kartik-mem0
c8b93de8e9
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.
18 lines
580 B
JSON
18 lines
580 B
JSON
{
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"name": "mem0",
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"version": "0.2.13",
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"description": "Mem0, the memory layer for AI agents. Add persistent memory, personalization, and semantic search using the Mem0 Platform MCP server.",
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"author": {
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"name": "Mem0",
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"email": "support@mem0.ai"
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},
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"homepage": "https://mem0.ai",
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"repository": "https://github.com/mem0ai/mem0",
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"logo": "logo.svg",
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"license": "Apache-2.0",
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"keywords": ["mem0", "memory", "mcp", "personalization", "semantic-search"],
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"skills": "./skills/",
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"hooks": "./hooks/cursor-hooks.json",
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"mcpServers": ".cursor-mcp.json"
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}
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