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MemQ

MemQ benchmark evidence

Published snapshot

Published retrieval results

In this 108-artifact snapshot, MemQ ranked the intended memory first in 100% of runs versus 58% for Mem0 OSS, with 13 ms average retrieval versus 2,511 ms.

Generated Apr 28, 2026 · 12 cases · 3 repetitions

Primary@1100%+42 points vs Mem0 OSS
Average retrieval13 ms193.2x lower than Mem0 in this harness
Leakage-free100%Across 3 isolated namespaces

Direct comparison

Retrieval quality and latency, side by side

Every percentage and timing below is read from the published snapshot. Longer quality bars are better; shorter latency bars are better.

Intended memory ranked first

Primary@1 across the same retrieval cases

MemQ MCP100%
Mem0 OSS58%
Keyword baseline58%

Average retrieval latency

Measured in the published harness; lower is better

MemQ MCP13 ms
Mem0 OSS2,511 ms

The in-process keyword baseline is excluded from the latency comparison because it does not make an equivalent service call.

Snapshot result: MemQ maintained 100% recall@K and 100% leakage-free retrieval. This is a reproducible harness result, not a universal workload claim.

Evidence ledger

Enough context to inspect the claim

The page keeps the benchmark envelope visible instead of turning a single number into an unsupported promise.

Cases
12
7 retrieval families
Namespaces
3
apollo, orion, zephyr
Repetitions
3
Per provider and case
Artifacts
108
Published result records

Isolation is measured

MemQ returned leakage-free results in 100% of runs. Mem0 OSS and the keyword baseline each reached 67% in this corpus.

Answer quality is separate

The fixed-model answer corpus records 75% pass with MemQ context versus 0% with no memory across 12 cases.

The source stays downloadable

The generated JSON, summaries, case families, and repository remain linked so the headline can be checked against its source.

Method and limits

What these results do and do not prove

  • The same 12 cases and 3 repetitions were used for each retrieval provider.
  • The corpus covers disambiguation, freshness, incident, preference, procedural, project_memory, runbook.
  • Primary@1, recall@K, MRR, namespace leakage, and service latency are calculated from the versioned run artifacts.
  • Results describe this harness, dataset, configuration, and run date. They do not guarantee performance for every corpus, deployment, or workload.

Published sources

Read the evidence in its original format

Machine-readable results for automation, concise summaries for review, and the public harness for reproduction.