Compare · Akhrots vs Supermemory
Akhrots vs Supermemory.
Supermemory is a developer-focused universal memory API and “second brain” for saving content and powering AI apps. Akhrots is a complete end-user memory OS — with an API of its own, but also a brain dashboard, graph, node workflows, conflict resolution and a companion. One is infrastructure to build on; the other is a product to use.
Feature comparison.
| Capability | Akhrots | Supermemory |
|---|---|---|
| Memory API & SDK for developers | ~ | ✓ |
| Save-anything browser extension | ✓ | ✓ |
| Durable memory across AI models | ✓ | ~ |
| Portable context format (.aal) | ✓ | — |
| Conflict detection & resolution | ✓ | — |
| Visual knowledge graph | ✓ | ~ |
| Multi-agent node workflows | ✓ | — |
| AI companion (NUT) | ✓ | — |
| Complete end-user app | ✓ | ~ |
✓ built-in · ~ partial · — not offered. An honest comparison as of 2026; Supermemory is a capable tool in its own category (memory API).
What Supermemory does best.
- A clean, developer-first memory API to build on
- Lightweight infrastructure for AI apps
- Simple "save anything" capture
What Akhrots does best.
- A complete OS — brain, graph, nodes, companion — not just an API
- Conflict detection & resolution
- Portable cross-model context via .aal
- An end-user product, with an API & SDK as well
When to choose which.
Choose Supermemory if you’re a developer who wants a memory API to power your own AI app. Choose Akhrots if you want a complete memory OS to use day to day — it also exposes an API & SDK when you want to build.
See everything Akhrots doesQuestions, answered.
Is Akhrots a Supermemory alternative?
For end users, yes. Supermemory is primarily a memory API for developers; Akhrots is a full product — brain, graph, node workflows, conflict resolution and a companion — that also offers an API & SDK. If you want a backend to build on, Supermemory fits; if you want a memory OS to use, Akhrots does.
Does Akhrots have an API like Supermemory?
Yes — Akhrots exposes an API & SDK (Python, TypeScript, REST, GraphQL) alongside the end-user app, so you can build on the same memory layer.