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Local-first persistent memory for AI agents, with reasoning and formal verification.
MemoryLayer 是 ChatHome Skills 收录的 MCP 条目,来源为 Official MCP Registry,质量分 93/100。 作为 Model Context Protocol 服务器,它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具,让 agent 的能力超出模型内置范围。 该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录,每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。 质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势,完整算法说明见来源页。安装命令已列于上方,可直接复制使用。 在将 MemoryLayer 加入生产 agent 工作流前,请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。
npx -y @raajvamsy/memorylayer@1.7.1运行此命令前,请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-09-20T07:06:58.849799Z",
"publishedAt": "2026-09-20T07:06:58.849799Z",
"statusChangedAt": "2026-09-20T07:06:58.849799Z"
}
},
"server": {
"name": "in.memorylayer/memorylayer",
"title": "MemoryLayer",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "1.7.1",
"packages": [
{
"version": "1.7.1",
"transport": {
"type": "stdio"
},
"identifier": "@raajvamsy/memorylayer",
"registryType": "npm",
"registryBaseUrl": "https://registry.npmjs.org",
"runtimeArguments": [
{
"name": "--stdio",
"type": "named",
"isRequired": true,
"description": "Run as a stdio MCP server"
}
],
"environmentVariables": [
{
"name": "MEMORY_API_KEY",
"isSecret": true,
"description": "Optional MemoryLayer API key for higher rate limits. Memory content never leaves your machine; the key is used only for license validation. Get one free at https://memorylayer.in"
}
]
}
],
"websiteUrl": "https://memorylayer.in",
"description": "Local-first persistent memory for AI agents, with reasoning and formal verification."
}
}