Repository History
Explore all analyzed open source repositories
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Paper2Code is an innovative multi-agent LLM system designed to automate the generation of code repositories directly from scientific papers in machine learning. It employs a sophisticated three-stage pipeline, encompassing planning, analysis, and code generation, each managed by specialized agents. This approach ensures faithful and high-quality implementations, outperforming existing baselines on relevant benchmarks.
linctl: A Powerful CLI Tool for Linear API Management
linctl is a robust command-line interface designed for managing Linear's API, catering to both automated agents and human users. Built in Go with Cobra, it offers extensive features for issue, project, and team management. This tool streamlines Linear workflows, providing flexible output formats and powerful filtering capabilities.
yabai: A Tiling Window Manager for macOS
yabai is a powerful tiling window manager designed specifically for macOS. It extends the operating system's built-in window manager, offering advanced control over windows, spaces, and displays via a command-line interface. Utilizing a binary space partitioning algorithm, yabai automatically arranges windows to maximize screen real estate and minimize distractions, fostering a more focused work environment.
Trae Agent: An LLM-Based Agent for General Software Engineering Tasks
Trae Agent is an LLM-based agent designed for general-purpose software engineering tasks, offering a powerful CLI interface that understands natural language instructions. It enables complex software engineering workflows using various tools and LLM providers, featuring a transparent, modular, and research-friendly architecture. This project is ideal for studying AI agent architectures and developing novel agent capabilities.
handit.ai: Your AI Teammate for Reliable Production AI
handit.ai is an open-source AI teammate designed to ensure the reliability of your AI applications in production. It automatically detects issues like hallucinations and schema breaks, generates and tests fixes, and ships them as pull requests. This tool eliminates 2 AM debugging sessions, making AI truly dependable.
n8n-nodes-mcp: Seamless AI Integration with Model Context Protocol
The n8n-nodes-mcp is a custom n8n node designed to facilitate interaction with Model Context Protocol (MCP) servers. It empowers n8n workflows to connect with AI models, access resources, execute tools, and utilize prompts in a standardized manner, significantly enhancing AI agent capabilities.
TaskSync: Terminal-Based AI Agent for Efficient Task Management
TaskSync is a terminal-based AI agent designed to enhance efficiency and reduce premium request usage with tools like Copilot. It facilitates a human-in-the-loop workflow, allowing users to provide feedback or new tasks directly through the terminal. This autonomous agent operates continuously, streamlining AI-assisted development by actively requesting tasks.
sitefetch: Efficiently Scrape Websites for AI Model Training and Analysis
sitefetch is a powerful command-line utility designed to fetch and save entire websites as plain text files. This tool is particularly useful for preparing large datasets for AI model training, allowing easy consumption of web content. It offers flexible options for page matching and content selection, ensuring relevant data extraction.
Scrapling: An Undetectable, Powerful, and Adaptive Python Web Scraping Library
Scrapling is a high-performance Python library designed for effortless web scraping. It stands out with its adaptive capabilities, automatically adjusting to website changes, and advanced stealth features to bypass anti-bot systems. This makes it a robust solution for modern web data extraction needs.
MagicTunnel: Smart MCP Proxy for AI-Powered Tool Discovery
MagicTunnel is an intelligent MCP proxy designed to simplify interaction with numerous tools by providing a single, smart interface. It analyzes natural language requests, automatically discovers the best tool, maps parameters, and executes it, returning the result. This eliminates the need for users to manually navigate dozens of tools, streamlining complex workflows.