EGC gives every AI coding agent the same brain. Shared memory, skills, and live context across Cursor, Claude Code, Copilot, Aider, and 20+ AI coding tools with zero configuration. Every tab, terminal, and AI stays automatically synchronized. One brain. Everywhere.

Desktop workspace for managing agent trees, shared context, and live multi-agent coding sessions.

The open specification for the shared context layer of AI-native teams

Git-native ADRs as shared, enforceable context for AI coding agents and humans.

Multiple agents, one source of truth: a Planner/Coder/Reviewer demo of how a shared Statewave subject prevents parallel-agent context collisions.

Lightweight MCP server for sharing project context between AI agents across machines

MCP server for shared context caching — AI agents share computed results to reduce token cost and latency

Personal fork of LuxenAI/agent-tree with my implementation work on the Luxen desktop workspace for multi-agent sessions.

MCP server that acts as a shared memory hub across multiple LLMs (Claude, Gemini, Copilot). Any agent entering a project immediately understands its architecture, patterns, and decisions — and can pick up exactly where the previous LLM left off.

This component is an rpc accessible service to a shared context inside of a distributed system

Generic AsyncLocalStorage wrapper for context management

Local-first coordination standard and reference implementation for AI workspaces