Showing 161-180 of 247 projects
A Python server for creating, editing, and manipulating PowerPoint presentations using the MCP protocol.
A PyTorch implementation of the BiDAF network for question-answering on the SQuAD dataset.
Practical productivity tools for building with AI coding agents like Claude Code and Codex-CLI.
Go Router with middleware for building web applications.
Advanced framework for building AI coding agents that can understand context and provide smarter code assistance.
A command-line tool for interacting with MCP (Model Context Protocol) servers using stdio and HTTP.
Enables AI assistants like Cursor, Windsurf, and Claude Desktop to control Unreal Engine using natural language with the Model Context Protocol (MCP).
MultiAgentPPT is an AI-powered presentation generation system that leverages multi-agent collaboration and streaming concurrency.
Development environment for Claude Code that enforces tests and delivers production-grade code with reliability.
A platform-agnostic logging library for NestJS based on Pino with request context in every log.
AI memory system enabling persistent context & recall for agents and LLMs
mcp-language-server provides a language server that gives MCP-enabled clients access to semantic tools like definition, references, rename, and diagnostics.
This repository contains the source code for a tool to analyze the real context size of long-context language models.
LongLLaMA is a large language model capable of handling long contexts.
A context menu for Electron apps, providing a simple and customizable way to interact with the app.
A simple state management library for React applications that uses React Context API.
A Python project that provides automatic context memory for AI tools like Claude, VS Code, and Cursor.
A repository of resources about public speaking for software developers and IT professionals.
Distributed tracing, metrics, and context propagation for JVM applications
Multi-AI collaboration bridge enabling Claude, Codex & Gemini to work together with persistent context and low token overhead
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