TrendingAgent

GitHub Trending Signal Intelligence

AI-powered daily intelligence for discovering breakout open-source projects, decoding developer momentum, and mapping emerging technology trends.

LatestObserved2026-06-25

Leaderboard

Top 13 repositories

Ranked by GitHub Trending today so you can quickly scan heat, language, and new stars.

13 repos
#1calesthio/OpenMontageWorld's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.+3,719#2ZhuLinsen/daily_stock_analysisLLM 驱动的多市场股票智能分析系统:多源行情、实时新闻、决策看板与自动推送,支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.+1,468#3apple/containerA Swift tool for creating and running Linux containers as lightweight VMs on Mac, optimized for Apple silicon.+1,838#4interviewstreet/hiring-agentAI agent to evaluate and score resumes.+203#5JCodesMore/ai-website-cloner-templateClone any website with one command using AI coding agents+692#6revfactory/harnessA meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.+277#7flutter/flutterGoogle's open-source UI toolkit for building cross-platform applications from a single codebase.+73#8andreknieriem/headunit-revivedAn Android app to turn a tablet or phone into an Android Auto receiver.+41#9stablyai/orcaAn ADE (Agent Development Environment) for orchestrating parallel AI coding agents across desktop and mobile.+331#10google-labs-code/design.mdA format specification for describing visual design systems to coding agents using structured tokens and rationale.+619#11Flowseal/zapret-discord-youtubeA collection of batch scripts for Windows to bypass network restrictions and access Discord and YouTube.+61#12kunchenguid/no-mistakesgit push no-mistakes+110#13NousResearch/hermes-agentA self-improving AI agent framework with multi-platform support and autonomous learning.+1,178

Languages

Language distribution

Ranking

New Stars Today Top 10

Ranking

Total Stars Top 10

Daily Brief

Today's brief

Today's GitHub Trending highlights two core trends: First, the deep integration and automation of AI agents across vertical domains, from video production and stock analysis to hiring evaluation. Second, the evolution of developer toolchains, particularly in areas like agent orchestration, design specifications, and containerization that support the underlying infrastructure for AI agents. Additionally, traditional hot domains such as cross-platform development frameworks and network access tools remain active. Overall, the capability boundaries of AI agents are expanding rapidly, with related infrastructure and tool ecosystems becoming a key focus for developers.

Repositories

Trending repositories

#1

World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.

19,561

Stars

2,219

Forks

+3,719

Today

README summary

The README was fetched, but the LLM summary is currently unavailable. Open the repository for details.

Why it matters

It gained 3719 stars today and ranks #1. World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.

Python

#2

LLM 驱动的多市场股票智能分析系统:多源行情、实时新闻、决策看板与自动推送,支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.

48,581

Stars

42,991

Forks

+1,468

Today

README summary

The README was fetched, but the LLM summary is currently unavailable. Open the repository for details.

Why it matters

It gained 1468 stars today and ranks #2. LLM 驱动的多市场股票智能分析系统:多源行情、实时新闻、决策看板与自动推送,支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.

Python

#3

A Swift tool for creating and running Linux containers as lightweight VMs on Mac, optimized for Apple silicon.

42,282

Stars

1,244

Forks

+1,838

Today

README summary

This is a tool for creating and running Linux containers as lightweight virtual machines on a Mac. Written in Swift and optimized for Apple silicon, it consumes and produces OCI-compatible container images, allowing users to pull, run, and push images to standard container registries. It's ideal for developers seeking a native containerization experience on macOS, especially those using Apple Silicon.

Why it matters

Maintained by Apple and designed specifically for Apple Silicon Macs, this provides an official or semi-official solution for running Linux containers on macOS with good OCI compatibility.

Swift

#4

AI agent to evaluate and score resumes.

2,221

Stars

601

Forks

+203

Today

README summary

The README was fetched, but the LLM summary is currently unavailable. Open the repository for details.

Why it matters

It gained 203 stars today and ranks #4. AI agent to evaluate and score resumes.

Python

#5

Clone any website with one command using AI coding agents

19,363

Stars

2,891

Forks

+692

Today

README summary

The README was fetched, but the LLM summary is currently unavailable. Open the repository for details.

Why it matters

It gained 692 stars today and ranks #5. Clone any website with one command using AI coding agents

TypeScript

#6

A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.

7,758

Stars

1,056

Forks

+277

Today

README summary

The README was fetched, but the LLM summary is currently unavailable. Open the repository for details.

Why it matters

It gained 277 stars today and ranks #6. A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.

HTML

#7

Google's open-source UI toolkit for building cross-platform applications from a single codebase.

177,351

Stars

30,545

Forks

+73

Today

README summary

Flutter is a Google SDK for crafting beautiful, fast user experiences for mobile, web, and desktop from a single codebase. It uses the Dart language and leverages hardware-accelerated graphics libraries for high performance, along with stateful hot reload for productive development. The project is suitable for developers and organizations looking to build cross-platform applications with high-fidelity UI and an efficient development workflow.

Why it matters

This project is a benchmark in cross-platform development, with a large community and a mature ecosystem. Its active star growth today indicates continued developer interest.

Dart

#8

An Android app to turn a tablet or phone into an Android Auto receiver.

1,429

Stars

112

Forks

+41

Today

README summary

Headunit Revived is an Android app that allows your tablet or phone to function as an Android Auto display. It is a revival of the original headunit project and provides guides for connecting your phone via wired USB or wireless methods, including a recommended companion app. The README also details known issues with workarounds and planned features like more UI customization.

Why it matters

For developers or tech enthusiasts with a spare Android device looking to use it as a car Android Auto display, this project provides a ready and actively updated solution.

Kotlin

#9

An ADE (Agent Development Environment) for orchestrating parallel AI coding agents across desktop and mobile.

6,830

Stars

493

Forks

+331

Today

README summary

Orca is an orchestrator for developers that enables running multiple coding agents (like Claude Code, Codex) side-by-side in isolated Git worktrees to compare and merge results. Key features include a mobile companion app, cross-platform terminal splits, a built-in browser design mode, and native GitHub/Linear integration. It targets developers and tech teams looking to experiment with multiple AI coding assistants or manage complex agent workflows.

Why it matters

The project addresses a pain point in AI-assisted development—running and managing multiple agents in parallel—with an integrated and practical solution, gaining significant attention on GitHub.

TypeScript

#10

A format specification for describing visual design systems to coding agents using structured tokens and rationale.

17,389

Stars

1,569

Forks

+619

Today

README summary

This project defines a file specification called DESIGN.md to describe visual design systems to coding agents (like AI assistants). It combines machine-readable YAML design tokens (such as colors, typography, spacing) with human-readable Markdown rationale, enabling agents to understand and apply designs accurately. The project provides a CLI tool to validate the file format, compare design versions, and export tokens. It targets developers and design teams who want coding agents to generate UIs that adhere to specific design systems.

Why it matters

This specification addresses the pain point of effectively communicating design system information to AI coding agents, ensuring design consistency and accuracy through a structured approach. As an experimental project from Google Labs, it represents an emerging direction in AI-assisted development toolchains.

TypeScript

#11

A collection of batch scripts for Windows to bypass network restrictions and access Discord and YouTube.

30,029

Stars

2,342

Forks

+61

Today

README summary

This project provides batch scripts designed to help users on Windows bypass DPI (Deep Packet Inspection) and other network blockades to access services like Discord and YouTube normally. It is built upon the third-party open-source tool zapret, offering automated scripts for various preset strategies (e.g., ALT, FAKE), along with utilities for service management, hosts file updates, and diagnostics. It is intended for general users and technical enthusiasts facing specific network censorship who seek a convenient solution.

Why it matters

The project has gained attention by addressing common network access issues in specific regions, providing ready-to-use scripts that lower the barrier to entry.

Batchfile

#12

git push no-mistakes

2,175

Stars

145

Forks

+110

Today

README summary

The README was fetched, but the LLM summary is currently unavailable. Open the repository for details.

Why it matters

It gained 110 stars today and ranks #12. git push no-mistakes

Go

#13

A self-improving AI agent framework with multi-platform support and autonomous learning.

202,108

Stars

36,125

Forks

+1,178

Today

README summary

Hermes Agent is a self-improving AI agent built by Nous Research. Its core is a closed learning loop where the agent creates skills from experience, improves them during use, and builds a deepening user model. It supports numerous model backends (e.g., OpenRouter, OpenAI) and can run in various environments (local, Docker, servers), interacting via platforms like Telegram and Discord.

Why it matters

The key differentiator is its self-evolving and knowledge-persisting capability, setting it apart from most static AI tools. Support for a wide range of models and deployment options lowers the barrier to entry. Its learning loop and multi-platform nature offer valuable insights for developers building personalized, long-running intelligent assistants.

Python