Top 10 repos trending on GitHub this week — what they do, why they matter, and how to use them in your projects.
1. elder-plinius/T3MP3ST
2,539 stars this week · TypeScript · agents ai multi-agent offensive-security
T3MP3ST is a multi-agent offensive-security framework that turns AI coding agents into zero-day hunters for authorized penetration testing.
Use case
T3MP3ST solves the problem of automating penetration testing workflows by leveraging existing AI coding agents to perform recon, exploit, and report generation. For example, a security researcher can use their existing Claude Code agent to autonomously scan and exploit vulnerabilities in a staging environment without needing additional tools or API keys.
Why it's trending
It's trending due to the increasing interest in AI-driven security tools and the recent focus on autonomous agents for offensive security tasks. The ability to use existing AI agents without additional costs or keys makes it highly relevant.
How to use it
- Install T3MP3ST via npm:
npm install -g t3mp3st,2. Configure your AI agent (e.g., Claude Code, Ollama) in the T3MP3ST settings.,3. Run the initial scan:t3mp3st scan --target <authorized-target>,4. Review the generated report and exploit suggestions in the War Room interface.,5. Execute the recommended exploits:t3mp3st exploit --target <authorized-target> --exploit <exploit-id>
How I could use this
- Henry could integrate T3MP3ST into his blog to offer automated security scanning for readers' projects, providing a unique value-add for tech-savvy visitors.
- For career tools, Henry could use T3MP3ST to create a 'Security Skills' section in his resume matcher, highlighting penetration testing capabilities and real-world exploit examples.
- In AI features, Henry could develop a 'Security Copilot' for his blog that uses T3MP3ST to autonomously scan and suggest security improvements for user-submitted code snippets.
2. mekos2772/ios-location-spoofer
1,426 stars this week · JavaScript
This repo enables GPS location spoofing on iOS without jailbreaking, using proxy software to intercept and modify Apple's location data responses.
Use case
Developers testing location-based apps can simulate different geolocations without physical travel. For example, a developer building a location-aware fitness app can test how it behaves in different cities without leaving their desk.
Why it's trending
With the rise of location-based services and privacy concerns, tools that allow developers to test and debug location features without compromising their privacy are becoming increasingly relevant.
How to use it
Install a compatible proxy software like Shadowrocket or Surge.,Enable HTTPS decryption/MITM in the proxy software.,Import the appropriate module file (e.g., ios-location-spoofer.sgmodule for Shadowrocket).,Configure the desired latitude and longitude in the module settings.,Restart the VPN and toggle location services to see the spoofed location.
How I could use this
- Henry could write a blog post detailing how to use this tool for testing location-based features in Next.js apps, providing a step-by-step guide and code snippets for integrating location services.
- For career tools, Henry could create a portfolio project that demonstrates how to use location spoofing to test and debug location-aware resume matching services, showcasing his ability to handle complex debugging scenarios.
- Henry could integrate this tool into an AI-powered travel blog feature, where users can simulate being in different locations to get personalized travel recommendations based on spoofed GPS data.
3. HUANGCHIHHUNGLeo/claude-real-video
1,221 stars this week · Python
This repo lets LLMs analyze videos by extracting key frames and transcripts locally, solving the problem of AI tools missing visual context in video content.
Use case
When building an AI-powered blog, you might want to analyze video content (e.g., tutorials, interviews) without relying on cloud services or fixed frame sampling. For example, if Henry wants to summarize a technical talk from a conference video, this tool extracts only the unique frames and transcript, reducing token usage and ensuring the AI sees every important scene change.
Why it's trending
It's trending because it addresses a gap in current AI tools—most don't process video frames locally or efficiently. The recent focus on multimodal AI and local processing (for privacy and cost) makes this timely.
How to use it
- Install the package:
pip install claude-real-video,2. Run it on a video URL or local file:crv "https://www.youtube.com/watch?v=...",3. Use the output frames and transcript in your LLM prompt:crv-out/frames/*.jpgandcrv-out/transcript.txt,4. For advanced use, add--gridto generate contact sheets of key frames.
How I could use this
- Henry could use this to create AI-generated video summaries for his blog, extracting key moments from technical talks or tutorials and embedding them as interactive elements.
- For career tools, he could build a 'video resume analyzer' that processes recorded interviews or presentations, extracting key visual and spoken cues to match against job descriptions.
- For AI features, he could integrate this into a 'video Q&A' tool where users upload a video, and the AI answers questions based on both the transcript and visual context (e.g., 'What was the speaker pointing at during the demo?').
4. ammaarreshi/Generals-Mac-iOS-iPad
1,113 stars this week · C++ · apple-silicon command-and-conquer dxvk game-port
This repo ports Command & Conquer Generals: Zero Hour to run natively on macOS, iOS, and iPadOS, enabling RTS gaming on Apple devices without emulation.
Use case
This project solves the problem of running classic Windows games on modern Apple devices. For example, a developer who enjoys retro gaming can now play Command & Conquer Generals: Zero Hour on their iPad during commutes, without needing a Windows PC or emulation software.
Why it's trending
It's trending because it leverages modern technologies like DXVK and MoltenVK to bring a beloved classic game to Apple's ecosystem, which is particularly relevant with the rise of Apple Silicon and the growing power of iPads.
How to use it
- Clone the repository:
git clone https://github.com/ammaarreshi/Generals-Mac-iOS-iPad.git,2. Install dependencies: Ensure you have Xcode and the necessary development tools installed.,3. Obtain the game assets: Purchase Command & Conquer Generals: Zero Hour from Steam.,4. Build the project: Open the project in Xcode and build it for your target device.,5. Copy the game assets: Place the game assets in the appropriate directory as specified in the README.
How I could use this
- Henry could write a blog post detailing the technical challenges and solutions involved in porting a classic Windows game to modern Apple devices, highlighting the use of DXVK and MoltenVK.
- Henry could create a career tool that showcases his ability to work with legacy codebases and modern technologies, demonstrating his versatility and problem-solving skills to potential employers.
- Henry could integrate AI features into his blog, such as a game strategy advisor that uses machine learning to analyze gameplay and provide tips, leveraging the open-source nature of the game engine.
5. jamesob/local-llm
1,049 stars this week · Shell
This repo provides a practical guide to running state-of-the-art LLMs locally, solving the problem of high cloud API costs and privacy concerns.
Use case
For developers who need to run LLMs locally due to data privacy requirements or cost constraints, this repo offers a detailed guide on hardware selection, configuration, and ready-to-run Docker setups. For example, a developer working on a sensitive project can use this to set up a local LLM without relying on third-party APIs.
Why it's trending
With increasing concerns about data privacy and the high costs of cloud-based LLM APIs, this repo is trending as it provides a cost-effective and private alternative.
How to use it
- Review the hardware recommendations in the README and select a setup that fits your budget.,2. Clone the repo and navigate to the
runners/directory to find ready-to-run Docker configurations.,3. Use the provideddocker-compose.ymlfiles to deploy models like GLM-5.2-594B locally.,4. For speech-to-text, use the configurations in therunners/sttdirectory withwhisper-large-v3.,5. Utilize the tools in thetools/directory to measure GPU performance and optimize settings.
How I could use this
- Henry could write a blog post detailing his experience setting up a local LLM using this guide, including cost comparisons and performance benchmarks.
- Henry could create a career tool that uses a local LLM to generate personalized cover letters, ensuring data privacy and reducing API costs.
- Henry could integrate a local LLM into his blog for real-time content suggestions or automated drafting, enhancing the user experience without relying on external services.
6. xuchonglang/investing-for-beginners
737 stars this week · various · chinese cryptocurrency investing options
A Chinese-language investing guide for beginners covering US stocks, options, and cryptocurrency.
Use case
This repo solves the problem of Chinese investors lacking accessible, structured educational resources to understand US stock markets, options trading, and cryptocurrency. For example, a beginner investor in China can use this guide to learn about financial statements, valuation methods, and risk management without needing a finance background.
Why it's trending
It's trending due to the increasing interest in US stocks and cryptocurrency among Chinese investors, coupled with the lack of comprehensive, beginner-friendly resources in Chinese.
How to use it
- Visit the official website or Wiki to access the guide.,2. Start with the basics: trading hours, order types, financial statements, and basic valuation.,3. Gradually move to more advanced topics like options pricing, position management, and cryptocurrency trading.,4. Use the guide to understand the risks and mechanics of different investment types.,5. Apply the knowledge to make informed investment decisions.
How I could use this
- Henry could create a series of blog posts or tutorials in English, inspired by this guide, to help non-Chinese speakers understand US stock markets, options, and cryptocurrency.
- Henry could develop a career tool that matches investment skills and knowledge (gained from this guide) with relevant job opportunities in the finance and tech industries.
- Henry could build an AI feature that uses natural language processing to explain complex investment terms and concepts in simple language, similar to how this guide breaks down financial jargon.
7. jmerelnyc/Talos
722 stars this week · Python · ai distributed-computing gpu llm
Talos lets you monetize idle GPU capacity by serving LLM inference jobs over a WebSocket, earning revenue while contributing to a distributed AI network.
Use case
If you have a high-end GPU sitting idle, Talos turns it into a revenue stream by serving inference jobs for open models like Llama3.1. For example, a developer with an RTX 4090 could earn passive income by running Talos in the background while they work, without sacrificing performance for their own tasks.
Why it's trending
With the rise of open-source LLMs and the cost of GPU compute, Talos is trending because it offers a way to offset hardware costs by sharing resources in a decentralized network. The recent release of Llama3.1 and the growing interest in distributed AI make this timely.
How to use it
Install Ollama and pull a model: ollama pull llama3.1:8b,Install Talos: pip install -e .,Pair your device with a code from your Talos dashboard: talos-worker pair --code TALOS-XXXX-XXXX,Run the worker with an allocation (e.g., 50%): talos-worker run --allocation 0.5,Monitor status and earnings via the local dashboard at http://127.0.0.1:8674
How I could use this
- Henry could write a blog post about monetizing GPU resources with Talos, comparing earnings across different models and hardware setups.
- Henry could integrate Talos into a career tool that helps developers estimate the ROI of GPU purchases by simulating earnings from Talos and other distributed compute networks.
- Henry could use Talos to power an AI feature in his blog, such as a real-time LLM chatbot that runs inference jobs on his own GPU via Talos, reducing costs while maintaining performance.
8. synthetic-sciences/openscience
712 stars this week · TypeScript · agent ai ai-agent bun
OpenScience automates the scientific research workflow, from literature review to experiment execution, using AI agents.
Use case
OpenScience solves the problem of manually conducting scientific research by automating the entire process. For example, a researcher studying molecular biology can use OpenScience to review relevant papers, generate hypotheses, write and run code for experiments, and compile results, significantly speeding up the research cycle.
Why it's trending
OpenScience is trending due to the increasing demand for AI-driven research tools that can handle complex scientific workflows. Its recent updates and broad applicability across various scientific domains make it particularly relevant.
How to use it
Install the package using npm: npm install @synsci/openscience,Set up your API keys for the desired AI models (e.g., OpenAI, Anthropic).,Initialize OpenScience in your project and define a research goal.,Run the research agent to start the automated workflow: openscience research --goal 'Investigate the effects of X on Y',Monitor the progress and review the generated results and reports.
How I could use this
- Henry could integrate OpenScience into his blog to create a series of posts detailing how AI can automate scientific research, using real-world examples and code snippets.
- For career tools, Henry could develop a resume matcher that uses OpenScience's literature review capabilities to match job descriptions with relevant research papers and skills.
- For AI features, Henry could build a feature that allows users to input a scientific question and receive a comprehensive research report generated by OpenScience, complete with literature review and experimental results.
9. uzairansaruzi/hermex
653 stars this week · Swift · hermes hermes-agent hermex ios
Hermex is a native iOS app that lets you control a self-hosted Hermes AI agent from your iPhone, ensuring privacy and local control.
Use case
Hermex solves the problem of accessing and controlling a self-hosted AI agent on the go. For example, if you have a Hermes agent running on your home server for tasks like data analysis or automation, Hermex allows you to interact with it from your iPhone without exposing your data to third-party services.
Why it's trending
Hermex is trending because of the growing interest in self-hosted AI solutions and the recent release of iOS 18, which brings new capabilities for native app development.
How to use it
- Set up a Hermes agent on your local server using the hermes-webui repository.,2. Download Hermex from the App Store on your iPhone.,3. Configure Hermex to connect to your self-hosted Hermes agent by entering your server's IP address and port.,4. Use the Hermex app to interact with your Hermes agent, managing tasks, skills, memory, and insights directly from your iPhone.
How I could use this
- Henry could write a blog post about setting up a self-hosted AI agent with Hermes and controlling it via Hermex, highlighting the privacy benefits and step-by-step setup.
- Henry could create a career tool that uses a self-hosted Hermes agent to analyze job postings and match them with a user's resume, with Hermex providing mobile access to this tool.
- Henry could integrate a Hermes agent into his blog to provide personalized content recommendations to readers, with Hermex allowing him to manage the agent's behavior and insights from his iPhone.
10. Kulaxyz/token-diet
596 stars this week · Shell
This repo optimizes token usage for AI coding assistants, reducing costs by ~31% without sacrificing correctness.
Use case
For developers using AI coding assistants like Claude Code or Codex, this tool trims unnecessary tokens from replies, docs, tests, and code, significantly lowering API costs. For example, if you're using Claude Code extensively for a project, this tool can reduce your bill by ~31% by making the AI's responses more concise and efficient.
Why it's trending
With the increasing use of AI coding assistants and the associated costs, tools that can reduce expenses without compromising quality are highly relevant. This repo's practical approach to cost-saving is gaining attention.
How to use it
Install the tool using the one-liner: curl -fsSL https://raw.githubusercontent.com/Kulaxyz/token-diet/main/install.sh | bash,Choose an option like --ultra for telegraphic chat: curl -fsSL https://raw.githubusercontent.com/Kulaxyz/token-diet/main/install.sh | bash -s -- --ultra,Use the tool with your preferred AI coding assistant (e.g., Claude Code, Codex) and observe the reduced token usage and costs.,Toggle the tool on demand with /token-diet [on|lite|ultra|off] if needed.
How I could use this
- Integrate token-diet into your blog's AI-powered code assistant to reduce operational costs while maintaining high-quality responses for readers.
- Use token-diet in your resume matcher tool to optimize the AI's token usage when analyzing and matching resumes to job descriptions, reducing costs for users.
- Implement token-diet in your AI-powered cover letter generator to make the AI's responses more concise and cost-effective, allowing users to generate more cover letters within their budget.