Github Top Repositories
Photo
๐ Spotted on GitHub Trending: esengine/DeepSeek-Reasonix โ let's break it down.
๐ https://github.com/esengine/DeepSeek-Reasonix
๐ DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability โ leave it running.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Reasonix is an AI coding agent that runs in your terminal, engineered around prefix-cache stability to keep token costs low. It's designed to work with DeepSeek and provides a range of features, including cache stability, filesystem tools, and shell tools. To get started, you can install Reasonix globally using
The project has a bilingual Discord community with channels for setup help, workflow showcases, feature ideas, and contributor-only PR coordination.
Reasonix has a simple and intuitive usage, with a range of subcommands, including
Some of the key technical highlights of Reasonix include its prefix-cache stability, which ensures that token costs stay low across long sessions, and its cacheable bytes, which provide a cost-effective way to interact with the AI model.
Reasonix is suitable for a range of audiences, including developers, researchers, and anyone interested in AI-powered coding tools.
One-liner takeaway: Reasonix is the ultimate AI-powered coding companion that helps you code smarter, not harder, with its innovative prefix-cache stability and extensive feature set.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://t.iss.one/GithubRe
๐ https://github.com/esengine/DeepSeek-Reasonix
๐ DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability โ leave it running.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Reasonix is an AI coding agent that runs in your terminal, engineered around prefix-cache stability to keep token costs low. It's designed to work with DeepSeek and provides a range of features, including cache stability, filesystem tools, and shell tools. To get started, you can install Reasonix globally using
npm install -g reasonix or run it once without installing globally using npx reasonix code. The project has a bilingual Discord community with channels for setup help, workflow showcases, feature ideas, and contributor-only PR coordination.
Reasonix has a simple and intuitive usage, with a range of subcommands, including
reasonix code, reasonix chat, and reasonix run. The reasonix code subcommand launches the coding agent, while the reasonix chat subcommand launches a plain chat mode. Some of the key technical highlights of Reasonix include its prefix-cache stability, which ensures that token costs stay low across long sessions, and its cacheable bytes, which provide a cost-effective way to interact with the AI model.
Reasonix is suitable for a range of audiences, including developers, researchers, and anyone interested in AI-powered coding tools.
One-liner takeaway: Reasonix is the ultimate AI-powered coding companion that helps you code smarter, not harder, with its innovative prefix-cache stability and extensive feature set.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://t.iss.one/GithubRe
โค1
Github Top Repositories
Photo
๐ Spotted on GitHub Trending: lyogavin/airllm โ let's break it down.
๐ https://github.com/lyogavin/airllm
๐ AirLLM 70B inference with single 4GB GPU
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
AirLLM is a cutting-edge solution that enables large language models to run on limited GPU resources without sacrificing performance. Its key features include inference memory reduction, allowing 70B models to run on a single 4GB GPU card, and support for various models, such as Llama 3.1, DeepSeek-V3, and Kimi K3.
To use AirLLM, simply install the package with
AirLLM is geared towards data scientists and researchers working with large language models, providing an efficient and scalable solution for inference and deployment. With its extensive support for popular models and continuous updates, AirLLM is an essential tool for anyone looking to push the boundaries of language modeling.
One-liner takeaway: AirLLM revolutionizes large language model deployment by drastically reducing memory requirements, making it possible to run massive models like Kimi K3 on a single 4GB GPU card!
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://t.iss.one/GithubRe
๐ https://github.com/lyogavin/airllm
๐ AirLLM 70B inference with single 4GB GPU
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
AirLLM is a cutting-edge solution that enables large language models to run on limited GPU resources without sacrificing performance. Its key features include inference memory reduction, allowing 70B models to run on a single 4GB GPU card, and support for various models, such as Llama 3.1, DeepSeek-V3, and Kimi K3.
To use AirLLM, simply install the package with
pip install airllm and initialize the model with AutoModel.from_pretrained("model_id"). The library also supports model compression for up to 3x inference speedup and prefetching to overlap model loading and computation.AirLLM is geared towards data scientists and researchers working with large language models, providing an efficient and scalable solution for inference and deployment. With its extensive support for popular models and continuous updates, AirLLM is an essential tool for anyone looking to push the boundaries of language modeling.
One-liner takeaway: AirLLM revolutionizes large language model deployment by drastically reducing memory requirements, making it possible to run massive models like Kimi K3 on a single 4GB GPU card!
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://t.iss.one/GithubRe
Github Top Repositories
Photo
๐ก zhaoxuya520/reverse-skill just hit the trending charts โ here's why it matters.
๐ https://github.com/zhaoxuya520/reverse-skill
๐ Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base Supports Claude Code, Kiro, Cursor, Cline, and other AI coding clients ้ๅ/ๆธ้/ๅฎๅ จๆ่ฝ่ทฏ็ฑๅ - AI ่ชๅจ่ทฏ็ฑ + ๆ้่ชไธพๅทฅๅ ท้พ + ่ชๅจ่ฟๅ็ป้ชๅบ | ๆฏๆ Claude Code / Kiro / Cursor / Cline ็ญไปฃ็ AI ๅฎขๆท็ซฏ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
The reverse-skill GitHub repository is a comprehensive cybersecurity skills router designed to navigate complex security tasks with ease. Its primary purpose is to route AI agents, such as Claude Code or Codex CLI, to the right methodology and tools for a given task, ensuring a repeatable workflow.
Key features of reverse-skill include:
*
*
*
To get started with reverse-skill, you'll need to:
* Clone the repository using
* Refresh the tool index using the provided scripts for your platform (Windows, Linux, or macOS)
The repository is built with a range of technologies, including Python, Node.js, PowerShell, and Bash, and integrates various tools like IDA Pro, radare2, and Ghidra.
Audience: The reverse-skill repository is designed for cybersecurity professionals, AI agents, and anyone interested in navigating complex security tasks with ease.
In summary, the reverse-skill repository is a powerful tool for cybersecurity professionals, providing a comprehensive framework for navigating complex security tasks with ease. With its PRIMARY fast ladder, task-to-skill routing matrix, and extensive skills directory, reverse-skill is an indispensable resource for anyone looking to streamline their cybersecurity workflows: Automate your cybersecurity tasks with reverse-skill and take your skills to the next level!
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://t.iss.one/GithubRe
๐ https://github.com/zhaoxuya520/reverse-skill
๐ Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base Supports Claude Code, Kiro, Cursor, Cline, and other AI coding clients ้ๅ/ๆธ้/ๅฎๅ จๆ่ฝ่ทฏ็ฑๅ - AI ่ชๅจ่ทฏ็ฑ + ๆ้่ชไธพๅทฅๅ ท้พ + ่ชๅจ่ฟๅ็ป้ชๅบ | ๆฏๆ Claude Code / Kiro / Cursor / Cline ็ญไปฃ็ AI ๅฎขๆท็ซฏ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
The reverse-skill GitHub repository is a comprehensive cybersecurity skills router designed to navigate complex security tasks with ease. Its primary purpose is to route AI agents, such as Claude Code or Codex CLI, to the right methodology and tools for a given task, ensuring a repeatable workflow.
Key features of reverse-skill include:
*
MASTER-ROUTING.md: A PRIMARY fast ladder for routing tasks to the right skills*
routing.md: A task-to-skill routing matrix for various scenarios*
skills/: A directory containing various skills, including APK reverse, binary reverse, and moreTo get started with reverse-skill, you'll need to:
* Clone the repository using
git clone https://github.com/zhaoxuya520/reverse-skill.git* Refresh the tool index using the provided scripts for your platform (Windows, Linux, or macOS)
The repository is built with a range of technologies, including Python, Node.js, PowerShell, and Bash, and integrates various tools like IDA Pro, radare2, and Ghidra.
Audience: The reverse-skill repository is designed for cybersecurity professionals, AI agents, and anyone interested in navigating complex security tasks with ease.
In summary, the reverse-skill repository is a powerful tool for cybersecurity professionals, providing a comprehensive framework for navigating complex security tasks with ease. With its PRIMARY fast ladder, task-to-skill routing matrix, and extensive skills directory, reverse-skill is an indispensable resource for anyone looking to streamline their cybersecurity workflows: Automate your cybersecurity tasks with reverse-skill and take your skills to the next level!
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://t.iss.one/GithubRe
โค1
๐ firecrawl/pdf-inspector caught my eye on GitHub Trending today.
๐ https://github.com/firecrawl/pdf-inspector
๐ Fast Rust library for PDF inspection, classification, and text extraction. Intelligently detects scanned vs text-based PDFs to enable smart routing decisions.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
The pdf-inspector library is a fast and lightweight Rust-based solution for PDF classification and text extraction. Its key features include smart classification, text extraction, and Markdown conversion, all of which can be performed without the need for OCR services.
This library can be used in various programming languages, including
The library is designed to handle various types of PDFs, including those with mixed content, tables, and images. It also supports CID font decoding and multi-column layout detection, making it a robust solution for PDF processing needs.
Overall, pdf-inspector is a powerful tool for anyone looking to work with PDFs, and its ease of use, speed, and accuracy make it an ideal choice for a wide range of applications.
One-liner takeaway: pdf-inspector is the ultimate PDF processing library that saves you time and resources by skipping expensive OCR services for text-based PDFs.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://t.iss.one/GithubRe
๐ https://github.com/firecrawl/pdf-inspector
๐ Fast Rust library for PDF inspection, classification, and text extraction. Intelligently detects scanned vs text-based PDFs to enable smart routing decisions.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
The pdf-inspector library is a fast and lightweight Rust-based solution for PDF classification and text extraction. Its key features include smart classification, text extraction, and Markdown conversion, all of which can be performed without the need for OCR services.
This library can be used in various programming languages, including
Python, Node.js, and Rust, and can also be run in browser WebAssembly environments. The pdf-inspector has been benchmarked against other popular libraries, and its results show that it outperforms them in terms of speed and accuracy.The library is designed to handle various types of PDFs, including those with mixed content, tables, and images. It also supports CID font decoding and multi-column layout detection, making it a robust solution for PDF processing needs.
Overall, pdf-inspector is a powerful tool for anyone looking to work with PDFs, and its ease of use, speed, and accuracy make it an ideal choice for a wide range of applications.
One-liner takeaway: pdf-inspector is the ultimate PDF processing library that saves you time and resources by skipping expensive OCR services for text-based PDFs.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://t.iss.one/GithubRe
Github Top Repositories
Photo
๐ Spotted on GitHub Trending: esengine/DeepSeek-Reasonix โ let's break it down.
๐ https://github.com/esengine/DeepSeek-Reasonix
๐ DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability โ leave it running.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Reasonix is a DeepSeek-native AI coding agent designed for terminal use, engineered around prefix-cache stability for low token costs. This
Key features include cache stability, DeepSeek API integration, and filesystem tools. To use Reasonix, simply install it globally with
Technical highlights include a cache-first loop and byte-stable prefix-cache mechanic. The target audience is developers and users who want a thinking partner with MCP attached but no disk access.
With a strong focus on community involvement, Reasonix has a bilingual Discord for setup help, workflow showcases, feature ideas, and contributor-only PR coordination.
In short, Reasonix is your AI-powered coding sidekick for the terminal, designed to keep token costs low and productivity high.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://t.iss.one/GithubRe
๐ https://github.com/esengine/DeepSeek-Reasonix
๐ DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability โ leave it running.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Reasonix is a DeepSeek-native AI coding agent designed for terminal use, engineered around prefix-cache stability for low token costs. This
legacy TypeScript line is in maintenance mode, with active development moved to the Go rewrite in the main-v2 branch. Key features include cache stability, DeepSeek API integration, and filesystem tools. To use Reasonix, simply install it globally with
npm install -g reasonix and run reasonix code my-project to get started. Technical highlights include a cache-first loop and byte-stable prefix-cache mechanic. The target audience is developers and users who want a thinking partner with MCP attached but no disk access.
With a strong focus on community involvement, Reasonix has a bilingual Discord for setup help, workflow showcases, feature ideas, and contributor-only PR coordination.
In short, Reasonix is your AI-powered coding sidekick for the terminal, designed to keep token costs low and productivity high.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://t.iss.one/GithubRe
โค1
Github Top Repositories
Photo
๐ Spotted on GitHub Trending: TencentCloud/TencentDB-Agent-Memory โ let's break it down.
๐ https://github.com/TencentCloud/TencentDB-Agent-Memory
๐ TencentDB Agent Memory is a team-level memory hub for AI Agents โ 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.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
The TencentDB Agent Memory is a powerful tool designed to enhance the capabilities of AI agents by providing them with a robust memory system. This system allows agents to learn from workflows, retain task context, and reuse past experiences, thereby sparing humans from having to repeat themselves.
The key features of this tool include symbolic short-term memory and layered long-term memory. The
When integrated with OpenClaw, it can cut token usage by up to 61.38% and improve the pass rate by 51.52%. The tool is designed to work with various platforms, including OpenClaw and Hermes, and provides a
The target audience for this tool includes developers and researchers working with AI agents, particularly those interested in improving the memory and learning capabilities of these agents.
In summary, the TencentDB Agent Memory is a game-changer for AI agents, enabling them to remember what should be remembered, so people can focus on judgment, creation, and work that truly matters.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://t.iss.one/GithubRe
๐ https://github.com/TencentCloud/TencentDB-Agent-Memory
๐ TencentDB Agent Memory is a team-level memory hub for AI Agents โ 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.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
The TencentDB Agent Memory is a powerful tool designed to enhance the capabilities of AI agents by providing them with a robust memory system. This system allows agents to learn from workflows, retain task context, and reuse past experiences, thereby sparing humans from having to repeat themselves.
The key features of this tool include symbolic short-term memory and layered long-term memory. The
symbolic short-term memory offloads heavy tool logs and condenses them into compact Mermaid symbols, while the layered long-term memory distills fragmented conversations into structured personas and scenes. When integrated with OpenClaw, it can cut token usage by up to 61.38% and improve the pass rate by 51.52%. The tool is designed to work with various platforms, including OpenClaw and Hermes, and provides a
zero-config setup for easy installation. The target audience for this tool includes developers and researchers working with AI agents, particularly those interested in improving the memory and learning capabilities of these agents.
In summary, the TencentDB Agent Memory is a game-changer for AI agents, enabling them to remember what should be remembered, so people can focus on judgment, creation, and work that truly matters.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://t.iss.one/GithubRe