docs: refresh README first fold, reconcile stale benchmark numbers, unify the one-liner

README first fold:
- banner 800px -> 520px
- badges condensed from two paragraphs into one row (Trendshift kept, inline)
- lead with Introduction instead of benchmarks
- new How it works section explaining the add/search loop
- benchmarks moved below the intro and retitled from the date-stamped
  New Memory Algorithm (April 2026)
- dropped Research Highlights, which restated the benchmark table verbatim

Benchmarks: the README was already correct at 92.5 / 94.4, matching
mem0.ai/research and docs/core-concepts/memory-evaluation.mdx. The stale
copies were in the migration guides, which quote the numbers as a live
reason to upgrade. Updated both to 92.5 / 94.4 (+21 / +27).
docs/changelog/highlights.mdx keeps 91.6 / 93.4 inside its dated
2026-04-14 entry, which records what was announced at the time.

One-liner: standardized on 'the memory layer for AI agents', already the
canonical form in cli-spec.json, cli/python/pyproject.toml and the CLI
specification. Swept the remaining variants.

integrations/mem0-plugin/.cursor-plugin/plugin.json

@@ -1,7 +1,7 @@
 {
   "name": "mem0",
   "version": "0.2.13",
-  "description": "Mem0 memory layer for AI applications. Add persistent memory, personalization, and semantic search using the Mem0 Platform MCP server.",
+  "description": "Mem0, the memory layer for AI agents. Add persistent memory, personalization, and semantic search using the Mem0 Platform MCP server.",
   "author": {
     "name": "Mem0",
     "email": "support@mem0.ai"

integrations/mem0-plugin/skills/mem0/SKILL.md

@@ -16,7 +16,7 @@ compatibility: Requires Python 3.10+ or Node.js 18+, pip install mem0ai or npm i
 > - **mem0** (this skill) -- Platform Client SDK + OSS (Python + TypeScript)
 > - **[mem0-vercel-ai-sdk](https://github.com/mem0ai/mem0/tree/main/skills/mem0-vercel-ai-sdk)** -- Vercel AI SDK provider
 
-Mem0 is a managed memory layer for AI applications. It stores, retrieves, and manages user memories via API — no infrastructure to deploy. For self-hosted usage, see the OSS section in the client references below.
+Mem0 is the managed memory layer for AI agents. It stores, retrieves, and manages user memories via API, no infrastructure to deploy. For self-hosted usage, see the OSS section in the client references below.
 
 ## Step 1: Install and authenticate