ANKIT AGARWAL

Building LLM agents with 100+ tools? Context bloat kills performance and costs. Agent-Corex intelligently selects only the relevant tools your model actually needs. ⚡50-75% fewer tokens → massive cost savings 🚀 3-5x faster inference → better user experience 🎯 95%+ accurate tool selection → production-ready Hybrid Ranking Engine: • Keyword matching (<1ms) + semantic embeddings (50-100ms) • Works with any MCP server Use cases: autonomous agents, multi-step reasoning, cost optimization.

Contribute to ankitpro/cursor-rules-generator development by creating an account on GitHub. Instead of manually writing rules for AI coding assistants, this tool analyzes your repository and generates structured rules. Perfect for: • AI coding workflows • Large repositories with complex context Key features: • Automatic rule generation • Open-source and extensible Install: npm install cursor-rules-generator-mcp Try it with your repo and see how it improves AI-assisted coding.