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Jun 04, 2026 GitHub Trending Board

Success: 14 | Failed: 0Duration: 311s

chopratejas/headroom

12,430
🍴 807
📈 +3,142
Python

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.

💡 AI Summary:

Context compression layer for AI agents that reduces token usage by 60-95% while maintaining accuracy.

🔧 Tech stack:Python, TypeScript, MCP (Model Context Protocol)
💼 Use case:Reduce token usage for AI agents by compressing logs, RAG chunks, and tool outputs locally.

NousResearch/hermes-agent

180,948
🍴 31,037
📈 +1,913
Python

The agent that grows with you

💡 AI Summary:

Self-improving AI agent featuring autonomous skill creation, memory management, and multi-platform support.

🔧 Tech stack:Python, TUI, Docker, OpenAI API
💼 Use case:Deploy a self-improving AI agent that autonomously learns and manages tasks across various platforms and cloud environme

affaan-m/ECC

207,206
🍴 31,811
📈 +1,750
JavaScript

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

💡 AI Summary:

An open-source system for optimizing AI agent performance, memory, and workflows across multiple coding environments.

🔧 Tech stack:JavaScript, Python, AI Agent Harnesses
💼 Use case:Optimize AI coding agent performance and manage workflows across multiple IDEs and platforms using skills, memory, and s

PaddlePaddle/PaddleOCR

79,844
🍴 10,598
📈 +141
Python

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

💡 AI Summary:

A high-accuracy, lightweight OCR toolkit converting images and PDFs into structured LLM-ready data with 100+ language support.

🔧 Tech stack:Python, PaddlePaddle, Deep Learning
💼 Use case:Convert PDFs and images into structured, LLM-ready data for intelligent applications.

github/spec-kit

108,564
🍴 9,597
📈 +321
Python

💫 Toolkit to help you get started with Spec-Driven Development

💡 AI Summary:

Open-source toolkit for Spec-Driven Development to generate code from specifications.

🔧 Tech stack:Python, uv, AI Coding Agents
💼 Use case:Generate working software implementations from executable specifications.

NVIDIA/cosmos

8,987
🍴 579
📈 +133
Jupyter Notebook

NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.

💡 AI Summary:

NVIDIA Cosmos is an open platform of world models and tools for building Physical AI applications.

🔧 Tech stack:Jupyter Notebook, Diffusers, vLLM, Transformers, CUDA
💼 Use case:Enables developers to build Physical AI applications such as robotics, autonomous vehicles, and smart infrastructure.

lfnovo/open-notebook

24,999
🍴 2,914
📈 +212
TypeScript

An Open Source implementation of Notebook LM with more flexibility and features

💡 AI Summary:

A self-hosted, local-first alternative to Google Notebook LM supporting multiple AI models and multi-modal content.

🔧 Tech stack:TypeScript
💼 Use case:Users can self-host a private research assistant that processes local documents and generates AI podcasts using various

Open-LLM-VTuber/Open-LLM-VTuber

9,574
🍴 1,149
📈 +581
Python

Talk to any LLM with hands-free voice interaction, voice interruption, and Live2D taking face running locally across platforms

💡 AI Summary:

A local Python project enabling hands-free voice interaction with LLMs and Live2D avatars on desktop and web.

🔧 Tech stack:Python, Live2D, Web 技术
💼 Use case:Create a personal AI companion or virtual pet with hands-free voice interaction and Live2D visuals.

jwasham/coding-interview-university

349,706
🍴 83,225
📈 +632

A complete computer science study plan to become a software engineer.

💡 AI Summary:

A comprehensive computer science study plan designed to prepare candidates for software engineering technical interviews at major tech companies.

🔧 Tech stack:Computer Science, Data Structures, Algorithms, Operating Systems, Networking
💼 Use case:A self-taught roadmap for individuals preparing for software engineering technical interviews at major tech companies.

github/copilot-sdk

8,961
🍴 1,211
📈 +38
Java

Multi-platform SDK for integrating GitHub Copilot Agent into apps and services

💡 AI Summary:

Multi-platform SDK for embedding GitHub Copilot Agent workflows into applications.

🔧 Tech stack:Java, Python, TypeScript, Go, .NET
💼 Use case:Embed Copilot's agentic workflows into applications programmatically.

aquasecurity/trivy

35,664
🍴 430
📈 +255
Go

Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more

💡 AI Summary:

A versatile Go-based security scanner for finding vulnerabilities, misconfigurations, and secrets in containers, Kubernetes, and code repositories.

🔧 Tech stack:Go, Docker
💼 Use case:Use Trivy to identify security vulnerabilities, misconfigurations, and secrets in containers, Kubernetes clusters, and c

openclaw/openclaw-windows-node

1,318
🍴 167
📈 +411
C#

Windows companion suite for OpenClaw - System Tray app, Shared library, Node, and PowerToys Command Palette extension

💡 AI Summary:

Native Windows companion suite for the OpenClaw AI personal assistant.

🔧 Tech stack:C#, WinUI 3, .NET 10.0, WebView2, PowerShell
💼 Use case:Provides quick access and local management for the OpenClaw AI assistant on Windows systems.

reconurge/flowsint

5,303
🍴 638
📈 +308
TypeScript

A modern platform for visual, flexible, and extensible graph-based investigations. For cybersecurity analysts and investigators.

💡 AI Summary:

A modern open-source OSINT platform for visual graph-based investigations and entity relationship analysis.

🔧 Tech stack:TypeScript, Docker, Make
💼 Use case:It allows cybersecurity analysts to explore relationships between entities through a visual graph interface and automate

mvanhorn/last30days-skill

27,558
🍴 2,345
📈 +199
Python

AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary

💡 AI Summary:

An AI agent skill that aggregates data from Reddit, X, YouTube, HN, and Polymarket to synthesize grounded summaries based on real engagement metrics.

🔧 Tech stack:Python, AI Agent, Web Scraping
💼 Use case:Developers and researchers can use this skill to aggregate and synthesize information from social media and financial pl