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docs(readme): surface latest research numbers front and center (#1297)

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Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
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<strong>English</strong> · <a href="README.zh-CN.md">简体中文</a>
</p>
<p align="center">
<strong>#1 on every major AI memory benchmark — <a href="https://github.com/xiaowu0162/LongMemEval">LongMemEval</a>, <a href="https://github.com/snap-research/locomo">LoCoMo</a>, and <a href="https://github.com/Salesforce/ConvoMem">ConvoMem</a>.</strong><br/>
<strong>95% Recall@15 with a 99.4% context reduction · ~50ms user profiles.</strong><br/>
<a href="https://supermemory.ai/research">Read the research →</a>
</p>
---
Supermemory is the memory and context layer for AI. **#1 on [LongMemEval](https://github.com/xiaowu0162/LongMemEval), [LoCoMo](https://github.com/snap-research/locomo), and [ConvoMem](https://github.com/Salesforce/ConvoMem)** — the three major benchmarks for AI memory.
@ -356,10 +362,14 @@ Supermemory is state of the art across all major AI memory benchmarks:
| Benchmark | What it measures | Result |
|---|---|---|
| **[LongMemEval](https://github.com/xiaowu0162/LongMemEval)** | Long-term memory across sessions with knowledge updates | **81.6% — #1** |
| **[LongMemEval](https://github.com/xiaowu0162/LongMemEval)** | Long-term memory across sessions with knowledge updates | **#1** |
| **[LoCoMo](https://github.com/snap-research/locomo)** | Fact recall across extended conversations (single-hop, multi-hop, temporal, adversarial) | **#1** |
| **[ConvoMem](https://github.com/Salesforce/ConvoMem)** | Personalization and preference learning | **#1** |
On LongMemEval, supermemory reaches **95% Recall@15 while adding only ~720 tokens of context — a 99.4% context reduction** (99.6% at @10, 99.8% at @5). Recall by category: Knowledge Updates 99%, Assistant recall 100%, User recall 97%, Multi-session 93%, Temporal Reasoning 91%, Preference 90%.
We also built the **Supermemory Filesystem (SMFS)**, which uses **3.0× fewer tokens on Claude** (24M vs 72M) and **1.75× fewer on Codex** across the 110-question xAFS benchmark. See the full write-ups on our [research page](https://supermemory.ai/research).
We also built **[MemoryBench](https://supermemory.ai/docs/memorybench/overview)** — an open-source framework for standardized, reproducible benchmarks of memory providers. Compare Supermemory, Mem0, Zep, and others head-to-head:
```bash