# Long-term memory question answering on LoCoMo 0.6.0

Source: [Long-term memory question answering on LoCoMo 0.6.0](<https://www.sota2.com/research/sota/long-term-memory-question-answering-on-locomo-0-6-0>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-05-07T09:23:02.082Z

Evaluation of Long-term memory question answering performance on the LoCoMo dataset version 0.6.0, reporting Accuracy, statistical confidence intervals, and cost per correct answer.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Long-term memory question answering |
| Dataset (including any stated split) | LoCoMo 0.6.0 |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 10 of 10 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy](<https://www.sota2.com/research/sota/long-term-memory-question-answering-on-locomo-0-6-0.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Accuracy 95% CI](<https://www.sota2.com/research/sota/long-term-memory-question-answering-on-locomo-0-6-0.md?metric=Accuracy%2095%25%20CI>): Higher is better; unit: PERCENT.

- [Correct Count](<https://www.sota2.com/research/sota/long-term-memory-question-answering-on-locomo-0-6-0.md?metric=Correct%20Count>): Higher is better; unit: SCALAR.

- [Cost per Correct Answer](<https://www.sota2.com/research/sota/long-term-memory-question-answering-on-locomo-0-6-0.md?metric=Cost%20per%20Correct%20Answer>): Lower is better; unit: OTHER.

- [Chi-Squared Statistic](<https://www.sota2.com/research/sota/long-term-memory-question-answering-on-locomo-0-6-0.md?metric=Chi-Squared%20Statistic>): Lower is better; unit: SCALAR.

- [P-value](<https://www.sota2.com/research/sota/long-term-memory-question-answering-on-locomo-0-6-0.md?metric=P-value>): Lower is better; unit: SCALAR.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| EverMemOS | 94.48 | Not recorded | 69fc1c8d5497b3b670c884f7 |
| TM Pro | 93 | Not recorded | 69fc1c8d5497b3b670c884f7 |
| TM Base | 92.01 | Not recorded | 69fc1c8d5497b3b670c884f7 |
| TM Edge | 89.65 | Not recorded | 69fc1c8d5497b3b670c884f7 |
| RAG (ChromaDB) | 86.17 | Not recorded | 69fc1c8d5497b3b670c884f7 |
| Engram | 84.55 | Not recorded | 69fc1c8d5497b3b670c884f7 |
| BM25 | 80.45 | Not recorded | 69fc1c8d5497b3b670c884f7 |
| Zep (published) | 71 | Not recorded | 69fc1c8d5497b3b670c884f7 |
| Supermemory | 65.39 | Not recorded | 69fc1c8d5497b3b670c884f7 |
| Mem0 | 61.43 | Not recorded | 69fc1c8d5497b3b670c884f7 |

### EverMemOS

Accuracy: 94.48. Result ID: 69fc59e047f34ce924df58a9.

[Reporting paper](<https://www.sota2.com/research/paper/69fc1c8d5497b3b670c884f7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/695c970453fdd5c36174372b.md>)

Recorded evaluation configuration: {"Answer model":"gpt-4.1-mini","Judge model":"gpt-4o-mini","Judge runs / question":"3 (majority)","Answer temperature":"0","Judge temperature":"0","Max answer tokens":"200","Retrieval top-k":"100","Retrieval infra":"proprietary cloud infrastructure (4-billion-parameter GPU-hosted embedder)"}. This record does not assert independent reproduction.

### TM Pro

Accuracy: 93. Result ID: 69fc59e047f34ce924df58aa.

[Reporting paper](<https://www.sota2.com/research/paper/69fc1c8d5497b3b670c884f7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69fc1c8d5497b3b670c884f7.md>)

Recorded evaluation configuration: {"Answer model":"gpt-4.1-mini","Judge model":"gpt-4o-mini","Judge runs / question":"3 (majority)","Answer temperature":"0","Judge temperature":"0","Max answer tokens":"200","Retrieval top-k":"100","3-run means":"true"}. This record does not assert independent reproduction.

### TM Base

Accuracy: 92.01. Result ID: 69fc59e047f34ce924df58ab.

[Reporting paper](<https://www.sota2.com/research/paper/69fc1c8d5497b3b670c884f7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69fc1c8d5497b3b670c884f7.md>)

Recorded evaluation configuration: {"Answer model":"gpt-4.1-mini","Judge model":"gpt-4o-mini","Judge runs / question":"3 (majority)","Answer temperature":"0","Judge temperature":"0","Max answer tokens":"200","Retrieval top-k":"100","3-run means":"true"}. This record does not assert independent reproduction.

### TM Edge

Accuracy: 89.65. Result ID: 69fc59e047f34ce924df58ac.

[Reporting paper](<https://www.sota2.com/research/paper/69fc1c8d5497b3b670c884f7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69fc1c8d5497b3b670c884f7.md>)

Recorded evaluation configuration: {"Answer model":"gpt-4.1-mini","Judge model":"gpt-4o-mini","Judge runs / question":"3 (majority)","Answer temperature":"0","Judge temperature":"0","Max answer tokens":"200","Retrieval top-k":"100","3-run means":"true"}. This record does not assert independent reproduction.

### RAG (ChromaDB)

Accuracy: 86.17. Result ID: 69fc59e047f34ce924df58ad.

[Reporting paper](<https://www.sota2.com/research/paper/69fc1c8d5497b3b670c884f7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69b91e209131cea23c26.md>)

[Implementation](<https://github.com/huggingface/transformers/blob/master/examples/rag/>)

Recorded evaluation configuration: {"Answer model":"gpt-4.1-mini","Judge model":"gpt-4o-mini","Judge runs / question":"3 (majority)","Answer temperature":"0","Judge temperature":"0","Max answer tokens":"200","Retrieval top-k":"100"}. This record does not assert independent reproduction.

### Engram

Accuracy: 84.55. Result ID: 69fc59e047f34ce924df58ae.

[Reporting paper](<https://www.sota2.com/research/paper/69fc1c8d5497b3b670c884f7.md>)

Recorded evaluation configuration: {"Answer model":"gpt-4.1-mini","Judge model":"gpt-4o-mini","Judge runs / question":"3 (majority)","Answer temperature":"0","Judge temperature":"0","Max answer tokens":"200","Retrieval top-k":"100"}. This record does not assert independent reproduction.

### BM25

Accuracy: 80.45. Result ID: 69fc59e047f34ce924df58af.

[Reporting paper](<https://www.sota2.com/research/paper/69fc1c8d5497b3b670c884f7.md>)

Recorded evaluation configuration: {"Answer model":"gpt-4.1-mini","Judge model":"gpt-4o-mini","Judge runs / question":"3 (majority)","Answer temperature":"0","Judge temperature":"0","Max answer tokens":"200","Retrieval top-k":"100"}. This record does not assert independent reproduction.

### Zep (published)

Accuracy: 71. Result ID: 69fc59e047f34ce924df58b0.

[Reporting paper](<https://www.sota2.com/research/paper/69fc1c8d5497b3b670c884f7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76b41e209131cea6e944.md>)

Recorded evaluation configuration: {"note":"using their own evaluation methodology, not the paper harness"}. This record does not assert independent reproduction.

### Supermemory

Accuracy: 65.39. Result ID: 69fc59e047f34ce924df58b1.

[Reporting paper](<https://www.sota2.com/research/paper/69fc1c8d5497b3b670c884f7.md>)

Recorded evaluation configuration: {"Answer model":"gpt-4.1-mini","Judge model":"gpt-4o-mini","Judge runs / question":"3 (majority)","Answer temperature":"0","Judge temperature":"0","Max answer tokens":"200","Retrieval top-k":"100"}. This record does not assert independent reproduction.

### Mem0

Accuracy: 61.43. Result ID: 69fc59e047f34ce924df58b2.

[Reporting paper](<https://www.sota2.com/research/paper/69fc1c8d5497b3b670c884f7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa784b1e209131cea77ad6.md>)

Recorded evaluation configuration: {"Answer model":"gpt-4.1-mini","Judge model":"gpt-4o-mini","Judge runs / question":"3 (majority)","Answer temperature":"0","Judge temperature":"0","Max answer tokens":"200","Retrieval top-k":"100"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.
