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AutoResearch: AI/ML Research Agents from Idea to Paper-Ready Evidence
AutoResearch is an open-source agent workflow designed for AI and machine learning research. It automates the entire research process, from generating ideas and planning experiments to execution, analysis, and independent evaluation. This project helps researchers produce paper-ready evidence efficiently and with traceable provenance.
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AutoResearch: AI/ML Research Agents from Idea to Paper-Ready Evidence
AutoResearch is an open-source agent workflow designed for AI and machine learning research. It automates the entire research process, from generating ideas and planning experiments to execution, analysis, and independent evaluation. This project helps researchers produce paper-ready evidence efficiently and with traceable provenance.
HarnessRouter: Unified Interface for AI Agent Harnesses
HarnessRouter Community Edition provides a self-hosted, Apache-2.0 licensed unified interface for various AI agent harnesses like Codex, Claude Code, and Hermes. It allows users to run multiple agents through a single API, offering features such as sessions, streaming, file handling, and cancellation. The project implements the open-standard Unified Harness Protocol (UHP), ensuring users maintain control over their keys and infrastructure.
skills: A Collection of Agent Skills for Building Great Interfaces
The `skills` repository by Jakub Krehel offers a comprehensive collection of agent skills designed to enhance interface development. It provides tools and guidelines covering UI, typography, colors, accessibility, layout, and product writing. This resource is invaluable for developers and designers aiming to create high-quality, user-friendly interfaces.
Guaardvark: Your Self-Hosted AI Studio for Agents, Media, and Code
Guaardvark is a comprehensive, self-hosted AI studio designed for local execution of advanced AI tasks. It integrates coding agents, media generation (video, image, music, voice), and robust RAG capabilities, all running on a single GPU. This platform prioritizes privacy and user control, enabling a full AI workstation experience on your own hardware.
AREX-Skill: A Skill Library for Automated Machine Learning and Auto-Research
AREX-Skill is a powerful skill library designed to advance automated machine learning and auto-research. It distills over 5,000 executable skills from more than 1,000 popular GitHub repositories, making complex ML knowledge directly usable by coding agents. This project significantly enhances agent performance in various research tasks by providing structured, validated operating knowledge.
Maka: A High-Performance Agent Workspace for AI Tasks
Apache Maka (Incubating) is a high-performance agent workspace designed to maintain a complete, append-only record of all agent actions. It focuses on measurable performance, local-first operation, and robust recovery mechanisms. This project provides a unified execution authority for desktop, TUI, and CLI clients, ensuring consistent agent behavior across platforms.
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ice.js: A Progressive React-Based Application Framework by Alibaba
ice.js is a universal framework built on React.js, designed for building progressive applications. It offers a zero-config setup, supports various development practices, and provides hybrid rendering capabilities for both SSG and SSR. The framework also boasts a robust plugin system and multi-end support for web, miniapp, and Weex.
ownCloud Core: Secure and Self-Hosted File Sharing and Collaboration Platform
ownCloud Core is the robust foundation of the ownCloud web server, providing secure file sharing and collaboration. This PHP-based platform allows users to host their files, contacts, and calendars on their own server, emphasizing privacy and control. With over 8,700 stars, it's a popular choice for self-hosting and expandable cloud benefits.
WeSQL: MySQL with S3-Backed Compute-Storage Separation
WeSQL is an innovative MySQL distribution featuring a compute-storage separation architecture, leveraging S3 for all storage. This design allows it to run on any cloud, providing enhanced data reliability and preventing vendor lock-in.
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