MemorySync vs Mem0
A sourced comparison of MemorySync and Mem0: how each scopes memory, what a write stores, published latency, identity and access, audit logs, webhooks, deployment and pricing.
Capabilities side by side
| Capability | MemorySync | Mem0 |
|---|---|---|
| Scoping | End user required on every API-key call (400 without it); every read, search and delete is filtered to that end user and project | Filters your code passes: user_id, agent_id, run_id or app_id, at least one per call; organization and project come from the API key |
| What a write stores | Facts extracted from the text; a new value for a one-value fact, such as a city or a job title, replaces the old one | Memories from one ADD-only LLM pass (April 2026 algorithm): nothing is overwritten, so memories accumulate; infer=false stores the text as sent |
| Retrieval | Hybrid keyword and vector search | Semantic, BM25 keyword and entity matching, fused |
| Read latency | 179 ms p50 / 980 ms p95 server-side, measured against production | 0.88 s p50 on LoCoMo, published by Mem0 (managed platform, single-pass retrieval, top 200); reranking adds 150–200 ms |
| Identity & access | SAML 2.0, OIDC and SCIM 2.0 on every plan, including Free | SSO on the Enterprise plan |
| Audit logging | Audit logs on every plan, including Free | Audit logs on the Enterprise plan; the Platform also has an events API |
| Deletion & retention | Delete by ID or by filter, with a dry run; retention policies issue deletion receipts, and tombstones keep deleted memories from coming back | Delete by ID, by filter, in batches of up to 1,000, or a whole user; an expiration_date hides a memory from retrieval without deleting it |
| Team roles | Owner, Admin, Developer, Analyst, Billing Admin and Member, plus custom roles | READER and OWNER, at organization and project level |
| Webhooks | Memory, import, team, API-key, billing and rate-limit events | On the Platform, per project: memory add, update, delete and categorize, and ingest-job events |
| SDKs & MCP | Python and TypeScript SDKs, CLIs on npm and PyPI, hosted MCP server | Python and TypeScript SDKs (mem0ai), REST with OpenAPI, hosted MCP server |
| Deployment | Managed service only | Apache 2.0 library and self-hosted server; managed Platform; on-premises on Enterprise |
| Pricing | Free: 10,000 adds and 1,000 retrievals a month. Starter $29, Pro $179, Scale $349 a month | Hobby: free, 10,000 adds and 1,000 retrievals a month. Starter $19, Pro $249 a month; Enterprise custom |
The Mem0 column states only what Mem0 publishes about itself, checked on 29 September 2026. Sources: Pricing · April 2026 algorithm and latency (README) · Entity-scoped memory · Add memories · Delete memories · Memory expiration · Reranking · Organization roles · Webhooks · Platform vs open source · MCP server. MemorySync figures come from our own production measurements and documentation. Capability tables age quickly: if anything here is out of date, tell us at team@memorysync.io and we will correct it.
Why teams choose MemorySync
- An end user is required on every API-key call, and the API filters every read, search and delete to that end user and project, so one key can serve many customers without your code building the filter.
- SAML, OIDC, SCIM and audit logs come with every plan, including Free.
- A new value for a one-value fact, such as a city or a job title, replaces the old one when it is stored.
- Retention policies issue deletion receipts, and tombstones keep a deleted memory from coming back.
Moving from Mem0
- 1
Export your memories from Mem0 with the dashboard export or the export API, or let the CLI read the account with your Mem0 key.
- 2
Run memorysync migrate mem0 --file mem0_export.json --dry-run to see, per user, what would be written. It writes nothing.
- 3
Run it again without --dry-run. Each record lands under its Mem0 user_id as the end user, with its Mem0 id sent as client_ref, so a re-run skips what already moved.
- 4
Switch your calls to the MemorySync SDK: search becomes query, top_k becomes k, and the user moves from a filter to the end-user header.
Common questions
How are existing Mem0 memories imported?
The CLI’s migrate mem0 command, or bulk add, sends each record through the same fact extraction as any other write, under the end user its Mem0 user_id names. Each keeps its Mem0 id in metadata, so the two systems stay reconcilable, and a re-run skips records that already moved.
Why choose a managed service over self-hosting?
A managed service removes the work of running and scaling the database, the vector index and the extraction workers yourself. If the data has to stay on your own infrastructure, self-hosting Mem0 is the better fit: MemorySync has no self-hosted edition.
How does MemorySync keep one customer’s memory from another’s?
Every API-key call must name an end user in X-End-User-ID, or the API returns 400. Reads, searches and deletes are filtered to that end user, project and environment by the API, and memory text is encrypted with a separate key for each end user.
Comparisons
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