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The best mem0 alternatives

For developers deciding who should write their AI's memory.

Short answer

The best mem0 alternative depends on who writes the memory. If your agent should keep writing its own, Supermemory and Zep are the closest matches. If what you actually want is notes you write that any assistant reads, Hjarni is the better fit: plain Markdown with a built-in MCP server, and no extraction pipeline deciding what gets kept.

  1. 01

    Hjarni Our pick

    A knowledge base a human writes in, not a memory backend. Plain Markdown notes that ChatGPT, Claude, Cursor, and Codex read and write.

    MCP: built in and hosted (OAuth). No extraction stage: the note you write is exactly what gets stored.

  2. 02

    Supermemory

    A developer memory API and a consumer second brain in one, leaning toward automatic capture.

    MCP: official, open-source (OAuth or API key). The hosted core is closed-source and US-based.

  3. 03

    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

    MemCP

    A self-hosted memory graph for coding agents.

    MCP: MCP server (local SSE or stdio). A developer tool: a temporal knowledge graph, no human notes UI.

Why look past mem0

mem0 is infrastructure. An SDK and API extract facts from your agent's conversations, store them, and retrieve them next session. When you are shipping an application that needs memory, that is the right shape. The friction shows up elsewhere. The LLM extraction stage sits between what was said and what gets saved, and it decides what your words meant before storing them. In a public 32-day production audit, a team found roughly 98 percent of about 10,000 stored entries were low-signal, with only a few dozen worth keeping. And if you are not building an app at all, you are running a memory backend just to give your assistant context.

So the first question is not "which memory layer." It is "who is the author here." Your code, or you.

If the author is you, you want a knowledge base

Hjarni is built for the second answer. You write notes in plain Markdown, organized in folders with tags and wiki-links. The MCP server is built in and hosted, so ChatGPT, Claude, and any other MCP client read and write the same notes with nothing to deploy. There is no extraction pipeline: what you wrote is what gets stored, and every AI edit is a version you can read and revert. You can import existing Markdown to start, and export everything back out whenever you want.

mem0 remembers what your agents extracted. Hjarni remembers what you decided to write down.

What to look for

Weigh four things. Who writes the content: your code or a person. What is actually stored: the text as written, or whatever an extractor kept. Where the MCP server runs: hosted with OAuth so remote clients like ChatGPT reach it, or local to one machine. And whether you need to self-host. The agent platforms win on programmatic writes and self-hosting. A hosted knowledge base wins on authorship, readable storage, and reach.

When to stay on mem0

If you are building an agent or application and memory is a feature of software you ship, stay. The core is open-source under Apache-2.0, OpenMemory gives you a self-hosted MCP server, and the managed cloud has a free tier. Plenty of developers run mem0 for their product's memory and keep their own working notes in a knowledge base their assistants read.

Stay on mem0 if

  • ›You are shipping an app or agent that needs a memory backend
  • ›You want open-source you can self-host
  • ›Your code is the author and retrieval is programmatic

Switch to Hjarni if

  • ›You want notes you write that ChatGPT and Claude read anywhere
  • ›You want stored text you can open, diff, and revert
  • ›You want zero infrastructure: no SDK, no vector store, no pipeline
Give your AI a memory

Common questions

Common questions

What is the best mem0 alternative?

It depends on who writes the memory. For agent-written memory, Supermemory and Zep are the closest matches, and MemCP if you want a self-hosted graph for coding agents. If you want notes you write that any assistant reads, Hjarni is the better fit: plain Markdown with a built-in MCP server and no extraction pipeline.

Is mem0 open source?

Yes. mem0's core is Apache-2.0 and you can self-host it, including OpenMemory, its self-hosted MCP server. There is also a managed cloud with a free tier. Hjarni is hosted SaaS with full Markdown export instead.

What is the difference between mem0 and a knowledge base like Hjarni?

mem0 is a memory layer your agent's code writes to: an LLM extraction stage decides what becomes a stored memory. Hjarni is a knowledge base a person writes in: the Markdown you write is exactly what gets stored, and what ChatGPT and Claude read back over MCP.

Can ChatGPT and Claude use mem0?

Through its MCP servers, yes: a hosted cloud server and the self-hosted OpenMemory. The content they read is memory your agents extracted. Hjarni's built-in, hosted MCP server gives the same clients your notes instead, with OAuth and nothing to run.

Is there a free mem0 alternative?

Hjarni is free to start with full MCP access and no credit card. mem0 itself stays free if you self-host the open-source core. Check each hosted product's current pricing before you commit.

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