Bounded conventions map and local-pattern discovery for AI coding agents. Local-first MCP server with AST-backed hybrid search.
AI-optimized codebase context generator
Codebase context compression for AI coding agents
Deterministic codebase context for AI coding agents
AI-optimized codebase context generator
Universal codebase context engine for AI coding agents
gps CLI — codebase context for coding agents.
AI-Assisted Software Engineering (AASWE) - Rich codebase context for IDE LLMs
MCP server for AI coding tools and agents. Provides semantic codebase context for Cursor, Claude Code, Codex, Copilot, Antigravity, and CLI workflows without requiring full file uploads.
MCP server exposing Auggie CLI for codebase context retrieval
Hybrid Semantic-Structural Context Engine. Optimizes codebase context retrieval for AI coding agents using PageRank and structural parsing.
MCP server exposing Auggie CLI for codebase context retrieval
A CLI tool that generates codebase context for LLMs
Create reusable Claude Code sessions with pre-loaded codebase context
CLI tool for CodeRAG — init, index, search, serve, and status commands for codebase context engine
Engram CLI — persistent codebase context for AI coding agents
Core library for CodeRAG — intelligent codebase context engine with AST parsing, embeddings, and hybrid search
Zero-config codebase context for AI agents. One command generates a ~250-token navigation map and auto-configures Claude Code, Cursor, and Aider.
CLI for PromptEnhance - enhance developer prompts with codebase context
High-performance codebase context generator and AI operations toolkit optimized for Bun.
Enrich coding agent prompts with codebase context using a local LLM
Agent-first codebase context protocol - AI agents build and share institutional knowledge about codebases
CLI tool for providing external codebase context to agents
MCP server for Engram — serves codebase context to AI agents
AppyDave Tools is a consolidated productivity toolkit for YouTube content creation workflow. Includes single-purpose utilities for AI context gathering, subtitle processing, YouTube management, and more. All tools in one codebase for easier maintenance, each operates independently.
Claude Swarm enables you to run multiple Claude Code instances that communicate with each other via MCP (Model Context Protocol). Create AI development teams where each instance has specialized roles, tools, and directory contexts. Define your swarm topology in simple YAML and let Claude instances collaborate across codebases. Perfect for complex projects requiring specialized AI agents for frontend, backend, testing, DevOps, or research tasks.
Gitingest is a powerful command-line tool that fetches files from GitHub repositories and generates consolidated text prompts for AI analysis. It features smart file filtering, concurrent processing, custom exclusion patterns, authentication support, and automatic rate limit handling. Perfect for creating context-rich prompts from codebases for AI assistants, documentation generation, or codebase analysis.
Interactive rake tasks to generate context files for AI coding assistants (Claude, Cursor, Windsurf, Codex, llm.txt). Uses RubyLLM to analyze your codebase and create platform-specific context that helps AI understand your project.
Chiridion generates documentation optimized for AI agents and LLMs working with Ruby codebases. It extracts documentation from YARD comments, merges RBS type signatures, and produces structured markdown suitable for context injection. Features: - YARD-based documentation extraction - RBS type signature integration (RBS is authoritative) - RSpec example extraction - Obsidian-compatible wikilinks for cross-references - Drift detection for CI/CD pipelines - toys/dx CLI task definitions
=== What is GptHelpr? It is sometime necessary to provide context and explanations for your code. Instead of manually copying and formatting code snippets, GPT-Helpr automates the process with an interactive cli, generating a well-structured Markdown output, which can be copied to your clipboard or printed to file. === Example Usage # note lmk is an alias for gpt_helpr -i -ln $ lmk == 🏴☠️ GptHelpr 0.2.3 == Helping to dig your codebase and cook GPT-XX instructions [current directory /Users/etozzato/WorkSpace/_AINZ/pizzatarians.com] File Path (optional :start:end): TAB -> favicon.ico hey.md js random-acts-of-pizza.md _config.yml _site draft fonts images kneading-baking-academy.md _exe academy favicon.gif hands-in-dough.md index.md parties-and-events.md File Path (optional :start:end): hey.md 1:22 Instructions: can you improve this text? Do you see any issues with the template? File Path (optional :start:end): # this is the generated output (also copied to the clipboard) ==== file source `hey.md 1:22` 1: --- 2: title: Hey, hello! 3: layout: default 4: --- 5: 6: # {{ page.title }} 7: ---- 8: 9: <div class="row"> 10: <div class="col-md-12"> 11: <p class='justin'> 12: Nice to meet you, I am *Mek*! 13: </p> 14: <p class='listo'> 15: I am a self-proclaimed pizza guru and I am here to teach & learn. Originally from Venice, Italy you can find me in San Diego, CA. 16: </p> 17: <p class='listo'> 18: In my spare time, I write code @ PlayStation! 19: </p> 20: </div> 21: </div> 22: can you improve this text? Do you see any issues with the template? ==== end of `hey.md`
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