Show HN: World Model MCP v0.10.0 – cross-runtime memory across 7 coding agents
World Model MCP v0.10.0 is a cross-runtime memory system designed to work across seven different coding agents, enabling shared context and persistent memory between them.
Background
- The core concept is a "World Model" for AI coding agents: a persistent memory layer that lets different AI coding assistants (like Claude, Cursor, Windsurf, etc.) share context and knowledge across sessions and tools, rather than each starting from scratch each time.
- MCP stands for "Model Context Protocol," an open standard developed by Anthropic that defines how AI applications can connect to external tools and data sources — think of it as a universal plug-in system for LLMs.
- This project specifically targets the problem of "context fragmentation" in AI-assisted coding: without shared memory, each AI agent you use has no idea what another agent did or learned, leading to repeated work, inconsistent decisions, and lost state.
- v0.10.0 supports 7 coding agents/tools (Claude, Cursor, Windsurf, Continue.dev, Cline, GitHub Copilot, and Aider), meaning any of them can read/write to the same evolving knowledge base about your codebase.