Benchmarks
Five benchmarks, first on three
With one open model writing memory for every system, Reglos leads EverOS, MemOS and Mem0 on PersonaMem-v2, LongMemEval-S and LoCoMo.
Benchmarks
Results
01
Full results
Qwen3.8-27B answering
| System | PersonaMem-v2 | LongMemEval-S | LoCoMo | BEAM-100K | BEAM-500K |
|---|---|---|---|---|---|
| Reglos | 61.3 | 84.0 | 87.2 | 67.9 | 65.6 |
| EverOS | 53.6 | 80.4 | 81.5 | 69.5 | 58.3 |
| MemOS | 53.8 | 73.0 | 75.7 | 67.0 | 62.9 |
| Mem0 | 45.0 | 65.6 | 57.8 | 69.4 | 66.8 |
GPT-5.6 Luna answering
| System | PersonaMem-v2 | LongMemEval-S | LoCoMo | BEAM-100K | BEAM-500K |
|---|---|---|---|---|---|
| Reglos | 57.5 | 87.2 | 89.5 | 65.9 | 65.0 |
| EverOS | 49.6 | 80.0 | 86.1 | 67.5 | 57.0 |
| MemOS | 50.5 | 74.0 | 78.8 | 64.4 | 61.3 |
| Mem0 | 45.2 | 64.4 | 62.4 | 68.8 | 59.9 |
02
Where it leads
91.4%
Questions involving sensitive information
PersonaMem-v2 · other memory systems 42.9%–47.6%
63.1%
Things the user asked to forget
PersonaMem-v2 · EverOS 42.8%, Mem0 11.8%
98.2%
What the assistant itself said earlier
LongMemEval-S · EverOS 67.9%
+6.5
Gained by four self-improvement steps
54.2% → 60.7% · accepted on held-out users
Accuracy holds as more is written: writing only 25%, 50%, 75% or 100% of each history and asking the same questions, Reglos leads at every step.
All numbers are from our paper Reglos: A Self-Evolving Personal Memory Agent with Recursive Self-Improvement (arXiv:2611.06049)