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Starred repositories
Support TeX math equations with your Markdown documents.
Markdown-it plugin to include math in your document
⚡️ Blazing fast scrolling for any amount of data
A Deepseek client written for Go supporting R-1, Chat V3, and Coder. Supports providers like Azure, OpenRouter and others.
Easily generate and modify .docx files with JS/TS with a nice declarative API. Works for Node and on the Browser.
Markdown rendering + Latex extras (equations, tables, ...), with conversion features, for the scientific community
Lightpanda: the headless browser designed for AI and automation
A GUI Agent application based on UI-TARS(Vision-Language Model) that allows you to control your computer using natural language.
Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
A blazing fast inference solution for text embeddings models
A computer algebra system written in pure Python
Simple Safe Sandboxed Extensible Expression Evaluator for Python
Model Context Protocol Servers for Milvus
A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
This is probably the best web presentation tool so far!
The most reliable AI agent framework that supports MCP.
Model Context Protocol Servers
#1 Locally hosted web application that allows you to perform various operations on PDF files
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
No fortress, purely open ground. OpenManus is Coming.
A high-performance distributed file system designed to address the challenges of AI training and inference workloads.
Toolkit for linearizing PDFs for LLM datasets/training
Integrate the DeepSeek API into popular softwares
Medical o1, Towards medical complex reasoning with LLMs
SGLang is a fast serving framework for large language models and vision language models.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.