Projects sharing features with Thinking Claude

DeepSeek-R1 is an open-weights large language model focused on advanced reasoning. It uses chain-of-thought processing and internal monologues to solve complex mathematical and logical problems by breaking tasks into sequential, verifiable thought processes. The model is developed using reinforcement learning to optimize reasoning patterns and verify logical steps. It employs a distillation process to transfer these high-performance logic capabilities from a large teacher model into smaller, computationally efficient versions. The training framework incorporates group relative policy optimiz

Parlant is an agentic workflow engine and orchestration framework designed for building conversational AI that adheres to strict behavioral guidelines. It provides a platform for managing multi-turn interactions through state-machine-based logic, allowing developers to define complex, hierarchical conversational flows that can adapt, skip, or revisit steps based on real-time user input. The framework distinguishes itself through its focus on behavioral governance and observability. It enables developers to define precise domain terminology and enforce instruction compliance through prioritize

Sglang is a high-performance inference engine and serving system designed for large language and multimodal models. It provides a programmable interface for orchestrating complex generation workflows, enabling developers to coordinate multi-turn dialogues, tool invocations, and reasoning chains through a domain-specific language. The platform is built to support production-scale deployments, offering an OpenAI-compatible API that allows for integration with existing application ecosystems. The system distinguishes itself through a disaggregated architecture that separates compute-intensive pr

Vercel is a cloud platform for building, deploying, and scaling web applications. It provides a unified infrastructure that automates the build process by detecting project frameworks and distributing static and dynamic content through a global content delivery network. The platform executes application logic using serverless functions that scale automatically based on real-time traffic demand. The platform distinguishes itself through a centralized AI gateway that proxies requests to multiple model providers, enabling standardized authentication, observability, and cost tracking. It supports

Kimi-K2 is a conversational AI engine and reasoning framework designed for text generation, advanced problem solving, and coding tasks. It functions as a tool-augmented language model capable of producing human-like chat responses through a compatible model interface. The system utilizes a reasoning-optimized architecture that separates standard conversational flow from deep logical processing. This allows the model to execute autonomous tasks by invoking external functions and calling APIs to retrieve real-time data. The project supports structured JSON output parsing for function-call inte

Learn_Prompting is an educational project focused on prompt engineering, providing the principles and techniques required to craft effective inputs and improve the quality of generative AI outputs. The project covers advanced prompting strategies to enhance reasoning, reliability, and output quality. This includes techniques for task decomposition, chain-of-thought reasoning, and the use of few-shot and zero-shot guidance. It also addresses model security through the study of prompt hacking, vulnerability analysis, and privacy auditing to prevent sensitive data leaks. The scope extends to th

This project is a technical resource and implementation guide for building transformer-based language model architectures and training pipelines from scratch. It focuses on the design of models capable of natural language processing, including the integration of pretrained weights and the creation of foundational model frameworks. The project specifically emphasizes logical reasoning and mathematical problem solving. It provides a framework for optimizing these capabilities through reinforcement learning and the use of automated verifiers to evaluate and reward correct reasoning paths. The r

This project is a technical curriculum and development guide focused on large language model prompt engineering, fine-tuning, and the creation of retrieval augmented generation applications. It serves as a comprehensive resource for developers to master crafting precise instructions and textual patterns to improve the quality and predictability of model outputs. The material covers the end-to-end workflow of adapting open-source models to specific datasets and integrating language models with vector databases to generate responses based on private information. It also provides a systematic ap

This project provides a set of jailbreak prompts and prompt engineering templates designed to bypass safety filters and content restrictions in large language models. It functions as an uncensored framework that uses specific instructions to force models to generate restricted text. The system employs persona-driven constraint bypass and role-play based prompting to simulate an unrestricted personality. These techniques use instructional override mechanisms to prioritize a new set of rules over the model's internal training and maintain a specific character identity across multi-turn conversa

gpt-oss is an open-weight large language model and reasoning engine designed for complex reasoning and agentic workflows. It functions as an AI agent framework and model serving API, allowing for local deployment and the hosting of standardized interfaces to expose model completions and internal reasoning processes. The project distinguishes itself as a quantized inference engine, utilizing tensor parallelism and weight quantization to run high-parameter models on limited hardware. It features a reasoning model that employs chain-of-thought processing to solve multi-step logical tasks. The s

This project is a collection of architectural templates and design patterns for building autonomous AI agents. It provides a framework for transitioning from simple prompt-response loops to goal-oriented systems that utilize structural patterns to increase autonomy and improve the reliability of complex task completion. The framework focuses on reasoning orchestration, specifically through the implementation of reflection and self-correction cycles. It enables the coordination of specialized agents via task delegation and state sharing to solve complex problems. The architectural surface cov

Cherry Studio is a cross-platform desktop application that serves as a centralized workspace for managing and interacting with multiple artificial intelligence models. It functions as a local-first orchestrator, prioritizing user privacy by storing all conversation history and knowledge bases directly on your device. By providing a unified interface for both cloud-based and local AI services, the platform simplifies API key management and allows for consistent model interaction across different operating systems. The application distinguishes itself through a robust retrieval-augmented genera

This project is an agentic workflow orchestrator designed for building and deploying autonomous systems that perform multi-step reasoning. It functions as a tool-augmented engine, enabling developers to chain model calls with external function execution to complete complex, user-defined tasks. By integrating large language models with persistent memory and stateful logic, the framework supports the creation of intelligent applications capable of independent operation. The platform distinguishes itself through graph-based state orchestration, which allows developers to define logic steps and t

GitHub-Dark is a browser extension theme and collection of user style sheets designed to provide a comprehensive dark mode aesthetic for the GitHub interface. It functions by injecting custom style rules directly into the browser to override default website colors, fonts, and layout properties, aiming to improve visual comfort and readability during extended use. The project distinguishes itself through its focus on deep integration and visual consistency. It includes specialized support for syntax highlighting across various programming languages and notebook environments, ensuring that code

PentestGPT is an autonomous security testing framework that leverages large language models to plan, execute, and coordinate end-to-end penetration testing engagements. By functioning as an autonomous agent, the system automates the entire testing lifecycle, from initial reconnaissance and vulnerability analysis to the generation of custom exploits and the execution of post-exploitation tasks. The platform distinguishes itself through a multi-agent orchestration system that coordinates specialized AI agents to collaborate on complex, multi-stage attack chains. It integrates multimodal context

Qwen3-Coder is a specialized large language model designed for software development, technical reasoning, and automated code synthesis. Built on transformer-based sequence modeling, it functions as a multilingual programming assistant capable of generating, completing, and debugging source code across more than one hundred programming languages. The model distinguishes itself through its capacity to process and maintain logical coherence across massive datasets, supporting context windows of up to one million tokens. This allows for repository-scale reasoning, enabling the model to analyze co

Method-Draw is a browser-based vector graphics editor designed for creating and modifying scalable vector illustrations. It provides a workspace for managing vector paths, typography, and canvas layouts, allowing users to produce illustrations directly within a web environment using standard vector markup language. The software distinguishes itself by offering precise control over vector geometry, enabling users to manipulate individual nodes, segments, and curves to refine complex shapes. It integrates a comprehensive toolset for drawing and editing paths, alongside features for typography f

This project is a comprehensive JavaScript programming tutorial and language reference. It serves as a web development education resource providing instruction on modern language fundamentals, object-oriented design, and advanced asynchronous programming patterns. The resource functions as both a frontend development guide and a technical reference. It covers core language features such as closures, prototypes, promises, and typed arrays, while providing practical lessons on managing browser data and handling network requests. The content spans several key capability areas, including browser

Pike-RAG is a framework designed for industrial-grade language model applications that require high factual accuracy and logical consistency. It functions as a platform for orchestrating multi-agent systems and implementing rationale-augmented generation, ensuring that model outputs are grounded in specialized domain knowledge rather than relying solely on internal training data. The system distinguishes itself through its ability to decompose complex, high-level queries into atomic tasks that are executed by specialized autonomous agents. By enforcing explicit logical reasoning steps before

This project is a comprehensive guide and framework for large language model prompt engineering. It provides a collection of techniques and patterns for optimizing model responses through structured system prompts, context management, and a variety of implementation patterns. The project focuses on several specialized domains, including the creation of autonomous agents through reasoning loops and the implementation of retrieval augmented generation to inject semantic context into prompts. It also provides methods for enforcing structured outputs in serialization formats like JSON or YAML for

This project is a collection of reference implementations for vanilla web applications, interactive browser games, and core frontend development patterns. It consists of small web applications and tools built using standard HTML, CSS, and JavaScript without the use of external frameworks or libraries. The collection demonstrates various practical implementations, including browser-based mini games with arcade and word-guessing mechanics, as well as frontend interface prototypes. These examples cover the use of the native document object model for state manipulation and the implementation of i

vue-office is an office document preview library and web-based document viewer designed to render Word, Excel, PowerPoint, and PDF files directly in a web browser. It provides a collection of reusable components that allow for the display of documents using network URLs, data buffers, or blob data without requiring external plugins. This rendering solution is built as a cross-framework document renderer, offering integration for Vue 2, Vue 3, and React. It enables client-side document display to avoid server-side conversion processes. The library handles document visualization through client

ERNIE is a development toolkit for training, fine-tuning, and deploying large language models built on the PaddlePaddle deep learning platform. It provides a comprehensive suite of core components, including an inference server for vision and language models, a training and fine-tuning toolkit, and a framework for building retrieval-augmented generation systems using private knowledge bases. The project features multimodal AI models capable of reasoning across text, images, and video to perform complex visual understanding and information extraction. It distinguishes itself through specialize

This project provides an advanced English curriculum and a set of instructional guides designed to help non-native speakers move from intermediate to advanced proficiency. It functions as a guide for AI-powered language training, utilizing structured workflows and prompt engineering with large language models to facilitate self-directed study. The system implements AI workflow orchestration, chaining different artificial intelligence models into feedback loops to automate linguistic exercises and corrections. This approach combines multiple AI specializations to coordinate training across lis

bilibili-helper-o is a browser extension designed to modify the Bilibili web interface and enhance media playback and download capabilities. It functions as a playback enhancer and web interface modifier that injects custom scripts into the platform to customize the video player and layout. The project provides tools to remove regional and account-based viewing restrictions on Bilibili content. It also includes a video downloader extension capable of extracting and saving video streams from the platform to local storage for offline archiving. These capabilities are implemented through networ

Gemini Voyager is a browser-based toolkit designed to enhance the interface and workflow of large language model web applications. It serves as a conversation manager, an output renderer, and a prompt library manager, allowing users to customize the layout and functionality of AI chat interfaces. The project distinguishes itself through advanced content handling, such as removing image watermarks by reversing alpha blending to restore original pixels. It also provides specialized rendering for LaTeX mathematical formulas and Mermaid diagrams, alongside tools to fix broken Markdown formatting