GitHub Hot — 23 July 2026

Top 10 repos trending on GitHub this week — what they do, why they matter, and how to use them in your projects.

1. lopopolo/harness-engineering

2,257 stars this week · Python

This repo provides a curated context bundle to improve AI agent output by 100x through harness engineering techniques.

Use case

Harness engineering solves the problem of inconsistent or low-quality AI agent output by providing a structured environment and context. For example, if Henry's AI-powered blog generates inconsistent or off-brand content, using this repo's context bundle can significantly improve the coherence and quality of the generated posts.

Why it's trending

It's trending because Ryan Lopopolo's recent talks and tweets have highlighted the significant improvements in agent output using these techniques, making it highly relevant for developers working with AI agents.

How to use it

1. Clone the repository: git clone https://github.com/lopopolo/harness-engineering.git,2. Explore the docs/domain-modeling directory to understand how to structure your context and tools.,3. Integrate the context bundle into your AI agent's environment by pointing it to the relevant files and directories.,4. Use the provided examples and constraints to shape your agent's output.,5. Iterate and refine based on feedback to make coherence cumulative over time.

How I could use this

1. Henry could use this repo to create a structured context for his blog's AI agent, ensuring that generated posts align with his personal brand and writing style.
2. For career tools, Henry could apply harness engineering to a resume matcher AI, providing it with a curated context of job descriptions and desired skills to improve matching accuracy.
3. In AI features, Henry could use the techniques from this repo to build an AI-powered cover letter generator that adapts to different job applications while maintaining a consistent and professional tone.

2. nethical6/conversation-steganography

1,065 stars this week · Go · llm-tools steganography

This repo uses LLMs to hide secret messages inside natural-looking chat conversations, enabling private communication over any messaging platform.

Use case

Solves the problem of secure communication in environments where encryption is flagged or monitored. For example, journalists or activists in restrictive regimes can use this to exchange sensitive information without raising suspicion, as the messages appear innocuous to external observers.

Why it's trending

Trending due to increasing concerns about government surveillance and the need for covert communication methods, especially in light of recent global events where privacy is at risk.

How to use it

Clone the repository: git clone https://github.com/nethical6/conversation-steganography.git,Install dependencies: go mod tidy,Run the application: go run main.go,Input your secret message, and the tool will generate a natural-looking conversation that hides your message.,Send the generated conversation through any messaging app.

How I could use this

1. Henry could integrate this into his blog to offer a 'private comments' feature, allowing readers to leave encrypted comments that only he can decode.
2. For career tools, Henry could use this to create a secure resume submission system where job applicants can send encrypted resumes that appear as normal text to third parties.
3. In AI features, Henry could build a 'secret diary' feature where users can write encrypted entries that look like regular blog posts, adding an extra layer of privacy.

3. MIgHTy-alIeN/MEV-Arbitrage-Bot

1,032 stars this week · Solidity · ai aitradingbot bot btc

This repo provides a Solidity smart contract and Python automation script for executing MEV arbitrage on Ethereum, helping traders capitalize on price differences between Uniswap pools.

Use case

The MEV Arbitrage Bot solves the problem of manually identifying and executing arbitrage opportunities in DeFi. For example, if there's a price discrepancy between two Uniswap pools for the same token pair, the bot can automatically execute a trade to profit from the difference, saving time and increasing efficiency.

Why it's trending

This repo is trending due to the increasing interest in MEV (Miner Extractable Value) and arbitrage opportunities in DeFi, especially with the recent market volatility and the rise of automated trading strategies.

How to use it

1. Open the EtherLab website in your browser.,2. Create a new .sol file and paste the smart contract code from the repo.,3. Deploy the contract using the EtherLab interface.,4. Connect the deployed contract to the Python automation script provided in the repo.,5. Configure the bot settings (e.g., allowed routers, tokens, fees) and start the automation script.

How I could use this

1. Henry could write a blog post detailing how to set up and run the MEV Arbitrage Bot, including a step-by-step guide and potential pitfalls to avoid.
2. Henry could create a career tool that simulates arbitrage trading scenarios, helping finance professionals practice and improve their trading skills.
3. Henry could integrate the bot's logic into an AI-powered trading assistant that suggests arbitrage opportunities and executes trades based on user preferences and risk tolerance.

4. nyblnet/bento

1,007 stars this week · TypeScript

Bento is a self-contained, single-file office suite that eliminates dependency on cloud services or installed software for presentations.

Use case

Bento solves the problem of presentation software lock-in and accessibility. For example, if you need to create, edit, and present slides on a restricted corporate machine without admin rights or internet access, Bento allows you to do so seamlessly with just a browser.

Why it's trending

It's trending because of the growing backlash against subscription-based software and the increasing need for offline, portable tools that respect user privacy and data ownership.

How to use it

1. Download the Bento_Slides.bento.html file from the GitHub Releases page or directly from bento.page.,2. Open the file in any modern browser to start using the editor.,3. Create or edit your slides directly in the browser.,4. Save your work by downloading the updated HTML file, which now contains your presentation data.,5. Share the single HTML file with others, who can open it in their browsers without needing any additional software.

How I could use this

1. Henry could use Bento to create a portable, interactive portfolio presentation that potential employers can view offline, ensuring his work is accessible regardless of their tech setup.
2. For career tools, Henry could design a resume and cover letter template in Bento, allowing job seekers to customize and present their documents in a visually appealing, self-contained format.
3. Henry could integrate Bento with AI features to generate dynamic, data-driven presentations. For example, an AI could pull data from Henry's blog analytics and automatically create a presentation summarizing his most popular posts and reader demographics.

5. Vincentwei1021/video-shotcraft

849 stars this week · TypeScript · agent-skills ai-agents ai-video claude-code

This repo enables AI agents to generate cinematic product videos with Remotion, solving the problem of creating high-quality video content without extensive motion design skills.

Use case

For a developer launching a new SaaS product, this tool can automatically generate a professional promo video. Instead of hiring a motion designer or spending weeks learning video editing, you can use this skill to create a cinematic video showcasing your product's features and benefits.

Why it's trending

It's trending because AI-generated video content is becoming increasingly popular, and this repo provides a practical, production-ready solution for developers to leverage AI in their marketing efforts.

How to use it

1. Install the skill by providing the repo link to your AI agent (e.g., Claude Code or Codex):,text,Install this skill for me: https://github.com/Vincentwei1021/video-shotcraft,,2. Clone the repository and navigate into the project directory:,bash,git clone https://github.com/Vincentwei1021/video-shotcraft.git,cd video-shotcraft,,3. Follow the instructions in the README to set up the project and start generating videos using the provided shot recipe cards and motion previews.

How I could use this

1. Henry could use this tool to create engaging video content for his blog posts, making them more visually appealing and increasing reader engagement.
2. For career tools, Henry could generate a cinematic video showcasing his portfolio projects, making his resume and cover letters stand out to potential employers.
3. In AI projects, Henry could integrate this skill to automatically generate video summaries of his AI model's predictions or visualizations, enhancing the presentation of his work.

6. Blaizzy/nativ

803 stars this week · Swift

Nativ is a macOS app that lets you run, manage, and interact with MLX models locally on Apple silicon, solving the problem of fragmented AI tooling for developers.

Use case

Nativ solves the problem of managing and interacting with multiple AI models locally on a Mac. For example, a developer working on a project that requires different AI models for text generation, image analysis, and code completion can use Nativ to manage these models in one place, switch between them easily, and monitor their performance without relying on cloud services.

Why it's trending

Nativ is trending because of the increasing interest in local AI model inference, especially with the rise of Apple silicon and its capabilities for machine learning tasks. The recent advancements in MLX models and the need for a unified tool to manage them have made Nativ particularly relevant.

How to use it

1. Clone the repository: git clone https://github.com/Blaizzy/nativ.git,2. Open the project in Xcode and build it.,3. Launch the app and let it discover compatible models in your Hugging Face cache.,4. Use the app to chat with models, monitor performance, or serve models via local APIs.,5. Integrate with your tools using the OpenAI-compatible endpoints provided by Nativ.

How I could use this

1. Henry could use Nativ to manage and serve different AI models for his blog, such as one for generating blog post ideas and another for optimizing SEO, all running locally on his Mac.
2. For career tools, Henry could use Nativ to run a local resume matcher model and a cover letter generator, ensuring his job application materials are tailored and optimized without relying on external services.
3. Henry could integrate Nativ with his AI projects to provide local, low-latency model inference, enhancing the performance and privacy of his applications.

7. Jakubantalik/thinking-orbs

802 stars this week · TypeScript

This repo provides visually distinct, AI-specific loading indicators that communicate agent state more clearly than generic spinners.

Use case

When building AI interfaces, generic loading spinners fail to communicate what the agent is actually doing (searching vs composing vs listening). This library solves that with six distinct animated states that visually represent different AI operations. For example, when Henry's blog AI is generating a response, he can show a 'composing' orb instead of a vague spinner.

Why it's trending

AI interfaces are proliferating, and developers are realizing that generic loading indicators create poor UX in conversational contexts. This repo is trending because it offers a simple, well-designed solution to a specific pain point in AI UI development.

How to use it

Install the package: npm install thinking-orbs,Import the component: import { ThinkingOrb } from 'thinking-orbs',Use it in your React component: <ThinkingOrb state="searching" size={64} />,Choose from six states: working, searching, solving, listening, composing, shaping,Set size to 20 for inline text or 64 for avatar-scale indicators

How I could use this

1. Use the 'composing' orb state when Henry's blog AI is generating post drafts, giving readers clear visual feedback that content is being created rather than just 'loading'
2. Implement the 'searching' orb in Henry's resume matcher tool when it's scanning job descriptions, making the waiting experience feel more intentional
3. Add the 'listening' orb to Henry's AI cover letter generator when it's processing voice input, creating a more natural conversational flow

8. pireel/pireel

646 stars this week · TypeScript · ai-video capcut captions chatcut

Pireel is a fully client-side AI video editor that enables in-browser video editing with no backend, ideal for privacy-focused or offline-first applications.

Use case

Solves the problem of needing a lightweight, no-server video editor for content creators who want to avoid cloud dependencies or privacy risks. For example, a developer creating tutorial videos could edit and export them entirely in the browser without uploading sensitive content to a third-party service.

Why it's trending

Trending due to the rise of AI-driven content creation and the growing demand for privacy-focused tools that don’t rely on cloud services.

How to use it

1. Clone the repo and install dependencies: git clone https://github.com/pireel/pireel && cd pireel && pnpm install,2. Run the dev server: pnpm dev,3. Open the printed URL in your browser, upload a video, and start editing with built-in themes and tools.,4. Export the final video directly from the browser using WebCodecs.

How I could use this

1. Henry could integrate Pireel into his blog to allow readers to edit and remix his tutorial videos directly in the browser, fostering engagement and interactivity.
2. For career tools, Henry could use Pireel to create a resume video editor where users upload a video resume and apply professional themes or captions without leaving the browser.
3. For AI features, Henry could connect Pireel to an AI agent (like Claude) to auto-generate video scripts, captions, or even edit videos based on voice commands, making his blog more dynamic and interactive.

9. powerycy/goutoujunshi

638 stars this week · Python · ai-agent chinese codex codex-skill

This repo provides an AI-powered relationship advisor that combines emotional support with actionable strategies, leveraging a multidisciplinary knowledge base.

Use case

It solves the problem of generic and often unhelpful relationship advice by offering nuanced, context-aware strategies. For example, instead of just saying 'communicate more,' it can analyze chat logs to suggest specific conversation topics and timing based on the partner's responses and emotional state.

Why it's trending

It's trending due to its unique approach of combining emotional intelligence with practical, executable advice, which resonates with users seeking more than just generic relationship tips.

How to use it

Clone the repository: git clone https://github.com/powerycy/goutoujunshi.git,Install the required dependencies: pip install -r requirements.txt,Run the main script: python main.py,Input your relationship scenario or chat logs for analysis,Follow the AI-generated advice and strategies

How I could use this

1. Henry could integrate this AI advisor into his blog to offer readers personalized relationship advice, making his blog more interactive and engaging.
2. For career tools, Henry could adapt the emotional analysis and strategy generation to help users prepare for interviews, offering tailored advice based on the user's emotional state and the job's requirements.
3. For AI features, Henry could use the multidisciplinary knowledge base to create an AI-powered mentor that offers advice on various topics, from relationships to career development, based on the user's specific situation and emotional context.

10. xiejunjie524/handdraw-story-video

633 stars this week · Python

This repo transforms hand-drawn illustrations into engaging short videos, solving the problem of creating visually appealing content from static images.

Use case

For bloggers or content creators who want to enhance their storytelling with visuals, this tool can turn a series of hand-drawn illustrations into a cohesive video. For example, a travel blogger can sketch key moments from their journey and convert them into a short video to accompany their blog post.

Why it's trending

With the rise of short-form video content on platforms like TikTok and Instagram Reels, tools that simplify video creation are increasingly valuable. This repo's unique approach to animating hand-drawn illustrations makes it stand out.

How to use it

Clone the repository and set up the environment:,git clone https://github.com/xiejunjie524/handdraw-story-video.git,cd handdraw-story-video,python -m venv .venv,source .venv/bin/activate,pip install -r requirements.txt,npm install gsap,Copy the template and fill in your story details:,cp templates/story-template.json story.json,Generate line art from your color images:,python scripts/make_lineart.py assets/images/scene-01-color.png assets/images/scene-01-line.png,Prepare the HyperFrames directory and GSAP:,mkdir -p hyperframes/assets/vendor,cp node_modules/gsap/dist/gsap.min.js hyperframes/assets/vendor/gsap.min.js,Generate the video:,python scripts/build_story.py story.json hyperframes/index.html --check-assets,npx hyperframes check hyperframes/index.html --json,npx hyperframes render hyperframes/index.html --output renders/story-v1.mp4 --workers 1

How I could use this

1. Henry could use this tool to create engaging video summaries of his blog posts. For instance, he could sketch key points from a technical article and turn them into a short video to share on social media, driving traffic back to his blog.
2. For career tools, Henry could create a unique visual resume. He could sketch his career journey and skills, then use this tool to turn them into a short video that stands out to potential employers.
3. In AI projects, Henry could integrate this tool to automatically generate video content from AI-generated illustrations. For example, he could use an AI model to create illustrations based on text input, then use this tool to turn them into a video story.