Supermemory vs 3ngram: Memory API vs. Executive Assistant Layer
Supermemory is an impressive early-stage memory API backed by Jeff Dean and other top angel investors. Like Mem0, it's developer infrastructure, an API for adding memory to AI apps. 3ngram is built for the people using AI, not building AI apps. It adds structured memory with accountability, reusable agent workflows, and document indexing directly inside Claude and ChatGPT.
At a Glance
| Supermemory | 3ngram | |
|---|---|---|
| What it is | Universal memory API for AI apps | Executive assistant layer for AI |
| Primary audience | Developers building AI products | Professionals using AI daily |
| Memory model | Flat semantic search (vector embeddings) | Structured: decisions, commitments, blockers, preferences |
| Follow-through | None | Yes: overdue tracking, stale commitments, blockers |
| Reusable workflows | No | Yes, stored prompts as agent workflows |
| Document indexing | Yes (docs, URLs, chat histories) | Yes (GitHub, files) |
| MCP support | Yes | Yes (full integration) |
| Pricing | Free to $399/mo | $19/mo |
| Funding | $2.6M seed | Bootstrapped |
| Best for | Developers adding memory to AI products | Professionals who want AI accountability |
What Is Supermemory?
Supermemory is a Y Combinator-backed startup ($2.6M seed) building a universal memory API. Founded by Dhravya Shah, a 19-year-old ex-Cloudflare intern, it's backed by Jeff Dean (Google AI), Logan Kilpatrick (DeepMind), and execs from OpenAI and Meta. The product ingests raw data (documents, chat histories, user profiles), transforms them into vector embeddings, and makes them retrievable through low-latency semantic search. It also offers a browser extension and MCP server. Supermemory is fast and well-engineered, but it's fundamentally a developer API. It provides the plumbing for memory; you still need to build the experience on top.
What Is 3ngram?
3ngram takes a fundamentally different approach. Instead of capturing everything and hoping the AI finds what's relevant, it classifies memories into semantic types (decisions, commitments, blockers, preferences, patterns, context), each with its own lifecycle and behavior. A commitment has a due date and gets surfaced when overdue. A blocker gets flagged when it's relevant to what you're working on. A decision is retrievable when you need to remember why you made a choice. This isn't just memory; it's structured intelligence. On top of that, 3ngram adds reusable agent workflows (stored prompts that run as multi-step agents), document indexing, a web dashboard, and cloud sync across all your devices and MCP clients.
Key Differences
1. API vs. Product
Supermemory is infrastructure. You integrate it into applications via their API or SDK. The developer experience is polished, but the end-user experience requires you to build something. 3ngram is a product. Connect the MCP server, and Claude or ChatGPT immediately gains structured memory, accountability, and workflows. Nothing to build.
2. Flat Search vs. Structured Intelligence
Supermemory stores memories as vector embeddings and retrieves them via semantic search. All memories are equal: a preference and a commitment look the same to the system. 3ngram classifies and manages memories by type. A commitment with a due date gets surfaced when it's overdue. A blocker gets flagged. A decision is retrievable when you need to justify a past choice. This structure is what turns memory into intelligence.
3. Memory-Only vs. Memory + Workflows
Supermemory stores and retrieves. 3ngram also stores parameterized agent workflows as prompts. You can run a full competitive research workflow, an email draft workflow, or any multi-step process directly from chat. These workflows read and write to structured memory, building context over time.
When to Choose Supermemory
Choose Supermemory if you're a developer building an AI product and need a fast, well-documented memory API with good investor backing and an active open-source community.
When to Choose 3ngram
Choose 3ngram if you're a professional who uses AI daily and wants structured memory, accountability, and reusable workflows without writing any code. You want a smarter AI today, not a building block for tomorrow.
Ready to Make Your AI Follow Through?
Don't build a memory system, use one that's already built for you. 3ngram gives Claude and ChatGPT structured memory, accountability, and reusable agent workflows, right out of the box.
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