Github Top Repositories
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🎯 lyogavin/airllm landed on trending. Worth a proper look.
🔗 https://github.com/lyogavin/airllm
📝 AirLLM 70B inference with single 4GB GPU
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AirLLM is a game-changer for large language models, allowing massive models like 70B Llama 3.1 to run on a single 4GB GPU card without quantization, distillation, or pruning. This is achieved through sparse MoE models that stream one expert at a time.
Key Features:
- Support for various large language models, including Llama 3.x, DeepSeek V2/V3, and more
- Model compression for up to 3x inference speedup with minimal accuracy loss
- Easy usage with the
Technical Highlights:
-
-
- Supports
Audience:
- Developers and researchers working with large language models
- Those looking to deploy models on limited hardware
Takeaway: With AirLLM, you can run massive language models on minimal hardware, making AI more accessible and efficient.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/lyogavin/airllm
📝 AirLLM 70B inference with single 4GB GPU
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AirLLM is a game-changer for large language models, allowing massive models like 70B Llama 3.1 to run on a single 4GB GPU card without quantization, distillation, or pruning. This is achieved through sparse MoE models that stream one expert at a time.
Key Features:
- Support for various large language models, including Llama 3.x, DeepSeek V2/V3, and more
- Model compression for up to 3x inference speedup with minimal accuracy loss
- Easy usage with the
AutoModel.from_pretrained(...) methodTechnical Highlights:
-
pip install airllm for easy installation-
from airllm import AutoModel for initializing models- Supports
compression for 4-bit or 8-bit block-wise quantizationAudience:
- Developers and researchers working with large language models
- Those looking to deploy models on limited hardware
Takeaway: With AirLLM, you can run massive language models on minimal hardware, making AI more accessible and efficient.
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🧠 Channel: https://t.iss.one/GithubRe
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Github Top Repositories
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🌟 TencentCloud/TencentDB-Agent-Memory caught my eye on GitHub Trending today.
🔗 https://github.com/TencentCloud/TencentDB-Agent-Memory
📝 TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.
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The TencentDB Agent Memory is a powerful tool designed to enhance the memory capabilities of AI agents, allowing them to learn from workflows, retain task context, and reuse past experiences. This is achieved through a layered memory system, consisting of symbolic short-term memory and layered long-term memory.
The
When integrated with OpenClaw, it significantly cuts token usage and improves pass rates. The system also features
To get started, simply install the plugin using
This tool is perfect for developers and researchers looking to improve the performance of their AI agents.
In short, with TencentDB Agent Memory, agents remember, so humans can innovate!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/TencentCloud/TencentDB-Agent-Memory
📝 TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.
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The TencentDB Agent Memory is a powerful tool designed to enhance the memory capabilities of AI agents, allowing them to learn from workflows, retain task context, and reuse past experiences. This is achieved through a layered memory system, consisting of symbolic short-term memory and layered long-term memory.
The
symbolic short-term memory offloads heavy tool logs into compact Mermaid symbols, reducing token usage and improving task success. Meanwhile, the layered long-term memory distills fragmented conversations into structured personas and scenes.When integrated with OpenClaw, it significantly cuts token usage and improves pass rates. The system also features
memory layering and symbolic memory, ensuring agents can reason better, not just remember more.To get started, simply install the plugin using
openclaw plugins install @tencentdb-agent-memory/memory-tencentdb and enable it in your OpenClaw config. This tool is perfect for developers and researchers looking to improve the performance of their AI agents.
In short, with TencentDB Agent Memory, agents remember, so humans can innovate!
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🧠 Channel: https://t.iss.one/GithubRe
📌 Spotted on GitHub Trending: addyosmani/agent-skills — let's break it down.
🔗 https://github.com/addyosmani/agent-skills
📝 Production-grade engineering skills for AI coding agents.
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The addyosmani/agent-skills GitHub repository provides a comprehensive set of production-grade engineering skills for AI coding agents. These skills encode workflows, quality gates, and best practices used by senior engineers across various development phases.
The repository includes 8 slash commands that map to the development lifecycle, allowing for automatic activation of the right skills. Key features include
Technical highlights of the repository include the use of
The repository supports various agents, including Claude Code, Cursor, and Codex, and provides detailed setup instructions for each. The skills are designed to be used by anyone working with AI coding agents, from developers to project managers.
In summary, addyosmani/agent-skills is a powerful repository that helps streamline the development process by providing a set of pre-defined skills for AI coding agents. With these skills, you can automate your development workflow and focus on what matters most - building high-quality software.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/addyosmani/agent-skills
📝 Production-grade engineering skills for AI coding agents.
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The addyosmani/agent-skills GitHub repository provides a comprehensive set of production-grade engineering skills for AI coding agents. These skills encode workflows, quality gates, and best practices used by senior engineers across various development phases.
The repository includes 8 slash commands that map to the development lifecycle, allowing for automatic activation of the right skills. Key features include
/spec for defining what to build, /plan for planning how to build it, and /build for incremental implementation. Technical highlights of the repository include the use of
npx skills add addyosmani/agent-skillsfor fast installation and the ability to grab individual skills using
npx skills add addyosmani/agent-skills --skill code-review-and-quality.
The repository supports various agents, including Claude Code, Cursor, and Codex, and provides detailed setup instructions for each. The skills are designed to be used by anyone working with AI coding agents, from developers to project managers.
In summary, addyosmani/agent-skills is a powerful repository that helps streamline the development process by providing a set of pre-defined skills for AI coding agents. With these skills, you can automate your development workflow and focus on what matters most - building high-quality software.
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🧠 Channel: https://t.iss.one/GithubRe
📌 Spotted on GitHub Trending: cloudflare/computer — let's break it down.
🔗 https://github.com/cloudflare/computer
📝 Give your agent a computer 👾
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The Cloudflare Computer is a virtual filesystem that lives inside a Durable Object, providing a unique way to manage and execute code in a cloud environment. It has three main backends: Container, Isolate shell, and Isolate JavaScript, each offering a different way to execute code and interact with the filesystem.
The
To get started, you can install the
The Cloudflare Computer is suitable for experiments, exploration, and prototypes, but it's not yet ready for production use. The project is still in the preview phase, and the APIs are subject to change.
One-liner takeaway: Cloudflare Computer is a powerful virtual filesystem that enables flexible and scalable code execution in the cloud, and it's waiting for your feedback to shape its future.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/cloudflare/computer
📝 Give your agent a computer 👾
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The Cloudflare Computer is a virtual filesystem that lives inside a Durable Object, providing a unique way to manage and execute code in a cloud environment. It has three main backends: Container, Isolate shell, and Isolate JavaScript, each offering a different way to execute code and interact with the filesystem.
The
workspace.runtime.exec function is the main entry point for executing code, and it allows you to choose the backend and execute code in a flexible way. The Cloudflare Computer also provides a node:fs/promises interface, making it easy to work with the filesystem in a Node.js environment.To get started, you can install the
@cloudflare/computer package and follow the instructions in the README. There are also several examples in the examples/ directory that demonstrate how to use the Cloudflare Computer in different scenarios.The Cloudflare Computer is suitable for experiments, exploration, and prototypes, but it's not yet ready for production use. The project is still in the preview phase, and the APIs are subject to change.
One-liner takeaway: Cloudflare Computer is a powerful virtual filesystem that enables flexible and scalable code execution in the cloud, and it's waiting for your feedback to shape its future.
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🧠 Channel: https://t.iss.one/GithubRe
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🌟 mattpocock/skills caught my eye on GitHub Trending today.
🔗 https://github.com/mattpocock/skills
📝 Skills for Real Engineers. Straight from my .agents directory.
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The mattpocock/skills GitHub repository offers a collection of skills designed to enhance your experience with coding agents like Claude Code and Codex. The purpose of these skills is to help you work more efficiently and effectively with AI-powered tools, addressing common issues such as misalignment, verbosity, and code quality.
Key features include grilling sessions to ensure you and the agent are aligned, a shared language to reduce verbosity, and feedback loops to improve code quality. The skills are small, easy to adapt, and composable, allowing you to customize them to fit your needs.
To get started, you can install the skills using the
These skills are designed for real engineers who want to take control of their coding process and work more effectively with AI-powered tools. With these skills, you can ship better apps and improve your overall coding experience.
In short, mattpocock/skills helps you work smarter, not harder, with coding agents - try them out and see the difference for yourself!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/mattpocock/skills
📝 Skills for Real Engineers. Straight from my .agents directory.
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The mattpocock/skills GitHub repository offers a collection of skills designed to enhance your experience with coding agents like Claude Code and Codex. The purpose of these skills is to help you work more efficiently and effectively with AI-powered tools, addressing common issues such as misalignment, verbosity, and code quality.
Key features include grilling sessions to ensure you and the agent are aligned, a shared language to reduce verbosity, and feedback loops to improve code quality. The skills are small, easy to adapt, and composable, allowing you to customize them to fit your needs.
To get started, you can install the skills using the
claude plugins install mattpocock-skills command or by running npx skills@latest add mattpocock/skills. Once installed, you can use skills like /grill-me and /grill-with-docs to improve your workflow.These skills are designed for real engineers who want to take control of their coding process and work more effectively with AI-powered tools. With these skills, you can ship better apps and improve your overall coding experience.
In short, mattpocock/skills helps you work smarter, not harder, with coding agents - try them out and see the difference for yourself!
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🧠 Channel: https://t.iss.one/GithubRe
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⚡ goauthentik/authentik is making waves. Here's the full picture.
🔗 https://github.com/goauthentik/authentik
📝 The authentication glue you need.
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Authentik is an open-source Identity Provider (IdP) for modern Single Sign-On (SSO). It supports various protocols like
You can install authentik using Docker Compose, Kubernetes (Helm Chart), AWS CloudFormation, or DigitalOcean Marketplace.
The project has a strong focus on development and contributions, with extensive developer documentation and a contribution process in place.
Security is also a top priority, with guidelines outlined in the
Authentik is licensed under
Takeaway: Authentik is your one-stop-shop for a robust, open-source identity management system that's free, flexible, and feature-rich.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/goauthentik/authentik
📝 The authentication glue you need.
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Authentik is an open-source Identity Provider (IdP) for modern Single Sign-On (SSO). It supports various protocols like
SAML, OAuth2/OIDC, LDAP, and RADIUS, making it suitable for self-hosting in small labs to large production clusters. You can install authentik using Docker Compose, Kubernetes (Helm Chart), AWS CloudFormation, or DigitalOcean Marketplace.
The project has a strong focus on development and contributions, with extensive developer documentation and a contribution process in place.
Security is also a top priority, with guidelines outlined in the
SECURITY.md file. Authentik is licensed under
MIT License, CC BY-SA 4.0, and an Enterprise License for commercial use. Takeaway: Authentik is your one-stop-shop for a robust, open-source identity management system that's free, flexible, and feature-rich.
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🧠 Channel: https://t.iss.one/GithubRe