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Mohammed Rafay
Mohammed Rafay

Posted on Originally published at memorysync.hashnode.dev

Mem0 alternative: how to compare hosted agent memory (and move your data with a dry run)

#ai #agents #llm #python

Disclosure: I'm Mohammed, founder of MemorySync, so read this as a vendor's page. I drafted it with AI assistance and checked every claim against each company's own site and docs as of Oct 25, 2026. Code status: on Oct 25, 2026 I ran the MemorySync Python snippet (memorysync 1.10.1, Python 3.13) against a mocked HTTP transport to confirm the calls it sends, and ran the migration dry run below (memorysync-cli 1.6.1) on a sample Mem0 export. Nothing was sent to a live MemorySync or Mem0 service. The Mem0 call shapes are quoted from MemorySync's migration guide and were not run.

If you're searching for a "Mem0 alternative", you've usually hit one of three things: a plan limit, a scoping model that doesn't fit how your app identifies users, or a wish to evaluate a second provider before you commit. This page won't tell you Mem0 is bad. It's a mature product with a large community. It gives you the facts you need to compare, side by side, and a low-risk way to test a switch.

What Mem0 offers today (from Mem0's own pages)

  • Two editions. Mem0 Platform (managed) and a self-hosted edition. Mem0's docs say both run "the same core extraction and retrieval logic", and the Platform adds hosting and some extra features (Platform vs self-hosted).
  • Core API: add, search, get, get_all, update, delete, delete_all and history, scoped by user_id, agent_id and run_id (same page).

What MemorySync offers today (from memorysync.io and docs.memorysync.io)

  • Hosted only. One API, plus Python and Node SDKs, a CLI and a hosted, closed-source MCP server (docs).
  • Scope lives in headers. End-user scope is the X-End-User-ID header and project scope is X-Project-ID, not filter arguments (Migrating from Mem0).

Side by side (as of Oct 25, 2026)

Mem0 MemorySync
Deployment Managed Platform, or self-hosted edition Managed only
User scoping user_id / agent_id / run_id per call and in filters X-End-User-ID header (SDK: end_user_id= on the client)
Result count arg top_k k
Graph memory On Mem0's Pro and Enterprise plans Not listed as a plan feature

Two honest takeaways. If you need to run memory on your own infrastructure, Mem0's self-hosted edition is an option MemorySync does not offer. If your concern is a forgotten user_id filter widening a read, MemorySync's design puts the scope in a header the API enforces. Their docs also warn that a missing header writes into the wrong scope rather than raising, so map it carefully.

The call-by-call mapping

From MemorySync's migration guide:

Mem0 MemorySync
client.add(messages, user_id="alice") client.add("...") on a client created with end_user_id="alice"
client.search(query, filters={"user_id": "alice"}, top_k=5) client.query(query, k=5)
update(memory_id, text=...) PATCH /memory/{memory_id} (tags, importance, metadata, source)
org/project ids on the client X-Project-ID header 
# MemorySync, from docs.memorysync.io (ran against a mocked transport: sends POST /memory/add and /memory/query with X-End-User-ID: alice)
import os
from memorysync import MemorySyncClient

client = MemorySyncClient(
    api_key=os.environ["MEMORYSYNC_API_KEY"],
    base_url="https://api.memorysync.io",
    end_user_id="alice",
)
client.add("User prefers dark mode")
hits = client.query("user preferences", k=5)
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Test a move without risk

  1. Export from Mem0 (dashboard export or export API).
  2. Dry-run the import. It reports what would be written per user and writes nothing: 
   npx memorysync-cli migrate mem0 --file mem0_export.json --dry-run
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  1. Check one user's mapping before importing everything. Records with no determinable user are refused unless you pass --source-user <id>. I checked this on a sample export: the dry run stopped on the record with no user_id and wrote nothing, and with --source-user it listed that record under the given user.
  2. Run the import by following the migration guide once the dry run looks right.
  3. Keep both live and compare your own real queries, then keep the Mem0 export until you've run a full usage cycle. MemorySync's guide calls that "the cheapest rollback available".

One detail to plan for: per MemorySync's guide, Mem0's created_at is kept as metadata.mem0_created_at, and MemorySync assigns its own created_at. Sort on the metadata field if original order matters.

Common questions

Is MemorySync a drop-in replacement for Mem0? No. The concepts map closely, but the scoping moves from call arguments to a client setting or header, and top_k becomes k. Expect to touch every call site.

Can I self-host MemorySync? Not according to its current site and docs. If self-hosting is a requirement, Mem0's self-hosted edition is the relevant option.

Do both extract facts rather than store raw text? Yes, per MemorySync's migration guide. It says the difference is that MemorySync replaces the old value of a one-value fact, such as a city. Its guide says Mem0's April 2026 algorithm adds the new memory alongside the old one.

If you want to see the write/recall loop before you change any code, MemorySync has a browser playground with no signup: try it here.

Sources

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