> ## Documentation Index
> Fetch the complete documentation index at: https://docs.maximem.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Migrate to Synap

> Moving from another memory layer? Start here. Pick your source platform, follow its guide, and use the shared migration method to map, backfill, verify, and cut over cleanly.

You're already using another memory layer and want to evaluate or move to Synap. This section has a dedicated guide for each source platform, plus the [shared method](/migrations/how-it-works) they all build on.

<Note>
  New to Synap's model first? Read [What is Synap?](/getting-started/overview) and [Memory scopes](/concepts/memory-scopes) before migrating — the migration is mostly a mapping exercise, and it goes faster once the scope model is clear.
</Note>

## Start here

<CardGroup cols={2}>
  <Card title="How migration works" icon="route" href="/migrations/how-it-works">
    The method every migration follows: map scopes, configure the instance, backfill, pilot, verify, cut over. Read this once, then pick your platform.
  </Card>

  <Card title="Memory scopes" icon="layer-group" href="/concepts/memory-scopes">
    The client / customer / user model your source data has to map onto.
  </Card>
</CardGroup>

## Pick your source platform

<CardGroup cols={2}>
  <Card title="From Mem0" icon="right-left" href="/migrations/from-mem0">
    User-scoped memory bag of untyped strings. Straightforward user-scope mapping.
  </Card>

  <Card title="From Zep" icon="right-left" href="/migrations/from-zep">
    Sessions, Users, and automatic facts. Maps onto conversations plus typed context.
  </Card>

  <Card title="From Letta (MemGPT)" icon="right-left" href="/migrations/from-letta">
    Agent-coupled core / archival memory. A re-architecture, not a drop-in.
  </Card>

  <Card title="From Supermemory" icon="download" href="/migrations/from-supermemory">
    Documents and memories under flat container tags. Ships with a ready-to-run script.
  </Card>
</CardGroup>

## More platforms

We're building careful, first-class guides for the memory layers customers ask about most. The following are on the roadmap:

| Platform                           | Status    |
| ---------------------------------- | --------- |
| Mem0                               | Available |
| Zep                                | Available |
| Letta (MemGPT)                     | Available |
| Supermemory                        | Available |
| Cognee                             | Planned   |
| LangMem                            | Planned   |
| Vector store (Pinecone / Weaviate) | Planned   |

If your source isn't listed, the [shared method](/migrations/how-it-works) still applies — the only platform-specific part is the export and the concept mapping. Email **[support@maximem.ai](mailto:support@maximem.ai)** with what you're using and we'll prioritise a guide.

## What every migration gains

* **Typed extractions** — facts, preferences, episodes, emotions, and temporal events as separate lists, not one flat pool of strings.
* **Three scopes** — client, customer, and user, with roll-up, so shared knowledge is stored once instead of copied per user.
* **Entity resolution** — the same person or product recognised across conversations.
* **Context compaction** — long histories stay usable without you managing the window.