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

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

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.

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

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)

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.

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

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

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

code generation context toolkit

For when your LLM says 'context unclear,' and you say 'bet,' then serve it a piping hot plate of code clarity.

Extract & save YouTube data

A Python tool for combining text documents into consolidated files for Large Language Model processing. Creates organized document stacks with configurable sorting and formatting options.

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

Information about CrateDB, for humans and machines.

An LLM-generated alias to explore contextually guided prompting strategies

Source code for chunking code in multiple different languages

A Python tool designed to sample real data from Firestore collections, empowering developers to enhance LLM (Large Language Model) application development and testing. By leveraging actual data structures, this tool helps you create more effective prompts and test cases, taking full advantage of modern LLMs' large context windows.