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The best Supermemory alternatives

For people who want memory they can read, not just recall.

Short answer

The best Supermemory alternative depends on which half you are replacing. As a developer memory API, mem0 and Zep are the closest matches. As a second brain your AI reads, Hjarni is the stronger pick: plain Markdown you write and own, hosted in the EU, with a built-in MCP server for ChatGPT and Claude.

  1. 01

    Hjarni Our pick

    A Markdown knowledge base you write in and own, hosted in the EU. ChatGPT, Claude, and any MCP client read and write the same notes.

    MCP: built in and hosted (OAuth). Authorship over capture: what your AI reads is what you wrote.

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    mem0

    The open-source memory layer for agents, with an Apache-2.0 core you can self-host.

    MCP: hosted cloud, or self-hosted OpenMemory. An LLM extraction stage decides what becomes a memory.

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    Zep

    Enterprise agent memory on a temporal knowledge graph, built for production scale.

    MCP: Graphiti MCP server (read and write). Needs the engineering to run and tune it.

  4. 04

    Khoj

    An open-source, self-hosted AI assistant that indexes your files and connected services.

    MCP: none; Khoj bundles its own AI. Khoj Cloud was deprecated, so you run the server yourself.

Which Supermemory are you replacing?

Supermemory is two products in one. For developers it is a memory API and SDK. For everyone else it is a consumer second brain with a browser extension that captures context as you go. That makes "alternative" a fork in the road. If you used the API, the real alternatives are other memory backends: mem0 and Zep are the closest, both self-hostable. If you used it as a second brain, the alternative is a knowledge base you write in.

Captured for you vs written by you

Supermemory leans on capture: the extension and the API accumulate context automatically, and you read back what the engine kept. Hjarni asks for a deliberate act. You write the note, in plain Markdown, and that exact text is what ChatGPT and Claude read over the built-in MCP server. The trade is effort for control, and it pays off the day you need to know why your AI believes something: the answer is a note you can open, with a history of every edit and one-click revert.

Supermemory leans on capture. Hjarni leans on authorship.

Recall you can verify

For a memory product, the worst failure is a write that succeeds but never comes back. Supermemory users have reported documents visible in the app's own UI that returned nothing through API search, the MCP recall tool, or hybrid search. That risk lives in any recall pipeline you cannot see into. Hjarni's answer is architectural: notes are plain Markdown you can open and list, and one search index serves the UI, the REST API, and the MCP search tool. What you can see is what you can search.

When to stay on Supermemory

If automatic capture is the point for you, or you want the consumer app and the developer API in one product, Supermemory is a strong pick and the alternatives above will feel like a step sideways. It ships an official open-source MCP server, so it is not a walled garden. Check their current pricing across the developer and consumer tracks, and note the hosting: Supermemory is US-based, while Hjarni runs in the EU (Germany).

Stay on Supermemory if

  • You want context captured automatically as you browse and chat
  • You want one product that is both a memory API and a personal app
  • US hosting and a closed-source core are fine for you

Switch to Hjarni if

  • You want to author your AI's memory, not audit what an engine kept
  • You want Markdown you own, with export anytime
  • You want EU hosting and per-edit history with one-click revert

Common questions

Common questions

What is the best Supermemory alternative?

For the developer memory API, mem0 and Zep are the closest matches, both self-hostable. For the second brain side, Hjarni is the strongest pick: a Markdown knowledge base you write and own, hosted in the EU, with a built-in MCP server that ChatGPT and Claude read and write.

Supermemory or mem0?

Both are developer memory layers. mem0 has an open-source Apache-2.0 core you can self-host. Supermemory adds a consumer app and browser extension on top of its API, with a closed-source hosted core. If what you actually want is notes you author rather than memory an engine captures, Hjarni is the third option.

Is Supermemory open source?

Partly. Its MCP server and editor plugins are open-source, but the core hosted platform is closed-source and US-based. Hjarni is closed-source too, and offsets that with plain Markdown export of your whole knowledge base anytime.

Is there an EU-hosted Supermemory alternative?

Hjarni is hosted in the EU (Germany), stores notes as plain Markdown you can export anytime, and does not train AI on your data. Supermemory is US-based.

Why leave Supermemory?

The common reasons: you want to author your AI's memory instead of auditing what an engine captured, you want recall you can verify (users have reported documents visible in Supermemory's UI that no search path returned), or you need EU hosting. If automatic capture is the point for you, staying is reasonable.

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