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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.
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.
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)
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.
AI Context Kit provides a structured, instruction-based framework for context-aware AI collaboration across LLM providers. It includes an authoritative spec (v1.2), canonical templates, and prompt workflows for creating and validating user context and project instruction files.
A command-line utility that intelligently converts your codebase into a single Markdown file, formatted for providing context to Large Language Models (LLMs)
Rust CLI that merges files/dirs into one XML or text output for fast LLM context or general aggregation, with filters, optional tree, and clipboard support.