Engram is the better fit if
Choose Engram when one managed MCP memory should work across agents, repositories, and teammates, with explicit recovery after context compaction.
Public benchmark
Engram vs Mem0 OSS
Compare Engram and Mem0 OSS on public LoCoMo memory tasks. Same-method results are shown where available, with methodology and limitations visible.
Engram92.19%
Mem0 OSS83.92%
The short answer
Mem0 OSS is the better fit if
Choose Mem0 when you want a general-purpose memory API with a broad hosted and self-hosted ecosystem.
What this page does not prove
The benchmark below uses the same public retrieval and answer tasks, but deployment model, privacy needs, and customization still matter.
What the numbers say
Side by side
+8.27 pp
Engram leads by 8.27 percentage points on R@50.
+11.23 pp
Engram leads by 11.23 percentage points on answer accuracy.
| Decision point | Engram | Mem0 OSS |
|---|---|---|
| Primary product shape | Managed memory layer for agent teams | General-purpose agent memory platform and API |
| Delivery model | MCP · Built in | Hosted MCP and API; self-hosted OSS options |
| Cross-tool agent use | Supported | Supported through hosted MCP |
| Context-compaction recovery | Built in | Not measured here |
| Team and cross-repo learning | Built in | Not measured here |
| Same-method answer evidence | Supported | Supported |
Questions buyers ask
Were Engram and Mem0 OSS tested the same way?
The values marked as same-method use the same public LoCoMo task, candidate depth, and scoring rule. Product-published numbers from a different protocol are not mixed into this table.
Does the highest retrieval score automatically mean the best product?
No. Retrieval measures whether useful evidence appears in the candidate set. Answer accuracy measures whether that evidence helps produce the right answer. Operations, privacy, integrations, and cost remain separate buying decisions.
Which product should I choose?
Choose Engram for a managed, team-scoped MCP workflow across tools and repositories. Choose Mem0 for a broad general-purpose memory API and deployment ecosystem.
Engram is measured two ways: first, whether it retrieves the right evidence; second, whether an LLM can answer correctly from that retrieved context.
We keep retrieval and answer accuracy separate. Both use public LoCoMo, but they measure different parts of the memory loop.