Context management for long-context LLMs, agents, and vibe coding. Instantly build context for an entire repo, selected files, folders, and GitHub issues to generate structured AI-XML context with real-time token counting.

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

converts webpage content into Markdown format, optimized for LLM training and context

An MCP server that provides tools for exploring large OpenAPI schemas

SQLContext is a tool for generating LLM context from database tables for consumption from IDEs

Rust tool to fetch multiple URLs and save them into Markdown files

macOS developer tool that snapshots your project into one readable file and applies AI-edited changes back. Deterministic, LLM-friendly dump/undump.

Multi-platform CLI to convert codebases into structured .txt context for LLMs📜🤖

Contextr is a lightweight, configurable TypeScript library that gathers and renders your project’s code file context—including metadata and content—into structured outputs for LLM prompts, dynamic agent workflows, and advanced change reporting.

Convert Java Javadocs to Markdown. Purpose-built for AI code assistants.

A PowerShell tool for Windows that recursively scans a directory, captures its structure, and concatenates file contents. Perfect for creating detailed context for Large Language Models (LLMs) from your codebase.

A Python CLI toolkit to generate comprehensive project context for Large Language Models, aiding in debugging and AI-assisted development.

Context and System Fusion in Post-ASR Emotion Recognition with Large Language Models | Submission to GenSEC Task 3 (LLM-Based Post ASR Speech Emotion Recognition Challenge)

Awesome MCP Servers - A curated list of Model Context Protocol servers

Convert academic PDFs with figures into text-only Markdown — for humans and LLMs

A command-line utility that intelligently converts your codebase into a single Markdown file, formatted for providing context to Large Language Models (LLMs)

A privacy-first tool to extract, tokenize, and optimize codebases for LLM context (ChatGPT, Claude, Gemini). Features intelligent filtering, security scanning for secrets, and local processing. Built with Next.js 16 & React 19.rate token counting, file tree navigation, and secret detection.

A powerfull tool that combines the content of all text files from a directory, into one string, to pass as context to an LLM or any other use cases.

Information about CrateDB, for humans and machines.

SnapCtx: the bash-only project radar (no Rust build step).