A comprehensive Simultaneous Localization and Mapping (SLAM) implementation in Python with advanced ROS 2 integration, PX4 flight control, and containerized deployment capabilities. This project provides a complete SLAM framework with advanced computer vision techniques and integration capabilities for autonomous navigation applications.

Enterprise-grade Retrieval-Augmented Generation system with autonomous agent capabilities

Agent-MCP is a framework for creating multi-agent systems that enables coordinated, efficient AI collaboration through the Model Context Protocol (MCP). The system is designed for developers building AI applications that benefit from multiple specialized agents working in parallel on different aspects of a project.

An intelligent research assistant powered by LangChain and Claude that helps neuroscience researchers query neural datasets, generate summaries, and plan experiments.

Production-oriented Model Context Protocol server scaffolding for TypeScript. This repository gives you a working starting point for building MCP servers that need more than a bare transport layer. It already includes transport bootstrapping, tool registration, schema validation, execution timeouts, context resolution, plugin hooks, logging