Why build on AI labs, not against them?

Build your own chat interface. Compete with labs on UX, models, speed, and features.

• Constantly chasing model updates
• Users must switch apps
• Feature parity is impossible
• Locked to one provider

A race you cannot win.

Plug into every AI tool as a service. Let labs handle the conversation, you handle the memory.

• Works with any MCP-compatible client
• New model = automatic upgrade
• Focus on what labs do not build
• Provider-agnostic by design

This is the 3ngram approach.

Cross-provider memory

One memory layer across Claude, ChatGPT, Cursor, Windsurf, and any MCP client. Remember something in Claude, recall it in ChatGPT. Your knowledge is not locked to a single provider.

Proactive accountability

Native AI memory stores facts and preferences. 3ngram adds commitments with deadlines, blocker tracking, overdue alerts, and digests that surface what needs attention. Your AI follows through.

Best of both worlds

You get the latest reasoning models, the best UI, real-time web access, and vision capabilities from the labs. Plus persistent structured memory, accountability, and document search from 3ngram.

MCP as the bridge

Model Context Protocol is the open standard that makes this work. 37 tools exposed over a single connection. No wrappers, no SDKs, no API keys per client. Connect once, use everywhere.

You own your data

You decide what your AI knows and what it forgets. Move your memory across providers without friction. No vendor lock-in, no opaque training pipelines. Your knowledge stays yours.