Github Top Repositories
Photo
🎯 github/copilot-sdk landed on trending. Worth a proper look.
🔗 https://github.com/github/copilot-sdk
📝 Multi-platform SDK for integrating GitHub Copilot Agent into apps and services
──────────────────────────────
The GitHub Copilot SDK allows you to embed Copilot's agentic workflows into your application. It exposes the same engine as the Copilot CLI, handling planning, tool invocation, and file edits. The SDK is available for Python, TypeScript, Go, .NET, Java, and Rust, with each implementation providing a production-tested agent runtime that can be invoked programmatically.
To get started, you can
Key features include support for BYOK (Bring Your Own Key), custom agents, skills, and tools, as well as multiple authentication methods. The SDK is production-ready and follows semantic versioning.
Whether you're a developer looking to streamline your workflow or a business seeking to automate tasks, the GitHub Copilot SDK is a powerful tool to consider. With its robust features and ease of use, it's an ideal solution for anyone looking to harness the power of Copilot in their application.
The GitHub Copilot SDK is a game-changer for developers: it puts the power of AI directly into your code.
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/github/copilot-sdk
📝 Multi-platform SDK for integrating GitHub Copilot Agent into apps and services
──────────────────────────────
The GitHub Copilot SDK allows you to embed Copilot's agentic workflows into your application. It exposes the same engine as the Copilot CLI, handling planning, tool invocation, and file edits. The SDK is available for Python, TypeScript, Go, .NET, Java, and Rust, with each implementation providing a production-tested agent runtime that can be invoked programmatically.
To get started, you can
install the SDK using the provided commands, then define agent behavior and let Copilot handle the rest. The SDK communicates with the Copilot CLI server via JSON-RPC, managing the CLI process lifecycle automatically.Key features include support for BYOK (Bring Your Own Key), custom agents, skills, and tools, as well as multiple authentication methods. The SDK is production-ready and follows semantic versioning.
Whether you're a developer looking to streamline your workflow or a business seeking to automate tasks, the GitHub Copilot SDK is a powerful tool to consider. With its robust features and ease of use, it's an ideal solution for anyone looking to harness the power of Copilot in their application.
The GitHub Copilot SDK is a game-changer for developers: it puts the power of AI directly into your code.
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
❤1
🔥 PostHog/posthog is trending — and it deserves your attention.
🔗 https://github.com/PostHog/posthog
📝 🦔 PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
──────────────────────────────
PostHog is an open-source platform for building self-driving products, providing a range of tools to help you understand user behavior and optimize your product. With PostHog, you can capture product analytics, web analytics, and session replays, as well as set up feature flags, experiments, and error tracking. The platform also includes a data warehouse, data pipelines, and AI observability features.
To get started with PostHog, you can sign up for a free account on PostHog Cloud or self-host the platform using Docker. The platform offers a generous free tier and transparent pricing for its paid plan.
PostHog has a large community of contributors and offers extensive documentation, including a company handbook, product guides, and developer resources. The platform is written in a variety of languages, including
Whether you're a product manager, developer, or data analyst, PostHog has the tools you need to build a successful product. So why not give it a try and see how PostHog can help you drive growth and revenue? With its powerful features and flexible pricing, PostHog is the perfect choice for anyone looking to take their product to the next level: build better products, faster.
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/PostHog/posthog
📝 🦔 PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
──────────────────────────────
PostHog is an open-source platform for building self-driving products, providing a range of tools to help you understand user behavior and optimize your product. With PostHog, you can capture product analytics, web analytics, and session replays, as well as set up feature flags, experiments, and error tracking. The platform also includes a data warehouse, data pipelines, and AI observability features.
To get started with PostHog, you can sign up for a free account on PostHog Cloud or self-host the platform using Docker. The platform offers a generous free tier and transparent pricing for its paid plan.
PostHog has a large community of contributors and offers extensive documentation, including a company handbook, product guides, and developer resources. The platform is written in a variety of languages, including
JavaScript, Python, and Node, and has SDKs and libraries for popular frameworks like React and Angular.Whether you're a product manager, developer, or data analyst, PostHog has the tools you need to build a successful product. So why not give it a try and see how PostHog can help you drive growth and revenue? With its powerful features and flexible pricing, PostHog is the perfect choice for anyone looking to take their product to the next level: build better products, faster.
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
❤1
Github Top Repositories
Photo
💡 microsoft/terminal just hit the trending charts — here's why it matters.
🔗 https://github.com/microsoft/terminal
📝 The new Windows Terminal and the original Windows console host, all in the same place!
──────────────────────────────
The Windows Terminal is a modern, feature-rich terminal application for command-line users. It's designed to be fast, efficient, and highly customizable, with support for tabs, rich text, and theming. The terminal is built on top of a modernized Windows Console Host (`conhost.exe`) codebase, which has been overhauled to include key extensibility points and safer, more efficient containers.
To get started with
Some of the key features of Windows Terminal include:
* Support for tabs and rich text
* Globalization and configurability
* Theming and styling
* A new DirectWrite-based text layout and rendering engine
* A text buffer capable of storing both UTF-16 and UTF-8
The
Whether you're a developer, a power user, or just someone who wants a better command-line experience, Windows Terminal is definitely worth checking out. With its modern design, rich features, and high customizability, it's an excellent choice for anyone looking for a powerful and flexible terminal application.
One-liner takeaway: Windows Terminal is a game-changer for command-line users, offering a modern, feature-rich, and highly customizable terminal experience that's fast, efficient, and reliable.
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/microsoft/terminal
📝 The new Windows Terminal and the original Windows console host, all in the same place!
──────────────────────────────
The Windows Terminal is a modern, feature-rich terminal application for command-line users. It's designed to be fast, efficient, and highly customizable, with support for tabs, rich text, and theming. The terminal is built on top of a modernized Windows Console Host (`conhost.exe`) codebase, which has been overhauled to include key extensibility points and safer, more efficient containers.
To get started with
Windows Terminal, you can install it from the Microsoft Store, or manually download and install it from the GitHub repository. There are also unofficial install methods available via Chocolatey and Scoop.Some of the key features of Windows Terminal include:
* Support for tabs and rich text
* Globalization and configurability
* Theming and styling
* A new DirectWrite-based text layout and rendering engine
* A text buffer capable of storing both UTF-16 and UTF-8
The
Windows Terminal is designed to be highly customizable, with a wide range of settings and options available. It's also designed to be fast and efficient, with a focus on performance and reliability.Whether you're a developer, a power user, or just someone who wants a better command-line experience, Windows Terminal is definitely worth checking out. With its modern design, rich features, and high customizability, it's an excellent choice for anyone looking for a powerful and flexible terminal application.
One-liner takeaway: Windows Terminal is a game-changer for command-line users, offering a modern, feature-rich, and highly customizable terminal experience that's fast, efficient, and reliable.
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
❤1
Github Top Repositories
Photo
🎯 AstrBotDevs/AstrBot landed on trending. Worth a proper look.
🔗 https://github.com/AstrBotDevs/AstrBot
📝 AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨
──────────────────────────────
AstrBot is an open-source, all-in-one chatbot platform that integrates with popular instant messaging apps. It provides a reliable and scalable conversational AI infrastructure for individuals, developers, and teams. With AstrBot, you can quickly build production-ready AI applications within your IM platform workflows.
Key features include
To get started, you can choose from various deployment methods, including one-click deployment with
Whether you're building a personal AI companion or an enterprise knowledge base, AstrBot enables you to create custom AI solutions with ease. So why wait? Dive into the world of conversational AI with AstrBot and discover the endless possibilities it has to offer: AstrBot is the ultimate conversational AI platform to unlock your chatbot's full potential!
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/AstrBotDevs/AstrBot
📝 AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨
──────────────────────────────
AstrBot is an open-source, all-in-one chatbot platform that integrates with popular instant messaging apps. It provides a reliable and scalable conversational AI infrastructure for individuals, developers, and teams. With AstrBot, you can quickly build production-ready AI applications within your IM platform workflows.
Key features include
AI LLM Conversations, multimodal support, agent platforms, and multi-platform compatibility with QQ, Telegram, Slack, and more. AstrBot also offers plugin extensions with over 1000 plugins available for one-click installation.To get started, you can choose from various deployment methods, including one-click deployment with
uv, cloud deployment with RainYun, Docker deployment, or desktop application deployment. AstrBot supports multiple messaging platforms and model services, making it a versatile and powerful tool for building conversational AI applications.Whether you're building a personal AI companion or an enterprise knowledge base, AstrBot enables you to create custom AI solutions with ease. So why wait? Dive into the world of conversational AI with AstrBot and discover the endless possibilities it has to offer: AstrBot is the ultimate conversational AI platform to unlock your chatbot's full potential!
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
Github Top Repositories
Photo
⚡ 1jehuang/jcode is making waves. Here's the full picture.
🔗 https://github.com/1jehuang/jcode
📝 Coding Agent Harness
──────────────────────────────
jcode is a cutting-edge coding agent designed to elevate your coding experience. Its primary purpose is to provide a next-generation coding agent harness that supports multi-session workflows, offers infinite customizability, and ensures high performance.
To get started with jcode, you can install it using the following
or using
jcode boasts impressive technical highlights, including optimized RAM usage and fast boot-up times. Its performance is significantly better than other similar tools, making it an attractive choice for developers.
The target audience for jcode appears to be developers looking for a high-performance, customizable coding agent that can handle multi-session workflows.
In a nutshell, jcode is the ultimate coding sidekick that will revolutionize your coding experience - code smarter, not harder, with jcode!
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/1jehuang/jcode
📝 Coding Agent Harness
──────────────────────────────
jcode is a cutting-edge coding agent designed to elevate your coding experience. Its primary purpose is to provide a next-generation coding agent harness that supports multi-session workflows, offers infinite customizability, and ensures high performance.
To get started with jcode, you can install it using the following
bash command: curl -fsSL https://jcode.sh/install | bash
or using
powershell:irm https://jcode.sh/install.ps1 | iex
jcode boasts impressive technical highlights, including optimized RAM usage and fast boot-up times. Its performance is significantly better than other similar tools, making it an attractive choice for developers.
The target audience for jcode appears to be developers looking for a high-performance, customizable coding agent that can handle multi-session workflows.
In a nutshell, jcode is the ultimate coding sidekick that will revolutionize your coding experience - code smarter, not harder, with jcode!
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
Github Top Repositories
Photo
📌 Spotted on GitHub Trending: trycua/cua — let's break it down.
🔗 https://github.com/trycua/cua
📝 Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.
──────────────────────────────
Cua is an open-source tool that enables scalable computer-use 2.0 with cross-OS fleets, benchmarks, and data generation. It features background computer-use on macOS, Windows, and Linux, allowing agents to interact with native desktop apps without stealing the cursor or focus. The
Key features include:
- Cua Drivers: Background computer-use on macOS, Windows, and Linux
- Cua Sandbox: Agent-ready sandboxes for any OS, with a unified API for VMs or container images
- Cua Bench: Benchmarks and RL environments for evaluating and training computer-use models
- Lume: macOS virtualization on Apple Silicon with near-native performance
Technical highlights include support for:
Cua is designed for researchers, developers, and organizations working on AI, computer vision, and human-computer interaction. The project provides extensive documentation, a blog, and community support through Discord and GitHub Issues.
Get started with Cua today and unlock the full potential of computer-use 2.0!
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/trycua/cua
📝 Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.
──────────────────────────────
Cua is an open-source tool that enables scalable computer-use 2.0 with cross-OS fleets, benchmarks, and data generation. It features background computer-use on macOS, Windows, and Linux, allowing agents to interact with native desktop apps without stealing the cursor or focus. The
cua command-line interface and Multi-Computer Protocol (MCP) server provide a unified way to drive computers across different operating systems.Key features include:
- Cua Drivers: Background computer-use on macOS, Windows, and Linux
- Cua Sandbox: Agent-ready sandboxes for any OS, with a unified API for VMs or container images
- Cua Bench: Benchmarks and RL environments for evaluating and training computer-use models
- Lume: macOS virtualization on Apple Silicon with near-native performance
Technical highlights include support for:
from cua import Sandbox, Image
async with Sandbox.ephemeral(Image.linux()) as sb:
# Interact with the sandbox
result = await sb.shell.run("echo hello")
screenshot = await sb.screenshot()
Cua is designed for researchers, developers, and organizations working on AI, computer vision, and human-computer interaction. The project provides extensive documentation, a blog, and community support through Discord and GitHub Issues.
Get started with Cua today and unlock the full potential of computer-use 2.0!
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe