Apr 17, 2026 GitHub Trending Board

Success: 15 | Failed: 0Duration: 170s

EvoMap/evolver

⭐ 4,216

🍴 417

📈 +750

JavaScript

The GEP-Powered Self-Evolution Engine for AI Agents. Genome Evolution Protocol. | evomap.ai

💡 AI Summary:

A Node.js engine that evolves AI agents using genetic algorithms and audit trails.

🔧 Tech stack:JavaScript, Node.js, Git

💼 Use case:Automates the evolution of AI agents by analyzing logs and applying genetic prompts.

lsdefine/GenericAgent

⭐ 3,594

🍴 386

📈 +848

Python

Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption

💡 AI Summary:

Minimal Python framework for self-evolving autonomous agents that gain system control via skill crystallization.

🔧 Tech stack:Python, LLM, 浏览器自动化

💼 Use case:Automate complex local computer tasks by allowing an LLM to autonomously learn and reuse execution paths.

SimoneAvogadro/android-reverse-engineering-skill

⭐ 2,730

🍴 283

📈 +558

Shell

Claude Code skill to support Android app's reverse engineering

💡 AI Summary:

A Claude Code skill for decompiling Android apps and extracting HTTP APIs.

🔧 Tech stack:Shell, Java, JADX, Fernflower, Vineflower

💼 Use case:To reverse engineer Android applications and extract Retrofit/OkHttp endpoints.

BasedHardware/omi

⭐ 9,808

🍴 1,672

📈 +821

Dart

AI that sees your screen, listens to your conversations and tells you what to do

💡 AI Summary:

An open-source AI 'second brain' that captures screen and audio to generate summaries and actionable insights.

🔧 Tech stack:Dart, Swift, Rust, Python, Node.js

💼 Use case:Professionals use this to automate note-taking and task management by recording their digital workspace and conversation

Lordog/dive-into-llms

⭐ 31,506

🍴 3,838

📈 +949

Jupyter Notebook

《动手学大模型Dive into LLMs》系列编程实践教程

💡 AI Summary:

A comprehensive programming practice tutorial series for Large Language Models covering fine-tuning, agents, and security, developed by Shanghai Jiao Tong University.

🔧 Tech stack:Jupyter Notebook, Python

💼 Use case:Students and developers can use this to learn LLM development, fine-tuning, and agent creation through practical coding

Donchitos/Claude-Code-Game-Studios

⭐ 11,762

🍴 1,715

📈 +405

Shell

Turn Claude Code into a full game dev studio — 49 AI agents, 72 workflow skills, and a complete coordination system mirroring real studio hierarchy.

💡 AI Summary:

Turn a single Claude session into a coordinated game dev studio with 49 AI agents and 72 skills.

🔧 Tech stack:Shell, Claude Code, Slash Commands

💼 Use case:Manage complex game development projects by coordinating a team of 49 specialized AI agents and enforcing studio workflo

jamiepine/voicebox

⭐ 19,830

🍴 2,278

📈 +802

TypeScript

The open-source voice synthesis studio

💡 AI Summary:

Open-source local-first voice cloning studio for generating speech and cloning voices.

🔧 Tech stack:Tauri, Rust, TypeScript, MLX, CUDA

💼 Use case:Clone voices and generate speech locally for building voice-powered applications.

lukilabs/craft-agents-oss

⭐ 4,289

🍴 634

📈 +107

TypeScript

No description

💡 AI Summary:

An open-source UI for managing AI agents using Claude and Pi SDKs, enabling natural language API connections and multitasking.

🔧 Tech stack:TypeScript, Claude Agent SDK, Pi SDK, MCP

💼 Use case:A document-centric interface for connecting to and managing AI agents via natural language prompts and APIs.

Tracer-Cloud/opensre

⭐ 1,434

🍴 170

📈 +257

Python

Build your own AI SRE agents. The open source toolkit for the AI era ✨

💡 AI Summary:

Open-source framework for training AI SRE agents to investigate and resolve production incidents.

🔧 Tech stack:Python, Kubernetes, AWS (EC2, Lambda, CloudWatch), 强化学习, 日志/指标/追踪集成

💼 Use case:To create a training environment for AI agents to investigate and resolve production incidents.

obra/superpowers

⭐ 157,734

🍴 13,717

📈 +1,645

Shell

An agentic skills framework & software development methodology that works.

💡 AI Summary:

A framework providing a structured software development methodology for coding agents.

🔧 Tech stack:Claude Code, Shell, AI Agents

💼 Use case:To provide coding agents with a structured methodology for autonomous software development.

z-lab/dflash

⭐ 1,801

🍴 119

📈 +285

Python

DFlash: Block Diffusion for Flash Speculative Decoding

💡 AI Summary:

DFlash is a lightweight block diffusion model designed for efficient speculative decoding and parallel drafting.

🔧 Tech stack:Python, Block Diffusion, Transformers, SGLang, vLLM

💼 Use case:Accelerate LLM inference by enabling high-quality parallel drafting for speculative decoding.

openai/openai-agents-python

⭐ 21,798

🍴 3,488

📈 +624

Python

A lightweight, powerful framework for multi-agent workflows

💡 AI Summary:

A lightweight Python framework for building multi-agent workflows with tools, guardrails, and sandboxing.

🔧 Tech stack:Python, OpenAI API, LLMs, Redis, Voice

💼 Use case:Create complex AI workflows involving multiple agents, tools, and human oversight.

google/magika

⭐ 15,442

🍴 848

📈 +949

Python

Fast and accurate AI powered file content types detection

💡 AI Summary:

Fast and accurate AI-powered file type detection tool using deep learning.

🔧 Tech stack:Python, Rust, JavaScript/TypeScript, GoLang, Deep Learning

💼 Use case:Detects file types accurately to route files for security scanning and content policy enforcement.

pingdotgg/t3code

⭐ 9,432

🍴 1,775

📈 +229

TypeScript

No description

💡 AI Summary:

A minimal web GUI for coding agents like Codex and Claude.

🔧 Tech stack:TypeScript

💼 Use case:A minimal web interface for interacting with AI coding agents like Codex and Claude.

ChromeDevTools/chrome-devtools-mcp

⭐ 35,837

🍴 2,192

📈 +279

TypeScript

Chrome DevTools for coding agents

💡 AI Summary:

An MCP server enabling coding agents to control and debug live Chrome browsers.

🔧 Tech stack:TypeScript, Puppeteer, MCP (Model-Context-Protocol)

💼 Use case:To enable AI coding assistants to automate browser actions and debug web applications reliably.