Github Top Repositories
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ðŊ lfnovo/open-notebook landed on trending. Worth a proper look.
ð https://github.com/lfnovo/open-notebook
ð An Open Source implementation of Notebook LM with more flexibility and features
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Unlock Your Research Potential with Open Notebook, a private, multi-model, and 100% local alternative to Google's Notebook LM. This open-source platform empowers you to control your data, choose from 18+ AI providers, and organize multi-modal content with ease.
Key features include professional podcast generation, intelligent search, and context-aware chat. With fine-grained context control and comprehensive REST API, you can customize and extend Open Notebook to fit your needs.
Whether you're a researcher, student, or professional, Open Notebook is the perfect tool for private and secure research. Get started in just 2 minutes with the quick start guide and discover a world of unlimited possibilities.
Take control of your research today and experience the power of Open Notebook - Your research, your way.
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ð§ Channel: https://t.me/GithubRe
ð https://github.com/lfnovo/open-notebook
ð An Open Source implementation of Notebook LM with more flexibility and features
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Unlock Your Research Potential with Open Notebook, a private, multi-model, and 100% local alternative to Google's Notebook LM. This open-source platform empowers you to control your data, choose from 18+ AI providers, and organize multi-modal content with ease.
Key features include professional podcast generation, intelligent search, and context-aware chat. With fine-grained context control and comprehensive REST API, you can customize and extend Open Notebook to fit your needs.
Whether you're a researcher, student, or professional, Open Notebook is the perfect tool for private and secure research. Get started in just 2 minutes with the quick start guide and discover a world of unlimited possibilities.
Take control of your research today and experience the power of Open Notebook - Your research, your way.
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ð§ Channel: https://t.me/GithubRe
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Github Top Repositories
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ðĨ affaan-m/ECC is trending â and it deserves your attention.
ð https://github.com/affaan-m/ECC
ð 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 on GitHub is a game-changer for agentic work, offering a harness-native operator system that streamlines workflows across multiple AI agent platforms. With
At its core, ECC is a complete system that includes skills, instincts, memory optimization, continuous learning, security scanning, and research-first development. It supports
To get started, users can follow the Shorthand Guide to ECC or the Longform Guide to ECC for a deeper dive. The project also offers a Security Guide to help users navigate potential risks.
ECC is designed to work seamlessly with various AI agent harnesses, including Codex, Claude Code, Cursor, OpenCode, and Gemini. The project's
The ECC community is active, with a discussion forum for Q&A and show-and-tell. Users can also sponsor the project or subscribe to ECC Pro for additional features.
In summary, ECC is a powerful tool for agentic work that offers a unique combination of features, flexibility, and community support. With its harness-native operator system and
ECC simplifies agentic workflows - and that's a superpower.
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ð§ Channel: https://t.me/GithubRe
ð https://github.com/affaan-m/ECC
ð 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 on GitHub is a game-changer for agentic work, offering a harness-native operator system that streamlines workflows across multiple AI agent platforms. With
182K+ stars and 28K+ forks, this project has gained significant traction. At its core, ECC is a complete system that includes skills, instincts, memory optimization, continuous learning, security scanning, and research-first development. It supports
12+ language ecosystems, including TypeScript, Python, Go, and Java, making it a versatile tool for developers.To get started, users can follow the Shorthand Guide to ECC or the Longform Guide to ECC for a deeper dive. The project also offers a Security Guide to help users navigate potential risks.
ECC is designed to work seamlessly with various AI agent harnesses, including Codex, Claude Code, Cursor, OpenCode, and Gemini. The project's
v2.0.0-rc.1 release introduces a public Hermes operator story, adding a new layer of functionality to the existing reusable layer.The ECC community is active, with a discussion forum for Q&A and show-and-tell. Users can also sponsor the project or subscribe to ECC Pro for additional features.
In summary, ECC is a powerful tool for agentic work that offers a unique combination of features, flexibility, and community support. With its harness-native operator system and
12+ language ecosystems, ECC is an essential resource for developers looking to streamline their workflows. ECC simplifies agentic workflows - and that's a superpower.
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ð§ Channel: https://t.me/GithubRe
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Github Top Repositories
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ðŊ Panniantong/Agent-Reach landed on trending. Worth a proper look.
ð https://github.com/Panniantong/Agent-Reach
ð Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu â one CLI, zero API fees.
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Agent Reach is an innovative solution that empowers your AI agents with internet capabilities. This project bridges the gap between AI agents and various online platforms, allowing them to search, read, and interact with web content seamlessly.
Key Features:
- Supports multiple platforms: YouTube, Twitter, Reddit, GitHub, and many more
- Enables AI agents to search, read, and interact with web content
- Provides a simple and unified interface for AI agents to access various online platforms
- Allows for customization and extension of supported platforms
Technical Highlights:
- Built using Python and various open-source libraries
- Utilizes a modular architecture, making it easy to add or remove supported platforms
- Prioritizes security, with features like local storage of credentials and a secure installation mode
The target audience for Agent Reach includes developers and users of AI agents, such as those using Claude Code, OpenClaw, or Cursor.
In summary, Agent Reach is a powerful tool that unlocks the full potential of AI agents by providing them with internet capabilities. With its simple installation process, customizable architecture, and focus on security, it's an excellent solution for anyone looking to enhance their AI agents' abilities.
The takeaway: Give your AI agent superpowers with Agent Reach!
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ð§ Channel: https://t.me/GithubRe
ð https://github.com/Panniantong/Agent-Reach
ð Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu â one CLI, zero API fees.
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Agent Reach is an innovative solution that empowers your AI agents with internet capabilities. This project bridges the gap between AI agents and various online platforms, allowing them to search, read, and interact with web content seamlessly.
Key Features:
- Supports multiple platforms: YouTube, Twitter, Reddit, GitHub, and many more
- Enables AI agents to search, read, and interact with web content
- Provides a simple and unified interface for AI agents to access various online platforms
- Allows for customization and extension of supported platforms
agent-reach install is the command that sets everything up. The installation process is straightforward, and the project is well-documented with a comprehensive README.Technical Highlights:
- Built using Python and various open-source libraries
- Utilizes a modular architecture, making it easy to add or remove supported platforms
- Prioritizes security, with features like local storage of credentials and a secure installation mode
The target audience for Agent Reach includes developers and users of AI agents, such as those using Claude Code, OpenClaw, or Cursor.
In summary, Agent Reach is a powerful tool that unlocks the full potential of AI agents by providing them with internet capabilities. With its simple installation process, customizable architecture, and focus on security, it's an excellent solution for anyone looking to enhance their AI agents' abilities.
The takeaway: Give your AI agent superpowers with Agent Reach!
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ð§ Channel: https://t.me/GithubRe
Github Top Repositories
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ðĄ NVIDIA/cosmos just hit the trending charts â here's why it matters.
ð https://github.com/NVIDIA/cosmos
ð NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
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NVIDIA Cosmos is an open platform for building Physical AI, providing a suite of omnimodal world models, datasets, and tools. The Cosmos 3 model family is designed to jointly process and generate language, images, video, audio, and action sequences within a unified Mixture-of-Transformers architecture.
Key features include
To get started, users can create a Hugging Face access token, authenticate locally, and set up a virtual environment using
The takeaway: NVIDIA Cosmos is a powerful tool for building Physical AI applications, offering a flexible and scalable platform for researchers and developers to create innovative solutions.
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ð§ Channel: https://t.me/GithubRe
ð https://github.com/NVIDIA/cosmos
ð NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
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NVIDIA Cosmos is an open platform for building Physical AI, providing a suite of omnimodal world models, datasets, and tools. The Cosmos 3 model family is designed to jointly process and generate language, images, video, audio, and action sequences within a unified Mixture-of-Transformers architecture.
Key features include
world understanding, world generation, and action modeling. The platform supports various input and output formats, such as text, images, videos, and JSON action arrays. To get started, users can create a Hugging Face access token, authenticate locally, and set up a virtual environment using
uvx and hf commands. The platform provides examples for both Generator and Reasoner modes, including text-to-image, text-to-video, and video-to-video generation, as well as captioning, temporal localization, and embodied reasoning.The takeaway: NVIDIA Cosmos is a powerful tool for building Physical AI applications, offering a flexible and scalable platform for researchers and developers to create innovative solutions.
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ð§ Channel: https://t.me/GithubRe
Github Top Repositories
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ð 666ghj/MiroFish caught my eye on GitHub Trending today.
ð https://github.com/666ghj/MiroFish
ð A Simple and Universal Swarm Intelligence Engine, Predicting Anything. įŪæīéįĻįįūĪä―æšč―åžæïžéĒæĩäļįĐ
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MiroFish is a next-generation AI prediction engine that utilizes multi-agent technology to create a high-fidelity parallel digital world. This world is constructed by extracting seed information from the real world, such as news or financial signals, and then thousands of intelligent agents interact and evolve within it. The engine allows users to inject variables and deduce future trajectories through countless simulations.
Key features include a simple and universal swarm intelligence engine, the ability to predict anything, and a creative sandbox for users. The engine is powered by
To get started, users can deploy the engine via source code or Docker, with options for frontend and backend installation. The engine can be used for various applications, including financial prediction, political news prediction, and more.
The target audience for MiroFish includes decision-makers, individual users, and anyone interested in multi-agent simulation and LLM applications.
With MiroFish, you can rehearse the future in a digital sandbox and make informed decisions after simulating countless scenarios - making it possible to predict anything, one simulation at a time.
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ð§ Channel: https://t.me/GithubRe
ð https://github.com/666ghj/MiroFish
ð A Simple and Universal Swarm Intelligence Engine, Predicting Anything. įŪæīéįĻįįūĪä―æšč―åžæïžéĒæĩäļįĐ
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MiroFish is a next-generation AI prediction engine that utilizes multi-agent technology to create a high-fidelity parallel digital world. This world is constructed by extracting seed information from the real world, such as news or financial signals, and then thousands of intelligent agents interact and evolve within it. The engine allows users to inject variables and deduce future trajectories through countless simulations.
Key features include a simple and universal swarm intelligence engine, the ability to predict anything, and a creative sandbox for users. The engine is powered by
OASIS (Open Agent Social Interaction Simulations) and has received strategic support from Shanda Group.To get started, users can deploy the engine via source code or Docker, with options for frontend and backend installation. The engine can be used for various applications, including financial prediction, political news prediction, and more.
The target audience for MiroFish includes decision-makers, individual users, and anyone interested in multi-agent simulation and LLM applications.
With MiroFish, you can rehearse the future in a digital sandbox and make informed decisions after simulating countless scenarios - making it possible to predict anything, one simulation at a time.
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ð§ Channel: https://t.me/GithubRe