Today's AI Agent: Fastest-Growing Projects — July 13, 2026
Today's the AI Agent space, we're seeing a surge of projects that aim to enhance user interaction and productivity through innovative interfaces and automation capabilities. The category is particularly strong with repositories focusing on integrating AI into financial trading tools, web browsing experiences, and personal research assistants.
The top project this week is "tradingview-mcp" by jaipreet15, which exposes TradingView market data and multi-exchange scanners to AI assistants and automation tools. Its high growth score of 95.68 and 162 stars indicate that traders and developers are increasingly interested in leveraging AI for more sophisticated trading strategies.
Next is "kill-ai-slop" by yetone, a field guide and agent skill designed to detect and remove AI-generated visual and copy tics from projects. With a growth score of 90.17 and 301 stars, the project has gained significant traction among creators who are keen on maintaining authenticity in their work.
"browser-mcp" by UHolli bridges AI assistants directly to users' local browsers through a Chrome extension. This innovative approach allows for seamless integration between web browsing and AI-driven functionalities, contributing to its 87.81 growth score and 97 stars as it appeals to those looking for enhanced browser capabilities.
Simonlin1212's "Vibe-Research" offers a comprehensive trading research assistant that includes daily reviews, news radar, individual stock data, sector analysis, portfolio tracking, and research records. With an impressive 83.25 growth score and 756 stars, it stands out as one of the most utilized tools for AI-driven investment research.
"LazoVelko/neverclick" aims to eliminate the need for a mouse entirely by automating clicks through AI. Despite its intriguing concept, it hasn't seen significant star accumulation (91 stars) compared to its growth score of 70.30, suggesting potential in niche markets but not yet mainstream adoption.
Moore-developers' "moore-wechat-article-downloader" is designed for local storage and analysis of WeChat content through Codex/Claude Code, with a focus on research capabilities. With a growth score of 59.50 and 250 stars, it reflects growing interest in localized content management solutions powered by AI.
MakerChecker's security gateway and static scanner tool enforces role-based access control and human-in-the-loop approvals for AI agents. Although the project has not received any recent commits or star accumulation, its unique approach to securing AI-driven systems could be of interest to those concerned about data integrity and access control in AI environments.
"agent-chief" by SmileLikeYe aims to manage user attention efficiently through a local-first layer that decides whether an agent's alert should interrupt the user. Its 59.28 growth score and 530 stars highlight its relevance for users seeking more control over their digital interactions with AI agents.
Uzairansaruzi's "hermex" is a native iPhone app for Hermes agents, designed to provide a seamless mobile experience. With an impressive 741 stars and a growth score of 57.00, it demonstrates the growing demand for dedicated mobile applications that integrate with AI-driven personal assistants.
Lastly, "YSClaude" by winter-bit-cry is an Expo/React Native Android AI assistant client, aiming to provide a robust interface for interacting with Claude, an AI agent designed for various tasks. Its growth score of 56.90 and 29 stars indicate initial interest but suggest it may need further development to attract wider adoption.
These projects illustrate the diverse applications and growing importance of AI agents in enhancing user interaction, productivity, and security across different domains such as trading, content creation, web browsing, and personal research.
The top project this week is "tradingview-mcp" by jaipreet15, which exposes TradingView market data and multi-exchange scanners to AI assistants and automation tools. Its high growth score of 95.68 and 162 stars indicate that traders and developers are increasingly interested in leveraging AI for more sophisticated trading strategies.
Next is "kill-ai-slop" by yetone, a field guide and agent skill designed to detect and remove AI-generated visual and copy tics from projects. With a growth score of 90.17 and 301 stars, the project has gained significant traction among creators who are keen on maintaining authenticity in their work.
"browser-mcp" by UHolli bridges AI assistants directly to users' local browsers through a Chrome extension. This innovative approach allows for seamless integration between web browsing and AI-driven functionalities, contributing to its 87.81 growth score and 97 stars as it appeals to those looking for enhanced browser capabilities.
Simonlin1212's "Vibe-Research" offers a comprehensive trading research assistant that includes daily reviews, news radar, individual stock data, sector analysis, portfolio tracking, and research records. With an impressive 83.25 growth score and 756 stars, it stands out as one of the most utilized tools for AI-driven investment research.
"LazoVelko/neverclick" aims to eliminate the need for a mouse entirely by automating clicks through AI. Despite its intriguing concept, it hasn't seen significant star accumulation (91 stars) compared to its growth score of 70.30, suggesting potential in niche markets but not yet mainstream adoption.
Moore-developers' "moore-wechat-article-downloader" is designed for local storage and analysis of WeChat content through Codex/Claude Code, with a focus on research capabilities. With a growth score of 59.50 and 250 stars, it reflects growing interest in localized content management solutions powered by AI.
MakerChecker's security gateway and static scanner tool enforces role-based access control and human-in-the-loop approvals for AI agents. Although the project has not received any recent commits or star accumulation, its unique approach to securing AI-driven systems could be of interest to those concerned about data integrity and access control in AI environments.
"agent-chief" by SmileLikeYe aims to manage user attention efficiently through a local-first layer that decides whether an agent's alert should interrupt the user. Its 59.28 growth score and 530 stars highlight its relevance for users seeking more control over their digital interactions with AI agents.
Uzairansaruzi's "hermex" is a native iPhone app for Hermes agents, designed to provide a seamless mobile experience. With an impressive 741 stars and a growth score of 57.00, it demonstrates the growing demand for dedicated mobile applications that integrate with AI-driven personal assistants.
Lastly, "YSClaude" by winter-bit-cry is an Expo/React Native Android AI assistant client, aiming to provide a robust interface for interacting with Claude, an AI agent designed for various tasks. Its growth score of 56.90 and 29 stars indicate initial interest but suggest it may need further development to attract wider adoption.
These projects illustrate the diverse applications and growing importance of AI agents in enhancing user interaction, productivity, and security across different domains such as trading, content creation, web browsing, and personal research.