🧠🔗 From idea to production in just few lines: Graph-Based Programmable Neuro-Symbolic LM Framework - a production-first LM framework built with decade old Deep Learning best practices

🚀 Browser-based tool for creating reusable sets of context for LLM. Improve response quality & time and reduce token usage. Privacy-first, works with any LLM (Claude, GPT-4, Gemini). Stop re-explaining your codebase to AI (and your team members).

Give Copilot a memory! MemoriPilot provides seamless, persistent context management that makes Copilot aware of your project decisions, progress, and architectural patterns - dramatically improving the relevance and quality of AI assistance.

A lightweight, conversational AI assistant powered by a reasoning agent. This project provides a simple framework for building and running your own AI assistant from the command line.

A comprehensive Model Context Protocol (MCP) server designed to manage AI agent handoffs with structured documentation, progress tracking, and seamless task transitions between agents. Supports HTTP streaming.

A curated list of tools, frameworks, and platforms to build powerful LLM applications through effective context engineering.

Yudai is a context-engineered coding agent that connects to your GitHub repo and turns curated chat summaries, file-dependency insights, and analytics into smart context cards. One click spins those cards into complexity-scored issues, auto-tested code patches, and a labeled pull request with an inline diff viewer so you can merge with confidence.

A small application to create a map of any repository for use by LLMs and Agents.