Vilix AI

What It Does

Vilix AI is a cross-AI memory platform that maintains a unified context layer across multiple AI tools. It enables developers and knowledge workers to start a conversation in Claude on their phone, continue it in Cursor on their laptop, and finish in ChatGPT—without ever re-explaining project details, constraints, or preferences. The platform captures conversations, project state, personal rules, and agent skills in one shared memory store that any connected AI client can retrieve.

Who It's For

Vilix AI targets developers, product builders, and teams who regularly switch between multiple AI coding assistants and chat interfaces. If you plan features in Claude Mobile, implement them in Cursor, debug in GitHub Copilot, and document in ChatGPT, Vilix ensures each tool picks up where the last one left off. The founder built the entire Vilix product in 10 days using Vilix itself, dogfooding across OpenClaw, Hermes, Claude Code, Cursor, Codex, and ChatGPT.

Core Features

• Cross-Tool Memory: One account connects Claude, Codex, Cursor, OpenClaw, Hermes, ChatGPT, Gemini, Grok, Windsurf, Devin, Lovable, Muse, Cline, Continue, GitHub Copilot, and other MCP-compatible clients
• Projects & Tasks: Lightweight project boards auto-inject active, blocked, and completed task state into every connected AI's context
• User Rules: Up to 20 personal instructions (stack preferences, tone, conventions) that apply across all connected tools
• Agent Skills: Reusable how-to procedures that teach connected agents recurring workflows, loaded on demand
• Agent Inbox: Push work to headless or always-on agents from any client, including mobile; agents pick it up on their next memory read
• Semantic & Keyword Search: Query saved conversations by topic, retrieve context from weeks ago, and see source attribution
• Full Data Export: Export or delete all memory data anytime; no training on user data, no selling user information

Typical Workflows

A developer outlines a SaaS pricing page on Claude Mobile during a coffee break. Back at their desk, they open Cursor—Vilix has already loaded the brief, stack choice (Next.js, Stripe), and priority. Later, they ask ChatGPT for marketing copy; it sees the same project context without a single copy-paste. Headless agents running on remote boxes connect via API key and pull the latest task from the Agent Inbox, executing work autonomously.

Integrations & Setup

Vilix uses the Model Context Protocol (MCP) for native integration. Connect each AI client via OAuth or API key, then enable auto-memory instructions. The platform works on desktop, mobile (same account, same memory), browser, and cloud tools. Headless agents authenticate with a Bearer token and the hosted MCP endpoint at https://api.vilix.ai/mcp.

What Sets It Apart

Unlike ChatGPT Memory (account-scoped) or Claude Projects (per-project silos), Vilix provides one memory account shared across separately connected clients. It saves full conversation context—not just extracted facts—with source metadata, so retrieval stays grounded and traceable. The Agent Inbox and Skills features turn Vilix into more than a chat-history archive: it becomes a shared control plane for autonomous agents and coding assistants alike. Part of Microsoft for Startups, Vilix is built by an indie founder who shipped the product itself using the same cross-AI workflow customers adopt.