Supermemory vs Unabyss: Pricing, Features and Who It's For
Supermemory is memory you build into a product; Unabyss is context about you that your AI tools read.
Supermemory and Unabyss both promise AI that remembers, and in 2026 they overlap more than they used to: both run MCP servers that ChatGPT and Claude can connect to. The real difference is who they're built for: Supermemory is memory you build into a product, and Unabyss is context about you that the AI tools you already use can read.
What is Supermemory?
Supermemory is a memory engine for developers and teams building AI agents. Its model, learner-1, extracts context from what you send it, stores it in a vector-graph database and injects the relevant parts back into the model's context (Supermemory).
It reaches people through several doors:
- API and SDKs for adding per-user memory to your own app.
- An MCP server at
mcp.supermemory.ai, with OAuth sign-in and shared spaces for a team, that works with ChatGPT, Claude and other MCP clients (Supermemory). - Plugins for Claude Code, Cursor, Codex, OpenCode, OpenClaw and Hermes.
- A browser extension that suggests saved memories as you type in Claude and Gemini, added in July 2026 (Supermemory changelog).
- Connectors for Google Drive, Gmail, Notion, OneDrive and GitHub, plus a web crawler and Granola, which developers set up through the API and their users authorize (Supermemory docs).
Supermemory says more than 100,000 organizations use it and that it processes over a trillion tokens a month (Supermemory, 2026). It also offers self-hosting, including air-gapped setups, and its Scale plan adds SOC 2 and a HIPAA BAA.
What is Unabyss?
Unabyss is a personal context layer: shared memory for all your AI tools, built from the apps where your context already lives. You connect at least two sources, such as Gmail, Google Calendar, Notion, Slack, GitHub or Linear, and Unabyss extracts a structured picture of you: your role, current projects, the people you work with, how you like things done.
It keeps that picture current as those apps change and serves it over MCP to Claude, ChatGPT, Cursor, Claude Code, Codex and other MCP clients. You decide what each tool can see, per app and per file, and every request is logged. Tools without MCP can take one of its Markdown exports. There's no code to write: the people using it are founders, engineers, marketers and operators who open Claude or Cursor many times a day.
How do Supermemory and Unabyss compare?
Supermemory is a building block you integrate; Unabyss is a finished product you connect. Prices were checked on each pricing page on October 23, 2026.
| Supermemory | Unabyss | |
|---|---|---|
| Built for | Developers and teams building apps and agents | Individuals using several AI tools |
| Setup | API key, SDK, MCP server or plugin | Connect your apps, then add Unabyss as an MCP connection |
| Memory comes from | Content you or your app send it, plus connectors | Your work apps, updated automatically |
| Works with | Any MCP client, ChatGPT, Claude, coding-agent plugins, your own app | Claude, ChatGPT, Cursor, Claude Code, Codex and other MCP clients; Markdown exports |
| Control | Spaces and tags; self-hosting and compliance options | Per-app and per-file permissions; every request logged |
| Price | Free with 19/mo; Max 399/mo; Enterprise custom | 7-day free trial; Pro 89/mo; Team $49/seat/mo |
The pricing models differ as much as the products. Every Supermemory plan includes a monthly balance of credits, and usage draws it down at one rate card: 5 per million search queries (Supermemory). That fits an app whose usage grows with its users. Unabyss charges a flat monthly price per person.
Where is Supermemory the better choice?
Supermemory is the better choice whenever memory is a feature you ship rather than a tool you use.
- You're building an AI product whose users each need their own memory: an assistant, a support agent, a tool that learns from past sessions.
- You need infrastructure-grade options: self-hosting, air-gapped deployment, a HIPAA BAA, or published benchmarks. Supermemory reports state-of-the-art results on LongMemEval, LoCoMo and ConvoMem.
- You want a memory store your coding agents write to, through its plugins for Claude Code, Cursor and Codex.
- Your team needs a shared memory space that several people's assistants read and write.
Unabyss is not an SDK, and it isn't meant to sit inside someone else's app.
Where is Unabyss the better choice?
Unabyss is the better choice when you're the user and the problem is that every AI tool you open starts out not knowing you.
- Your context already lives in your apps. Unabyss reads your inbox, calendar, docs and repos, so you don't have to tell any tool who you are or save memories by hand.
- You switch between Claude, ChatGPT and Cursor and want them working from the same picture of you, kept current without upkeep.
- You don't want to write or run code, track usage credits or manage an API key.
The payoff is measurable. In an August 2026 Unabyss benchmark, adding Unabyss to an assistant that already had the same tools connected cut cost by 36%, time by 38% and follow-up prompts by 60% (What Structured AI Context Is Worth).
Can you use Supermemory and Unabyss together?
Yes, and they don't compete when you do. A developer can build Supermemory into the product they're shipping and use Unabyss to make their own Claude, Cursor and ChatGPT sessions start with context. One is memory for your users; the other is context for you.
The mistake to avoid is a category one: picking a memory API to fix your own daily workflow, or a personal context layer to power an app. Why that distinction decides whether an agent works is covered in Agent Memory vs. Context, and the rest of the field, from MemoryPlugin to Mem0, is compared in Best AI Memory Tools Across ChatGPT, Claude & Cursor.
If you're the one using the AI tools, see how Unabyss works and connect your first two apps.
