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Memory benchmark

Agent memory that returns only what is true now.

Old facts, other users’ facts and facts from the wrong project stay out. Your agent reads less and gets it right.

All benchmarks

77/77

PrecisionMemBench cases. Mem0 and Zep: 9.

43/43

Cases where memory must pick the right facts

11.1×

Fewer tokens to find the current rule

Every system tested.

  1. Proofable77 of 77
  2. Tenure77 of 77
  3. Hindsight66 of 77
  4. Supermemory15 of 77
  5. Mem0, Zep, Cognee9 of 77
PrecisionMemBench cases passed, out of 77
SystemResultRun bySource
ProofableProofable, on Vectorize’s open toolkit77 of 77Proofable, on Vectorize’s open toolkitPublic proof
TenureTenureHQ, author’s own product77 of 77TenureHQ, author’s own productAuthor table
HindsightVectorize, same toolkit66 of 77Vectorize, same toolkitPublished run
SupermemoryTenureHQ, the benchmark’s author15 of 77TenureHQ, the benchmark’s authorAuthor table
Mem0, Zep, CogneeTenureHQ, the benchmark’s author9 of 77TenureHQ, the benchmark’s authorAuthor table

Proofable and Hindsight ran on the same open toolkit. The other rows are the benchmark author’s own runs, and Tenure is the author’s own product.

Against the alternatives.

  • PrecisionMemBench cases passed

    Proofable77 of 77
    Agent on its own–
    Mem0 or Zep9 of 77
  • Cases that need the right facts picked

    Proofable43 of 43
    Agent on its own–
    Mem0 or Zep0 of 43
  • Precision (share of returned facts that were right)

    Proofable0.98
    Agent on its own–
    Mem0 or Zep0.06
  • Recall (share of right facts returned)

    Proofable1.00
    Agent on its own–
    Mem0 or Zep0.66 to 0.99
MeasureProofableAgent on its ownMem0 or Zep
PrecisionMemBench cases passed77 of 77–9 of 77
Cases that need the right facts picked43 of 43–0 of 43
Precision (share of returned facts that were right)0.98–0.06
Recall (share of right facts returned)1.00–0.66 to 0.99

Mem0 and Zep figures are the PrecisionMemBench author’s own runs. High recall with low precision means the right fact came back buried among wrong ones.

Finding the current rule costs 11.1× fewer tokens.

  • Tokens, on a 3,621-record vault

    Proofable43,169
    Searching every record479,623
    Difference11.1× fewer
  • Time for the same questions

    Proofable66 s
    Searching every record178 s
    Difference2.7× faster
  • Model calls

    Proofable6
    Searching every record10
    Difference4 fewer
MeasureProofableSearching every recordDifference
Tokens, on a 3,621-record vault43,169479,62311.1× fewer
Time for the same questions66 s178 s2.7× faster
Model calls6104 fewer

Same agent and model on both, on the questions both answered correctly. Proofable checks whether a fact is still current before reading it, so it skips everything outdated.

Check the results yourself.

  • Memory: the 77/77 PrecisionMemBench resultVerified
  • Speed and cost: 750× faster checks, handoffs, 11.1× fewer tokens, ID reuseVerified

Questions

What does PrecisionMemBench test?

It stores 35 facts for one user, some replaced by newer ones and one belonging to someone else, then asks 77 questions and checks exactly which facts come back. A stale fact, a fact from the wrong area or another user’s fact fails the case. 34 of the questions should return nothing.

How is this different from Mem0 or Zep?

Proofable stores each fact with who it belongs to, what it is about and whether it is still current, so wrong facts are filtered out before anything is ranked. On the benchmark author’s own table Mem0 and Zep pass 9 of 77, and none of the 43 cases that need the right facts picked.

Is 77 of 77 the top score?

It ties the benchmark author’s own system, Tenure. On the same open toolkit the next published memory, Hindsight, passes 66.

Verify this run yourself
  • Public proof of the run
  • Every case from all three runs, and the code that ran
  • PrecisionMemBench

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