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Agentic AI Atlas · MemoryBench
page:docs-supermemory-research-raw-12-memorybencha5c.ai
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page:docs-supermemory-research-raw-12-memorybench

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MemoryBench json

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File · wiki/docs/supermemory-research/raw/12-memorybench.mdCluster · wiki
Record JSON
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    "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",
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