Moving to 3ngram
takes five minutes.
Whether you are managing CLAUDE.md files, using Mem0, relying on built-in AI memory, or starting from scratch, 3ngram connects via MCP and starts working immediately. No data migration needed. Your memories accumulate as you work.
Where are you coming from?
Pick the path that matches your current setup. Each one takes about five minutes.
Replace static files with structured memory
The problem
CLAUDE.md works for a single repo in a single tool. But it does not sync across tools, track deadlines, or tell you what fell through the cracks. Scale to ten repos and you are maintaining ten files by hand.
What 3ngram adds
Structured memory types (decisions, commitments, blockers, preferences), cross-tool sync via MCP, deadline tracking, proactive nudges. Your CLAUDE.md can stay alongside 3ngram for repo-specific instructions.
Migration path
Sign up, add the MCP server config to Claude Code or your editor. Memories accumulate as you work. No import step needed.
From flat memory API to structured follow-through
The problem
Mem0 is a production-grade memory API with strong retrieval. But it stores flat observations. A remembered commitment and a remembered preference are indistinguishable. There are no deadlines, no nudges, no lifecycle.
What 3ngram adds
Typed memory (decisions, commitments, blockers), lifecycle semantics (created, active, resolved, stale), reusable agent workflows (briefing, debrief, project context), and proactive accountability.
Migration path
No SDK integration needed. 3ngram is MCP-native, so it works with any MCP client out of the box. Connect the server, and your AI tools have structured memory immediately.
Break free from single-provider lock-in
The problem
Claude, ChatGPT, and Gemini each have built-in memory. But it is locked to one provider, stores flat observations, and has no structured types, deadlines, or cross-tool continuity.
What 3ngram adds
One memory layer that works across all your AI tools. Structured types so your AI knows the difference between a decision and a preference. Deadlines and nudges so commitments do not silently expire.
Migration path
Add the MCP config to Claude Desktop, ChatGPT, Cursor, or any MCP-compatible client. Your existing native memory keeps working. 3ngram layers on top.
AI that follows through from day one
The problem
Without a memory layer, every conversation starts from zero. Your AI forgets what you decided last week, what you committed to ship by Friday, and what blocked you yesterday.
What 3ngram adds
Persistent, structured memory across every AI tool you use. Your AI starts each session knowing your active commitments, recent decisions, and open blockers. Proactive nudges surface what needs attention.
Migration path
Sign up, connect one AI tool via MCP, and start working. Run a briefing prompt to see what 3ngram surfaces. Memories build naturally as you use your tools.
Three steps. Five minutes.
Sign up
Create an account at app.3ngram.ai. Free tier included.
Connect MCP
Add the 3ngram MCP server URL to Claude Code, Claude Desktop, ChatGPT, Cursor, or any MCP client.
Work normally
Your AI tools now have structured memory. Memories accumulate as you work. No workflow changes needed.
Ready to switch?
Free tier included. No credit card required. Connect your first AI tool in under five minutes.