase-memory-mcp, the fastest and most efficient code intelligence engine for AI coding agents. This cutting-edge tool full-indexes an average repository in milliseconds and the Linux kernel in just 3 minutes. It answers structural queries in under 1ms, making it a game-changer for developers.

Key features include high-quality parsing through tree-sitter AST analysis across 158 languages, Hybrid LSP semantic type resolution for 11 languages, and a persistent knowledge graph of functions, classes, call chains, and more. The tool is plug and play across 11 coding agents, with zero dependencies and a single static binary for macOS, Linux, and Windows.

Technical highlights include RAM-first pipeline with LZ4 compression, in-memory SQLite, and fused Aho-Corasick pattern matching. The tool also features built-in graph visualization and infrastructure-as-code indexing for Dockerfiles, Kubernetes manifests, and Kustomize overlays.

Usage is straightforward, with a one-line install command and auto-sync background watcher for detecting file changes. The tool is designed for developers and researchers looking to supercharge their coding workflow with AI-powered code intelligence.

Takeaway: With codebase-memory-mcp, you can index your codebase in minutes and query it in milliseconds – it's a total game-changer for coding productivity.

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🌟 ZhuLinsen/daily_stock_analysis caught my eye on GitHub Trending today.

🔗 https://github.com/ZhuLinsen/daily_stock_analysis
📝 LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.
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Daily Stock Analysis is a powerful AI-driven stock analysis system designed to provide users with a comprehensive and intelligent analysis of their selected stocks.

The system offers key features such as AI decision reports, multi-market data aggregation, web/desktop workspaces, and automatic push notifications to various platforms like WeChat, Telegram, and email.

To get started, users can choose from two methods: GitHub Actions or local/client deployment. The GitHub Actions method allows for zero-cost deployment in just 5 minutes, while the local/client deployment method requires installing dependencies and configuring environment variables.

Technically, the system utilizes a range of AI models, including Anspire, AIHubMix, and Gemini, and supports various data sources like TickFlow, AkShare, and Tushare.

The system is designed for individual investors and researchers looking to gain a deeper understanding of the stock market and make informed investment decisions.

In a nutshell, Daily Stock Analysis is an intelligent and user-friendly system that empowers users to take control of their investments with data-driven insights.

Takeaway: With Daily Stock Analysis, you can unlock the full potential of AI-driven stock analysis and make informed investment decisions with ease.

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