🚀 Meet ocornut/imgui: a gem from today's GitHub trending list.

🔗 https://github.com/ocornut/imgui
📝 Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies
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README not available for this repository.

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🧠 Channel: https://t.iss.one/GithubRe

🌟 pascalorg/editor caught my eye on GitHub Trending today.

🔗 https://github.com/pascalorg/editor
📝 Create and share 3D architectural projects.
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The pascalorg/editor GitHub repository presents a 3D building editor built with React Three Fiber and WebGPU. This editor is part of a larger monorepo, utilizing Turborepo for management, and is designed to be extensible through plugins.

Key features include a 3D rendering runtime via React Three Fiber, editing tools for interacting with the 3D environment, and a registry system for efficient access to 3D objects. The editor's architecture is modular, with separate packages for core functionality, viewer logic, and editor tools, ensuring a clear separation of concerns.

For usage, developers can install necessary packages and load plugins to extend the editor's capabilities. The repository also highlights technical highlights such as the use of Zustand for state management, Zundo for undo/redo functionality, and three-bvh-csg for Boolean geometry operations.

The primary audience for this repository appears to be developers interested in 3D modeling, building information modeling (BIM), and those looking to create custom plugins for the editor.

To get started, developers can run the development server with bun dev and explore the provided documentation and examples, including a worked example plugin for creating procedural trees and flowers.

In summary, the pascalorg/editor repository offers a powerful tool for 3D building editing, with a modular architecture, extensible through plugins, and a robust set of features for developers to explore - start building your 3D world with pascalorg/editor today!

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🧠 Channel: https://t.iss.one/GithubRe

🌟 jenkinsci/jenkins caught my eye on GitHub Trending today.

🔗 https://github.com/jenkinsci/jenkins
📝 Jenkins automation server
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The Jenkins project is an open-source automation server that helps streamline your development workflow. Its primary purpose is to automate repetitive tasks, allowing you to focus on more critical aspects of your project. With over 2,000 plugins available, Jenkins supports automating various tasks, including building projects, running tests, and deployment.

To get started with Jenkins, you can download the official distributions, which are available as WAR files, Docker images, native packages, and installers for various platforms. Jenkins offers two release lines: Weekly and Long-Term Support (LTS), which cater to different user needs.

The project is governed by an open-source community, and its source code is available on GitHub. If you're interested in contributing to Jenkins, you can start by reading the Contribution Guidelines and checking out the good first issues.

Jenkins is trusted by millions of users and adopted by thousands of companies worldwide. Its license is under the MIT License, making it accessible to everyone.

To get the most out of Jenkins, you can explore the official website, which offers documentation, blog posts, and community updates. You can also follow Jenkins on social media to stay connected with the community.

In summary, Jenkins is a powerful automation server that can help optimize your development process. With its extensive plugin ecosystem and open-source community, it's an excellent choice for teams and individuals looking to streamline their workflows.
Automate your development workflow with Jenkins - and focus on what matters most!

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🧠 Channel: https://t.iss.one/GithubRe

🔥 moeru-ai/airi is trending — and it deserves your attention.

🔗 https://github.com/moeru-ai/airi
📝 💖🧸 Self hosted, you-owned Grok Companion, a container of souls of waifu, cyber livings to bring them into our worlds, wishing to achieve Neuro-sama's altitude. Capable of realtime voice chat, Minecraft, Factorio playing. Web / macOS / Windows supported.
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The moeru-ai/airi GitHub repository is home to Project AIRI, an innovative endeavor to create a digital companion or cyber waifu that can interact with users in a lifelike manner. Heavily inspired by Neuro-sama, a popular virtual streamer, AIRI aims to provide a unique experience by enabling users to own their digital life and interact with their virtual companion anywhere, anytime.

In terms of key features, AIRI boasts a range of capabilities, including the ability to play games, chat, and engage in various activities. The project leverages modern large language models like ChatGPT and Claude to power its conversational abilities.

To get started with AIRI, users can download the latest release from the GitHub repository or install it using winget or Scoop on Windows, or Homebrew Cask on macOS. The project also provides a web-based interface for users to interact with their digital companion.

From a technical standpoint, AIRI is built using a range of technologies, including Electron for the desktop application and web technologies for the web-based interface. The project also utilizes machine learning models to power its conversational abilities.

The AIRI project is suitable for a wide range of users, including developers interested in contributing to the project, users looking for a unique digital companion experience, and researchers interested in exploring the possibilities of AI-driven virtual companions.

In summary, the moeru-ai/airi repository is an exciting project that offers a unique digital companion experience, and its open-source nature makes it an excellent opportunity for developers and researchers to contribute and learn. AIRI is revolutionizing the way we interact with digital companions, and it's an project you won't want to miss!

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🧠 Channel: https://t.iss.one/GithubRe

📌 Spotted on GitHub Trending: andrewyng/aisuite — let's break it down.

🔗 https://github.com/andrewyng/aisuite
📝 Simple, unified interface to multiple Generative AI providers
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The aisuite GitHub repository offers a lightweight Python library for building applications with large language models (LLMs). It features a unified Chat Completions API across multiple providers, including OpenAI, Anthropic, and Google, allowing for easy switching between them by changing a single string. The library also includes an Agents API with tools and toolkits for building more complex applications.

To get started with aisuite, you can install it using pip install aisuite, and then use the Client class to interact with the chat API. For example:

import aisuite as ai
client = ai.Client()
response = client.chat.completions.create(
    model="openai:gpt-4o",
    messages=[{"role": "user", "content": "Hello, how are you?"}],
    temperature=0.75
)
print(response.choices[0].message.content)

aisuite is designed to be extensible, with a modular architecture that allows developers to add new providers and tools easily. The repository includes a Contributing Guide and a MIT License, making it easy for developers to get involved and use the library in their projects.

Overall, aisuite is a powerful tool for building applications with LLMs, and its unified API and extensible architecture make it a great choice for developers looking to work with multiple providers and tools. So why not harness the power of AI and start building with aisuite today?

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🧠 Channel: https://t.iss.one/GithubRe

🚀 Meet affaan-m/ECC: a gem from today's GitHub trending list.

🔗 https://github.com/affaan-m/ECC
📝 The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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The ECC repository provides an agent harness operating system, offering a coordinated engineering system and toolbox for agents to write code. It includes 67 agents, 281 skills, and 94 legacy command shims, along with features like hooks, rules, memory, continuous learning, and AgentShield security scanning.

ECC works with various harnesses, including Claude Code and Codex, and can be installed through different methods. The recommended default is to install the Claude Code plugin for Claude Code and use the supported sync flow for Codex.

The repository is MIT-licensed and open source, with a focus on providing a standardized process for agents to plan, test, implement, review, verify, and remember their work. The goal of ECC is to optimize the context window and persist everything else, making it a valuable tool for those looking to streamline their agent-based workflows.

The ECC system is designed to be user-friendly, with a simple installation process and a wide range of features to support agent development. Whether you're working with Claude Code, Codex, or another harness, ECC provides a powerful toolkit to help you get the most out of your agents.

Here's a sample

installation command

for Claude Code:

/plugin marketplace add https://github.com/affaan-m/ECC
/plugin install ecc@ecc

In summary, ECC is a powerful tool for agent harness operating systems, providing a wide range of features and a user-friendly installation process. Its focus on optimizing the context window and persisting everything else makes it an ideal choice for those looking to streamline their agent-based workflows. With ECC, you can unlock the full potential of your agents and take your workflows to the next level.

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🧠 Channel: https://t.iss.one/GithubRe

🔍 Deep-diving into huggingface/speech-to-speech — fresh off the trending list.

🔗 https://github.com/huggingface/speech-to-speech
📝 Build local voice agents with open-source models
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The huggingface/speech-to-speech repo is an open-source pipeline for building voice agents. It consists of four interchangeable components: Voice Activity Detection (VAD), Speech to Text (STT), Language Model (LLM), and Text to Speech (TTS). The pipeline is modular, allowing users to swap out components as needed, and is exposed through an OpenAI Realtime-compatible WebSocket API.

The repo provides a range of features, including support for multiple STT and TTS models, as well as the ability to run the pipeline in different modes, such as realtime, local, websocket, and socket.

The pipeline is designed to be easy to use, with a simple pip install process and a range of optional backends that can be installed with pip extras. The repo also includes a range of examples and scripts to help users get started.

The target audience for this repo appears to be developers who want to build voice agents or other applications that require speech-to-speech functionality. With its modular design and support for multiple models and modes, huggingface/speech-to-speech is a powerful tool for anyone looking to build innovative voice-based applications.

Build your own voice agent with huggingface/speech-to-speech and revolutionize the way you interact with technology!

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🧠 Channel: https://t.iss.one/GithubRe

🔥 virgiliojr94/book-to-skill is trending — and it deserves your attention.

🔗 https://github.com/virgiliojr94/book-to-skill
📝 Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
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Book-to-Skill is a tool that turns any technical book, document folder, or collection of sources into a unified agent skill. This allows you to study, reference, and use the information while working in GitHub Copilot CLI, Amp, or Claude Code.

The tool works by distilling the book into a skill, including frameworks, decision rules, anti-patterns, and per-chapter files, and then loading it on demand. It supports various document formats, including PDF, EPUB, DOCX, and more.

Key features include:

* Turning books into structured skills that can be loaded on demand
* Supporting multiple document formats
* Generating core mental models, chapter index, glossary, patterns, and cheatsheet
* Allowing for updates and folding in of new material

The tool is designed for practitioners who want to get the most out of their technical books and documents. It's ideal for those who re-read documents often and want to make the information more accessible and usable.

From a technical standpoint, the tool uses various extraction methods, including Docling for technical books and pdftotext for text-heavy books. It also uses Claude to analyze the structure of the book and generate per-chapter summaries.

Usage is simple: just point the tool at a file, folder, or glob, and it will generate a full skill in your agent's skills directory.

Takeaway: With Book-to-Skill, you can turn any technical book into a powerful agent skill, making it easier to access and use the information you need to get the job done.

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🧠 Channel: https://t.iss.one/GithubRe

🔍 Deep-diving into opengeos/GeoLibre — fresh off the trending list.

🔗 https://github.com/opengeos/GeoLibre
📝 A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web browser, on the desktop, on mobile, and inside Jupyter notebooks.
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Meet GeoLibre, a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. Key features include 3D Tiles, planetary basemaps, and a SQL Workspace.

To get started, you can launch the web app, download the desktop app, or run from source. The platform is built with Tauri v2, React, TypeScript, MapLibre GL JS, DuckDB-WASM Spatial, and deck.gl.

Technical highlights include a responsive design, a per-project ellipsoid for accurate distance and area measurements, and a plugin architecture. The platform is suitable for GIS professionals, data analysts, and researchers working with geospatial data.

In short, GeoLibre is a powerful tool that makes geospatial analysis accessible anywhere, anytime - and the best part is, it's completely free and open-source!

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🧠 Channel: https://t.iss.one/GithubRe

🔥 paperswithbacktest/awesome-systematic-trading is trending — and it deserves your attention.

🔗 https://github.com/paperswithbacktest/awesome-systematic-trading
📝 A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
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The Awesome Systematic Trading GitHub repository is a treasure trove of resources for quantitative traders, featuring 97 libraries and packages, 40+ strategies, 55 books, 23 videos, and blogs and courses to help you find, develop, and run systematic trading strategies. You can explore backtesting and live trading frameworks, trading bots, analytics tools, and more. The repository is divided into sections, including libraries and packages, strategies, books, and videos, making it easy to navigate and find what you need. Whether you're a beginner or a professional, this repository has something for everyone. So, dive in and start exploring - your next trading strategy might just be a click away!

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🧠 Channel: https://t.iss.one/GithubRe

🎯 microsoft/agent-governance-toolkit landed on trending. Worth a proper look.

🔗 https://github.com/microsoft/agent-governance-toolkit
📝 AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.
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The Agent Governance Toolkit is an open-source framework that helps you manage and govern autonomous AI agents. Its primary goal is to ensure that AI agents behave as intended and follow the rules. The toolkit provides features like policy enforcement, identity management, sandboxing, and auditing to prevent potential risks.

Key Features:
- Policy Engine: Enforces rules and restrictions on AI agent actions
- Identity Management: Ensures that agents are authenticated and authorized
- Sandboxing: Limits agent privileges to prevent damage
- Auditing: Tracks and logs agent actions for transparency and accountability

To get started, you can install the toolkit using pip install agent-governance-toolkit[full] and follow the quick start guide. The toolkit supports multiple programming languages, including Python, TypeScript, .NET, Rust, and Go.

From a technical standpoint, the toolkit uses a stateless, deterministic, fail-closed policy decision runtime to ensure that agent actions are allowed or denied based on predefined rules. It also provides a range of tools and capabilities, including a CLI for verifying compliance and a PolicyEvaluator API for programmatic control.

The Agent Governance Toolkit is designed for developers, security teams, and organizations that work with autonomous AI agents. It's particularly useful for those who need to ensure that their agents comply with regulations and policies.

In summary, the Agent Governance Toolkit is a powerful framework for governing autonomous AI agents, providing a range of features and tools to ensure that agents behave as intended. With its easy-to-use govern() function, you can govern any tool function in just two lines of code - giving you peace of mind and a good night's sleep, knowing your AI agents are under control!

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🧠 Channel: https://t.iss.one/GithubRe