After the release of GPT-5, web crawler activity surged by approximately 300%, massively collecting real-time, high-quality data. This indicates that AI competition has entered a new phase of deep data mining, aiming to enhance models' precise capture of global information.....
At the Beijing International Film Festival, Tim from Film Turbulence shared their AI video creation journey, including backlash after labeling AI-generated content. They used AI in drone reviews to highlight product features.....
Elon Musk's xAI plans a best-of-five match between AI model Grok 5 and top League of Legends team T1, with AI limited to visual input and human-like reaction speeds. Musk challenged T1 in November, targeting the six-time champions.....
LiteLLM terminated its partnership with compliance company Delve due to a security vulnerability, and will switch to a competitor for security certification. Previously, its open-source version was attacked by malicious software, exposing Delve's negligence in security audits, triggering industry concerns about the compliance of AI infrastructure.
Describe animations and instantly obtain production-ready React code or AI videos without the need for a timeline editor.
AI-driven website migration tool that converts old websites into React and Next.js templates in 10 - 20 minutes.
A visual feedback tool for agents.
Streamdown is a plug-and-play alternative to React Markdown designed for AI-driven streaming processing.
Alibaba
$1.6
Input tokens/M
$4
Output tokens/M
128
Context Length
Chatglm
-
quwsarohi
NanoAgent is a compact large intelligent language model with 135 million parameters and an 8k context length. It is specifically optimized for tool calls and instruction following, and can run efficiently on personal devices, supporting lightweight inference and ReAct-style interactions.
software-mansion
Qwen 3 is a language model based on the ExecuTorch runtime, offering both quantized and non - quantized versions of different scales.
Tesslate
Tessa-T1 is a React-specific reasoning model fine-tuned based on Qwen2.5-Coder-32B-Instruct, focusing on generating well-structured and semantically clear React components.
Tessa-T1 is a React-specific inference model fine-tuned based on Qwen2.5-Coder-3B-Instruct, specializing in generating high-quality React component code.
Tessa-T1 is a React-specialized reasoning model fine-tuned based on Qwen2.5-Coder-7B-Instruct, designed specifically for React frontend development, capable of autonomously generating well-structured, semantic React components.
Tessa-T1 is a fine-tuned React reasoning model based on Qwen2.5-Coder-14B-Instruct, specifically designed for React frontend development, capable of autonomously generating well-structured and semantically clear React components.
sagawa
ReactionT5v2 is a pre - trained chemical retrosynthetic prediction model based on the Transformer architecture, specifically designed to predict the reactants of chemical reactions. This model is trained on the Open Reaction Database (ORD) and the USPTO_50k dataset, and can convert the SMILES of the target product into the possible SMILES of the reactants, providing support for the design of chemical synthesis routes.
ReactionT5v2-forward is a pre-trained chemical model based on the T5 architecture, specifically designed for predicting chemical reaction products. This model can accurately predict the products of chemical reactions based on the given reactant and reagent information and performs excellently in forward reaction prediction tasks.
modelscope
Trained on the Llama3-8b-instruct base model, adapted for Chinese general scenarios, supports ReACT format agent calls
AI4PD
REXzyme is a Transformer-based translation machine that can generate novel enzyme sequences capable of catalyzing user-defined chemical reactions.
svjack
An English event reasoning model based on the T5 architecture, used to analyze event prerequisites, effects, intentions, and reactions
ZymCTRL is a conditional language model for generating artificial functional enzymes, trained on more than 37 million enzyme commission (EC) annotated sequences from the UniProt database. When users provide a specific EC number, the model can generate protein sequences that meet the corresponding catalytic reactions. The generated sequences are ordered, globular, and significantly different from natural sequences while maintaining the expected catalytic properties.
jsylee
A named entity recognition model fine-tuned based on SciBERT, specifically designed to identify drug names and adverse drug reaction entities
julien-c
This model is a fine-tuned text classification model based on the distilroberta-base architecture, trained on the julien-c/reactiongif dataset, primarily used for reaction GIF classification tasks.
An MCP server that provides shadcn/ui component integration for AI workflows, supporting React, Svelte, and Vue frameworks. It includes functions for accessing component source code, examples, and metadata.
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
ReActMCP Web Search is an MCP server integrated with the Exa API, providing real-time web search functionality for AI assistants, supporting basic search and advanced filtering options, and returning results in Markdown format.
The Dify MCP client plugin, as an agent strategy plugin, allows ReAct agent nodes to connect to the MCP server, converting the list of tools, resources, and prompts into Dify tools for LLM to call.
The MCP Front - end Testing Server provides functions such as code analysis, test generation and execution, and React component testing, and supports the Jest and Cypress frameworks.
This project is an MCP client based on LangChain, used to demonstrate how to call MCP server tools through the LangChain ReAct Agent. It supports the LLMs of Anthropic, OpenAI, and Groq and provides the function of converting MCP tools to LangChain tools.
An unofficial Reactome MCP server that provides a model context protocol service for accessing Reactome pathway and systems biology data. It includes 8 verified functional tools covering bioinformatics analyses such as pathway search, detail acquisition, gene association, and disease mechanism.
An MCP wrapper around the Reactive Resume REST API for operating resume data through MCP tools.
The React Native MCP server is a platform that provides comprehensive development tools, aiming to optimize the React Native development experience. It includes functions such as project initialization, version management, automated upgrades, and Expo integration. It simplifies the development process through AI assistance.
React MCP is a server that implements the model context protocol, providing Claude AI with the ability to interact with React applications, supporting project management, file operations, and process control.
A desktop application project based on Electron, React, and TypeScript
Tool for converting Figma designs to React Native code
This project provides a complete guide for building an MCP server, which is used to deploy trained random forest models and integrate with the Bee framework to implement ReAct interaction functions.
An MCP server optimized for the Cursor IDE, supporting AI-driven React component generation, customization, and documentation, providing out-of-the-box component library integration.
A service based on the Model Context Protocol (MCP) that provides search, category browsing, and usage example functions for the Lucide React icon library, supporting AI coding assistants and proxy applications to access icon resources.
Implementation of the Index Network MCP server for integrating ChatGPT with the Index Network discovery protocol, providing React widget development and hot reload functionality
MCP remote server implemented in Node.js, providing React Native coding standards and code examples
React + TypeScript + Vite project template, providing a quick development environment configuration, supporting hot updates and ESLint rules.
An intelligent React component generation MCP server based on the Reablocks design system, which generates production-ready TypeScript components through natural language processing, including responsive layout and accessibility support.
The LangChain MCP client is a project that demonstrates how to use MCP server tools through the LangChain ReAct agent. It supports flexible selection of LLM models and enables dynamic interaction via the CLI.
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