The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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Large Language Model
A large language model (LLM) is a type of machine learning model designed for understanding, generating, and interacting with human language. These models are trained on extensive datasets containing text from books, articles, websites, and other sources to learn patterns, context, and semantics in language. LLMs are widely used in applications like chatbots, code generation, translation, summarization, and more. They are often built using transformer architectures and are central to the field of generative AI.
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AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
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f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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The API to search, scrape, and interact with the web at scale. 🔥
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Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
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User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
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The agent engineering platform.
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🌐 Make websites accessible for AI agents. Automate tasks online with ease.
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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
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TradingAgents: Multi-Agents LLM Financial Trading Framework
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Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
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🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
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Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
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A high-throughput and memory-efficient inference and serving engine for LLMs
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🙌 OpenHands: AI-Driven Development
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Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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