VCPToolBox vs mex
VCPToolBox: VCP (Variable & Command Protocol) sits between model APIs and front-end apps and gives an AI a persistent timeline, associative long-term memory and environment awareness across every client. It bundles a distributed plugin engine, cross-node tools and multi-agent collaboration, and runs on Node.js or Docker.; mex: mex provides persistent, navigable project memory for AI coding agents, allowing every session to start with the right context instead of a cold prompt. It structures agent memory through a markdown scaffold, offers CLI tools for drift detection against the real codebase, and synchronizes context to keep agents aligned and reduce token usage.
TL;DR
Build an AI companion that remembers conversations across devices
- Your AGENTS.md or CLAUDE.md has grown too big and you want a small anchor plus routed context files.
- You want memory as plain markdown in the repo, reviewable in pull requests and diffable.
- You want drift checks that run without AI tokens and flag missing paths, stale files and broken scripts.
- You want recall across unrelated projects or conversations; mex lives inside one repository.
- You have a small project: another set of files to maintain may cost more than it saves.
- You expect the AST code-graph feature today: the README marks it as an unreleased preview.
Side-by-Side Comparison
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