II.
Page JSON
Structured · livepage:docs-supermemory-research-raw-12-memorybench
MemoryBench json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "page:docs-supermemory-research-raw-12-memorybench",
"_kind": "Page",
"_file": "wiki/docs/supermemory-research/raw/12-memorybench.md",
"_cluster": "wiki",
"attributes": {
"nodeKind": "Page",
"sourcePath": "docs/supermemory-research/raw/12-memorybench.md",
"sourceKind": "repo-docs",
"title": "MemoryBench",
"displayName": "MemoryBench",
"slug": "docs/supermemory-research/raw/12-memorybench",
"articlePath": "wiki/docs/supermemory-research/raw/12-memorybench.md",
"article": "\n# MemoryBench\n\nSource: https://supermemory.ai/docs/memorybench/overview\n\n## Core Purpose\n\nMemoryBench is an open-source framework for standardized, reproducible benchmarks of memory layer providers. Designed for rigorous, accessible, and industry-aligned evaluations.\n\n## Key Features\n\n- Design custom evaluations\n- Run industry-standard benchmarks across memory providers\n- Transparent and reproducible results\n\n## Components\n\n- Installation guide\n- CLI Reference\n- Architecture documentation\n- Web Interface: `bun run src/index.ts serve`\n- MemScore metric for comparing quality, latency, and token efficiency\n\n## Supported Providers\n\n- Supermemory (cloud-based memory layer)\n- Mem0 (graph-based memory)\n- Zep (long-term memory for AI)\n\nAdditional providers being integrated with community contribution opportunities.\n",
"documents": []
},
"outgoingEdges": [],
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"to": "page:docs-supermemory-research-raw-12-memorybench",
"kind": "contains_page"
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