docs: fix the stale benchmark table and finish the one-liner sweep

Addresses review feedback on #6944.

The Performance Improvements table in platform-v2-to-v3.mdx still read
91.6 (+20.2) / 93.4 (+25.6) while the Overview prose in the same file
already read 92.5 / 94.4, so the page stated both sets of numbers.
Reconciled against the research team's current figures in README.md:
71.4 -> 92.5 (+21.1) and 67.8 -> 94.4 (+26.6).

Delivered the three one-liner sweep edits the PR description claimed but
never shipped: the README banner alt text, the mem0-ts README title and
lede, and the docs/introduction.mdx frontmatter description.

The dated changelog entry at 91.6 / 93.4 stays as-is; it records what was
announced on 2026-04-14.
This commit is contained in:
kartik-mem0
2026-08-14 18:38:06 +05:30
parent bc5a7d763d
commit 08a5a931e0
4 changed files with 6 additions and 6 deletions
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@@ -1,6 +1,6 @@
<p align="center">
<a href="https://github.com/mem0ai/mem0">
<img src="docs/images/banner-sm.png" width="800px" alt="Mem0 - The Memory Layer for Personalized AI">
<img src="docs/images/banner-sm.png" width="800px" alt="Mem0 - The Memory Layer for AI Agents">
</a>
</p>
<p align="center" style="display: flex; justify-content: center; gap: 20px; align-items: center;">
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---
title: "Build AI apps that remember"
description: "Add persistent, self-improving memory to your AI app with Mem0 Platform or self-hosted Open Source."
description: "Give your AI agents persistent memory with Mem0 Platform or self-hosted Open Source."
mode: "custom"
---
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@@ -293,8 +293,8 @@ If your application previously read graph relations from the API response (`rela
| Metric | Previous Algorithm | New Algorithm |
|---|---|---|
| **LoCoMo Overall** | 71.4 | **91.6** (+20.2) |
| **LongMemEval Overall** | 67.8 | **93.4** (+25.6) |
| **LoCoMo Overall** | 71.4 | **92.5** (+21.1) |
| **LongMemEval Overall** | 67.8 | **94.4** (+26.6) |
| **Extraction latency (p50)** | ~2.0s | **~1.0s** |
| **Mean tokens per query** | N/A | 6.8-7.0K (top200) |
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# Mem0 - The Memory Layer for Your AI Apps
# Mem0 - The Memory Layer for AI Agents
Mem0 is a self-improving memory layer for LLM applications, enabling personalized AI experiences that save costs and delight users. We offer both cloud and open-source solutions to cater to different needs.
Mem0 is the memory layer for AI agents. We offer both cloud and open-source solutions to cater to different needs.
See the complete [OSS Docs](https://docs.mem0.ai/open-source/node-quickstart).
See the complete [Platform API Reference](https://docs.mem0.ai/api-reference).