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A discovery and compression tool for your Python codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project | Code structure visualization | LLM Context Window Efficiency | Static analysis for AI | Large Language Model tooling #LLM #AI #Python #CodeAnalysis #ContextWindow #DeveloperTools
An MCP server that provides safe, read-only access to SQLite databases through Model Context Protocol (MCP). This server is built with the FastMCP framework, which enables LLMs to explore and query SQLite databases with built-in safety features and query validation.
A lightweight tool to optimize your Javascript / Typescript project for LLM context windows by using a knowledge graph | AI code understanding | LLM context enhancement | Code structure visualization | Static analysis for AI | Large Language Model tooling #LLM #AI #JavaScript #TypeScript #CodeAnalysis #ContextWindow #DeveloperTools
A lightweight tool to optimize your C# project for LLM context windows by using a knowledge graph | Code structure visualization | Static analysis for AI | Large Language Model tooling | .NET ecosystem support #LLM #AI #CSharp #DotNet #CodeAnalysis #ContextWindow #DeveloperTools
A discovery and compression tool for your Java codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project #LLM #AI #Java #CodeAnalysis #ContextWindow #DeveloperTools #StaticAnalysis #CodeVisualization
ScribePal is an Open Source intelligent browser extension that leverages AI to empower your web experience by providing contextual insights, efficient content summarization, and seamless interaction while you browse.
🌐 OpenCrawl: An ethical, high-performance web crawler built for scale A powerful web crawling library that respects robots.txt and rate limits while leveraging Kafka for high-throughput data processing. Built with ethics and efficiency in mind.
An open-source, AI-powered Functions-as-a-Service (FaaS) platform that enables LLMs like ChatGPT to perform real-world tasks through dynamic function execution. By connecting LLMs to function calls, Ingra unlocks automation, complex integrations, and real-time context loading—paving the way towards true AGI potential and beyond.
This repository contains a modular, scalable chatbot system leveraging LLMs (Large Language Models) with a microservices architecture. The chatbot is built for retrieval-augmented generation (RAG), enabling intelligent, context-aware responses.
A Model Context Protocol (MCP) application for automated GitHub PR analysis and issue management. Enables LLMs to fetch PR details, analyse diffs, manage issues, and handle releases through a standardised interface
A TypeScript-based autonomous agent framework with modular systems for memory, planning, and tool integration. Features vector-based recall, multi-strategy planning, and extensible tools for AI agent development.
MCP server for Microsoft Sentinel. Enables access to Sentinel logs, incidents, analytics, and Entra ID data via a modular, queryable interface. Strictly non-production. Designed for use with Claude and other LLMs.
This React application allows users to enter their GitHub token and repository URL to generate a comprehensive Markdown file structure. Each file’s code is listed sequentially, facilitating seamless copying for LLM integration. Enhance your development workflow with this efficient tool!
This project focuses on automating the analysis and reporting of bibliometric data, specifically targeting the annual production of academic articles. The primary goal is to understand trends, anomalies, and patterns in bibliometric data through a combination of statistical modeling and exploratory data analysis.