Popular GitHub Repositories for Context

A concise list for mcp servers

From anywhere you can type, query and stream the output of an LLM or any other script

Context Axial Reverse Attention Network for Small Medical Objects Segmentation

Enable any LLM (e.g. Claude) to interactively debug any language for you via MCP and a VS Code Extension

? Repair JSON！Solution for JSON Anomalies from LLMs.

Effibot: A ChatGPT server with tree-based data structure for efficient context management, providing a mind map-like Q&A experience.

In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch.

Control your Android devices with AI using Model Context Protocol

CLI tool to produce MD context files from many sources, to help interact with LLMs (ChatGPT, Llama3, Claude, etc.).

The goal is to parse,process and ingest codebase/s to form a pluggable knowledge Graph and become the unified code context provider

The long-term memory for your Superagents ?and LLMs ?. Built with GraphRAG, Knowledge graphs and autonomous ai agents

A blazing-fast CLI tool to export a directory's structure and contents into a neatly formatted `.txt` or `.json` file.

CodeMerge is useful for consolidating code from various files into a single file that can be used as context for AI code generation models. By merging relevant code and passing it to an LLM, the model can generate more accurate and contextually relevant code snippets.

降低成本并提高效率：优化AI编码助手代码理解能力的技术和工具

Export the complete contents of your project directory into a context file for LLMs.

一个模型上下文协议 (MCP) 服务器，它为大型语言模型 (LLM) 提供文件系统上下文。该服务器使 LLM 能够读取、搜索和分析代码文件，并具有高级缓存和实时文件监控功能。

CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework

Code-to-Text for AI Context Generator

An OpenAI GPT-3 AI chatbot frontend with speech-to-text and text-to-speech written in Python

Claude Server is an MCP implementation that enhances Claude's capabilities by providing sophisticated context management across sessions, enabling persistent knowledge organization through hierarchical project contexts and continuous conversation threads stored in a well-structured ~/.claude directory.