Persistent memory for AI, delivered over MCP. One config entry. Every session, every surface, every tool — your context travels with you.
You've explained your architecture to Claude fourteen times. You re-described your tech stack to Copilot this morning. You told Telegram which model you prefer three times this week.
Your tools are brilliant in isolation. But they forget the moment the session ends. Context is trapped — per-surface, per-session, per-conversation. That's the default state of AI tooling in 2026.
We're the exception.
What Next implements the Model Context Protocol — the open standard for AI tool integrations. Drop in a single config entry. Every MCP-compatible surface shares the same persistent memory, automatically.
SQLite caches locally on your machine. Postgres on Railway handles cloud. Every write goes through both. Works offline — catches up when you're back.
Memory is encrypted per-user at rest. The cloud stores ciphertext. Your key never leaves your machine. We cannot read your data — structurally.
Built on MCP. No proprietary plugins, no locked-in extensions. Any MCP-compatible surface you add in future gets full memory — no extra config needed.
If the surface supports MCP, What Next is already compatible. No additional setup required.
Add What Next to your MCP config. No browser extensions, no per-surface accounts, no OAuth flows.
We're admitting a first wave of developers. Not a waitlist of 50,000 that goes nowhere — a real group we can actually onboard, support, and learn from.
Beta access gets you an API key, full cloud sync, and a direct line to us while the product is still being shaped.
What Next does one thing well: it remembers. It's rough at the edges. If you're comfortable with that tradeoff, we want to work with you.