A modular Python toolkit developed by the University of Innsbruck that integrates information retrieval, re-ranking, and RAG generation, featuring 40+ pre-processed datasets and single-line pipeline construction.
A systematic skill library for AI Agent context management, covering fundamentals, architectural patterns, operational optimization, and evaluation systems. Compatible with Claude Code, Cursor, and other platforms. Distinguished from prompt engineering by its holistic approach to curating all information entering the model's attention budget.
A curated collection of papers on building and evaluating language model agents via executable language grounding, covering LLM code generation, agents with tool use, web grounding, and robotics research.
A continuously updated repository systematically organizing 106 research papers on Large Language Model-based agents for Software Engineering, categorized from both Software Engineering and agent architecture perspectives.
A benchmark for evaluating the code generation capabilities of large language models, featuring 1,140 software-engineering-oriented programming tasks with two modes (Complete and Instruct) to test models on complex instructions and diverse function call scenarios.
An interactive debugging tool designed for deep learning research that enables real-time visualization, inspection, and analysis of neural network behavior directly within Jupyter notebooks.
An open-source framework designed to build intelligent search and research agents with capabilities for deep web search, content extraction, and comprehensive answer generation.
A comprehensive resource hub for Agent Skills, collecting and sharing high-quality tutorials, case studies, and practical implementations to help developers quickly get started with the Agent Skills standard.
A practical course code repository based on the LangChain framework, containing 23 chapters of hands-on examples to help developers master LLM application development.
A comprehensive open tutorial resource for LangChain and LangGraph designed for users of all skill levels, featuring practical examples and coverage of the latest features.
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