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 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.
A curated collection showcasing what's possible with ChatGPT Code Interpreter, featuring experiments that push boundaries and unlock creative potential through the combination of AI and code execution.
A curated list of SDKs, frameworks, libraries, and tools for creating, monitoring, debugging and deploying autonomous AI agents, maintained by the E2B team.
The first systematic Vibe Coding open-source tutorial in China, designed for complete beginners. Learn to transform ideas into full-stack projects using AI-assisted programming, empowering everyone to become a Builder.
A systematic learning tutorial on AI agents from the Datawhale community, covering foundational theory to practical application. It enables developers to transition from language model users to intelligent system builders.
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