Github Top Repositories
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💡 stablyai/orca just hit the trending charts — here's why it matters.
🔗 https://github.com/stablyai/orca
📝 Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and VPS.
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Meet Orca, the AI orchestrator designed for 100x builders. It allows you to run multiple agents like Codex, ClaudeCode, and OpenCode in parallel worktrees, all tracked in one place. Key features include a mobile companion app, parallel worktrees, terminal splits, design mode, and native GitHub and Linear integration. You can use Orca with
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/stablyai/orca
📝 Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and VPS.
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Meet Orca, the AI orchestrator designed for 100x builders. It allows you to run multiple agents like Codex, ClaudeCode, and OpenCode in parallel worktrees, all tracked in one place. Key features include a mobile companion app, parallel worktrees, terminal splits, design mode, and native GitHub and Linear integration. You can use Orca with
any CLI agent, and it supports a wide range of agents, including Claude Code, Codex, and OpenCode. With Orca, you can streamline your workflow, increase productivity, and focus on building. Orca is perfect for developers, builders, and anyone looking to unlock their full potential. In short, Orca is the ultimate tool for builders who want to build faster and smarter - it's like having a superpower in your workflow.──────────────────────────────
🧠 Channel: https://t.me/GithubRe
Github Top Repositories
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🚀 Meet paperclipai/paperclip: a gem from today's GitHub trending list.
🔗 https://github.com/paperclipai/paperclip
📝 The open-source app everyone uses to manage agents at work
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Paperclip is an open-source platform that helps you manage AI agents for work. It's like a task manager, but under the hood, it's a powerful tool that lets you define goals, assign tasks, and track progress. You can bring your own agents, assign them roles, and track their work and costs from one dashboard.
Key features include a Node.js server, React UI, and support for multiple agents like OpenClaw, Codex, and Claude. It also has features like
The platform is built around four pillars: Agentic Task Manager, Org Chart for Agents, Agent Employee Training, and Agentic OS.
those who want to build autonomous AI companies, coordinate multiple agents, and manage their work from one place. It's also great for those who want to monitor costs, enforce budgets, and have a process for managing agents that feels like using a task manager.
In short, Paperclip is the ultimate tool for managing AI agents for work, and with it, you can manage business goals, not pull requests.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/paperclipai/paperclip
📝 The open-source app everyone uses to manage agents at work
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Paperclip is an open-source platform that helps you manage AI agents for work. It's like a task manager, but under the hood, it's a powerful tool that lets you define goals, assign tasks, and track progress. You can bring your own agents, assign them roles, and track their work and costs from one dashboard.
Key features include a Node.js server, React UI, and support for multiple agents like OpenClaw, Codex, and Claude. It also has features like
goal alignment, cost control, and governance. The platform is built around four pillars: Agentic Task Manager, Org Chart for Agents, Agent Employee Training, and Agentic OS.
those who want to build autonomous AI companies, coordinate multiple agents, and manage their work from one place. It's also great for those who want to monitor costs, enforce budgets, and have a process for managing agents that feels like using a task manager.
Paperclip is special because it handles the hard orchestration details correctly, with features like atomic execution, persistent agent state, and governance with rollback.In short, Paperclip is the ultimate tool for managing AI agents for work, and with it, you can manage business goals, not pull requests.
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🧠 Channel: https://t.me/GithubRe
Github Top Repositories
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🔥 huggingface/transformers is trending — and it deserves your attention.
🔗 https://github.com/huggingface/transformers
📝 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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The huggingface/transformers GitHub repository provides a comprehensive library for state-of-the-art machine learning models, supporting text, computer vision, audio, video, and multimodal tasks. At its core, Transformers serves as a model-definition framework, allowing for seamless compatibility across various training frameworks, inference engines, and modeling libraries.
The library offers over 1 million
Key features of the library include:
* Easy-to-use state-of-the-art models with high performance and low barrier to entry
* Lower compute costs and smaller carbon footprint through shared trained models and reduced compute time
* Flexibility to choose the right framework for training, evaluation, and production
* Customizable models and examples for specific use cases
The library is suitable for researchers, engineers, and developers, providing a unified API for using pre-trained models and a few user-facing abstractions to learn.
To get started, users can install the library using
In summary, the huggingface/transformers library is a powerful tool for machine learning tasks, offering a wide range of pre-trained models, a simple API, and flexibility to choose the right framework. Whether you're a researcher, engineer, or developer, this library can help you achieve state-of-the-art results with ease. Transform your machine learning workflow with huggingface/transformers - the ultimate library for state-of-the-art models!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/huggingface/transformers
📝 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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The huggingface/transformers GitHub repository provides a comprehensive library for state-of-the-art machine learning models, supporting text, computer vision, audio, video, and multimodal tasks. At its core, Transformers serves as a model-definition framework, allowing for seamless compatibility across various training frameworks, inference engines, and modeling libraries.
The library offers over 1 million
model checkpoints on the Hugging Face Hub, making it easy to find and use pre-trained models for specific tasks. With a simple and customizable API, users can quickly get started with tasks like text generation, chat, automatic speech recognition, image classification, and visual question answering.Key features of the library include:
* Easy-to-use state-of-the-art models with high performance and low barrier to entry
* Lower compute costs and smaller carbon footprint through shared trained models and reduced compute time
* Flexibility to choose the right framework for training, evaluation, and production
* Customizable models and examples for specific use cases
The library is suitable for researchers, engineers, and developers, providing a unified API for using pre-trained models and a few user-facing abstractions to learn.
To get started, users can install the library using
pip or uv and explore the Hugging Face Hub for pre-trained models. The library also provides a Pipeline API for high-level inference and a range of examples for different tasks and modalities.In summary, the huggingface/transformers library is a powerful tool for machine learning tasks, offering a wide range of pre-trained models, a simple API, and flexibility to choose the right framework. Whether you're a researcher, engineer, or developer, this library can help you achieve state-of-the-art results with ease. Transform your machine learning workflow with huggingface/transformers - the ultimate library for state-of-the-art models!
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🧠 Channel: https://t.me/GithubRe
🔍 Deep-diving into harveyai/harvey-labs — fresh off the trending list.
🔗 https://github.com/harveyai/harvey-labs
📝 A benchmark built to evaluate and improve agent capabilities for supporting legal work.
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The Harvey LAB is an open-source benchmark for evaluating agents on real legal work. It consists of a dataset of tasks and an execution harness for running and evaluating agents. The key features of Harvey LAB include
The project is designed for researchers and developers interested in evaluating the performance of large language models (LLMs) in legal work. The
The takeaway: Harvey LAB is revolutionizing the way we evaluate AI agents in legal work, and you can be a part of it!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/harveyai/harvey-labs
📝 A benchmark built to evaluate and improve agent capabilities for supporting legal work.
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The Harvey LAB is an open-source benchmark for evaluating agents on real legal work. It consists of a dataset of tasks and an execution harness for running and evaluating agents. The key features of Harvey LAB include
1671 tasks across 24+ legal practice areas, with a test suite to validate the task schema. To get started, users can follow the full walkthrough in the tutorial.md guide. The project is designed for researchers and developers interested in evaluating the performance of large language models (LLMs) in legal work. The
architecture, evaluation methodology, and contributing guidelines are well-documented, making it easy for users to understand and contribute to the project. The takeaway: Harvey LAB is revolutionizing the way we evaluate AI agents in legal work, and you can be a part of it!
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🧠 Channel: https://t.me/GithubRe
📌 Spotted on GitHub Trending: jaywcjlove/awesome-mac — let's break it down.
🔗 https://github.com/jaywcjlove/awesome-mac
📝 This project is dedicated to collecting high-quality macOS software and organizing them systematically by different categories for easy search and use.
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The jaywcjlove/awesome-mac GitHub repository is a curated list of high-quality macOS software, organized by category for easy search and use. With a wide range of applications, from
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/jaywcjlove/awesome-mac
📝 This project is dedicated to collecting high-quality macOS software and organizing them systematically by different categories for easy search and use.
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The jaywcjlove/awesome-mac GitHub repository is a curated list of high-quality macOS software, organized by category for easy search and use. With a wide range of applications, from
text editors and office tools to developer utilities and design software, this repository has become a comprehensive resource for macOS users. The project welcomes contributions and suggestions, with a contributing guidelines in place to ensure the list remains refined and up-to-date. Whether you're a developer, designer, or simply a macOS user, this repository has something for everyone. Star and fork the project to support it, and discover new macOS software to enhance your workflow. The takeaway: awesome-mac is your one-stop-shop for all things macOS, making it easy to find the perfect tools to boost your productivity!──────────────────────────────
🧠 Channel: https://t.me/GithubRe
Github Top Repositories
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⚡ calesthio/OpenMontage is making waves. Here's the full picture.
🔗 https://github.com/calesthio/OpenMontage
📝 World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your AI coding assistant into a full video production studio.
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Introducing OpenMontage, the first open-source, agentic video production system. This innovative platform allows you to create stunning videos by simply describing what you want in plain language. Your AI coding assistant handles everything from research and scripting to asset generation, editing, and final composition.
Key features include the ability to start from a reference video, analyze its transcript, pacing, scenes, and style, and generate a grounded production plan. You can also use the
Technical highlights include support for various AI coding assistants, such as Claude Code, Cursor, and Copilot, as well as integration with providers like Bloome and Atlas Cloud. The system also includes a self-review process with multi-point validation and auditable decision logs.
Usage is straightforward: simply clone the repository, install the prerequisites, and run the setup script. Then, open the project in your AI coding assistant and describe your desired video.
Audience includes anyone interested in video production, from hobbyists to professionals. With OpenMontage, you can create high-quality videos without requiring extensive video editing experience.
In summary, OpenMontage is a game-changer for video production, and with its open-source nature, it's an exciting project to watch and contribute to: Turn your AI coding assistant into a full video production studio and create stunning videos with ease!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/calesthio/OpenMontage
📝 World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your AI coding assistant into a full video production studio.
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Introducing OpenMontage, the first open-source, agentic video production system. This innovative platform allows you to create stunning videos by simply describing what you want in plain language. Your AI coding assistant handles everything from research and scripting to asset generation, editing, and final composition.
Key features include the ability to start from a reference video, analyze its transcript, pacing, scenes, and style, and generate a grounded production plan. You can also use the
Backlot living storyboard to visualize your production's progress and approve assets before rendering.Technical highlights include support for various AI coding assistants, such as Claude Code, Cursor, and Copilot, as well as integration with providers like Bloome and Atlas Cloud. The system also includes a self-review process with multi-point validation and auditable decision logs.
Usage is straightforward: simply clone the repository, install the prerequisites, and run the setup script. Then, open the project in your AI coding assistant and describe your desired video.
Audience includes anyone interested in video production, from hobbyists to professionals. With OpenMontage, you can create high-quality videos without requiring extensive video editing experience.
In summary, OpenMontage is a game-changer for video production, and with its open-source nature, it's an exciting project to watch and contribute to: Turn your AI coding assistant into a full video production studio and create stunning videos with ease!
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🧠 Channel: https://t.me/GithubRe
💡 practical-tutorials/project-based-learning just hit the trending charts — here's why it matters.
🔗 https://github.com/practical-tutorials/project-based-learning
📝 Curated list of project-based tutorials
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The practical-tutorials/project-based-learning GitHub repository is a treasure trove of hands-on learning experiences for aspiring software developers. The repo contains a vast collection of tutorials, each focusing on building a specific application from scratch, using various programming languages such as C#, C/C++, Clojure, Dart, and many more.
These tutorials cover a wide range of topics, including
Whether you're interested in building a Twitter bot with Clojure, a 2D Breakout game clone in C++ with OpenGL, or a Simple RPG Game in C#, this repository has something for everyone. The tutorials are designed to help developers of all levels gain practical experience and improve their coding skills.
So, what are you waiting for? Dive into the world of project-based learning and take your coding skills to the next level - build something from scratch today!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/practical-tutorials/project-based-learning
📝 Curated list of project-based tutorials
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The practical-tutorials/project-based-learning GitHub repository is a treasure trove of hands-on learning experiences for aspiring software developers. The repo contains a vast collection of tutorials, each focusing on building a specific application from scratch, using various programming languages such as C#, C/C++, Clojure, Dart, and many more.
These tutorials cover a wide range of topics, including
network programming, OpenGL, and game development. To get started, simply fork the repository and refer to the CONTRIBUTING.md file for guidelines.Whether you're interested in building a Twitter bot with Clojure, a 2D Breakout game clone in C++ with OpenGL, or a Simple RPG Game in C#, this repository has something for everyone. The tutorials are designed to help developers of all levels gain practical experience and improve their coding skills.
So, what are you waiting for? Dive into the world of project-based learning and take your coding skills to the next level - build something from scratch today!
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🧠 Channel: https://t.me/GithubRe
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🚀 Meet PrimeIntellect-ai/prime-agent: a gem from today's GitHub trending list.
🔗 https://github.com/PrimeIntellect-ai/prime-agent
📝 A self-improving RLM agent for coding workflows and long-running autonomous tasks.
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Meet Prime Agent, an open-source coding and research agent designed for general and long-running work. It's built around two core abstractions: the Recursive Language Model (RLM) and the Continual Harness. The RLM treats context as variables and tools like recursive subagents as function calls, while the Continual Harness stores supplemental prompts, memories, and reusable subagent specifications as durable state.
Key features include
Prime Agent is ideal for researchers, developers, and power users who need a robust tool for long-running work. With its autonomous mode, heartbeats and schedules, and persistent goals, you can focus on your work without interruptions.
In a nutshell, Prime Agent is your ultimate sidekick for tackling complex tasks - it's like having a super-smart, self-improving assistant that's got your back!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/PrimeIntellect-ai/prime-agent
📝 A self-improving RLM agent for coding workflows and long-running autonomous tasks.
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Meet Prime Agent, an open-source coding and research agent designed for general and long-running work. It's built around two core abstractions: the Recursive Language Model (RLM) and the Continual Harness. The RLM treats context as variables and tools like recursive subagents as function calls, while the Continual Harness stores supplemental prompts, memories, and reusable subagent specifications as durable state.
Key features include
persistent Python control environment, daemon-backed agents, and direct agent-to-agent communication. To get started, install the latest stable release using curl -fsSL https://app.primeintellect.ai/prime-agent/install.sh | shand run
prime-agentin your project directory.
Prime Agent is ideal for researchers, developers, and power users who need a robust tool for long-running work. With its autonomous mode, heartbeats and schedules, and persistent goals, you can focus on your work without interruptions.
In a nutshell, Prime Agent is your ultimate sidekick for tackling complex tasks - it's like having a super-smart, self-improving assistant that's got your back!
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🧠 Channel: https://t.me/GithubRe
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