Production-ready modular Claude Code framework with 30+ commands, token optimization, and MCP server integration. Achieves 2-10x productivity gains through systematic command organization and hierarchical configuration.

An MCP server that executes Python code in isolated rootless containers with optional MCP server proxying. Implementation of Anthropic's and Cloudflare's ideas for reducing MCP tool definitions context bloat.

Multi-agent orchestration for Claude Code with 15-30% token optimization, self-improving agents, and automatic verification

TOON — Laravel AI package for compact, human-readable, token-efficient data format with JSON ⇄ TOON conversion for ChatGPT, OpenAI, and other LLM prompts.

Laravel integration for TOON format: encode/decode JSON data into a token-optimized notation for LLMs.

💰 Save money on AI API costs! 76% token reduction, Auto-Fix token limits, Universal AI compatibility. Cline • Copilot • Claude • Cursor

Intelligent token optimization for Claude Code - achieving 95%+ token reduction through caching, compression, and smart tool intelligence

Token-efficient log file system - reduce AI coding assistant context bloat by 93%

Context-optimized MCP server for web scraping. Reduces LLM token usage by 70-90% through server-side CSS filtering and HTML-to-markdown conversion.

AI Native Semantic Language

Token-efficient Claude Code workspace with parallel agents and persistent memory. Research → Plan → Implement → Validate workflow.

Reduce LLM token costs by 30-60% with TONL format. TypeScript library & CLI for bidirectional JSON/YAML ↔ TONL conversion with real GPT-5 tokenizer.

A lightweight, fast TOON (Token-Oriented Object Notation) library for PHP. Optimized for LLM contexts. PHP 7.0-8.0 [legacy] and 8.1 and up [modern] support.

Biological code organization system with 1,029+ production-ready snippets - 95% token reduction for Claude/GPT with AI-powered discovery & offline packs

🚀 专为大模型优化的文本预处理工具 | AI Text Optimizer for reducing LLM token consumption

pymdt2json is a Python CLI and library for converting markdown tables into structured JSON: ideal for data pipelines, LLM preprocessing, and web/API integration.

ASAN: A conceptual architecture for a self-creating (autopoietic), energy-efficient, and governable multi-agent AI system.

Object Record Table - a CSV like structured data format with native object and array support.

Smart Context Optimization for LLMs - Reduce tokens by 66%, save 40% on API costs. Intelligent ranking and selection of relevant context using embeddings, keywords, and semantic analysis.