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Local, explainable knowledge base for AI agents: hybrid search with provenance over SQLite.
io.github.kKEo/memory-find 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 56/100。 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。该条目暂无自动安装命令，请查阅仓库获取手动安装说明。 在将 io.github.kKEo/memory-find 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。
查看来源文档运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-09T04:59:55.152201Z",
"publishedAt": "2026-10-09T04:59:55.152201Z",
"statusChangedAt": "2026-10-09T04:59:55.152201Z"
}
},
"server": {
"name": "io.github.kKEo/memory-find",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-09-29/server.schema.json",
"version": "1.5.0",
"packages": [
{
"version": "1.5.0",
"transport": {
"type": "stdio"
},
"fileSha256": "3aa63e281bb2c1d13508c439efe63d8157347810b11b1e7d81616336d0f6ea55",
"identifier": "https://github.com/kKEo/memory-find/releases/download/v1.5.0/memo-mcp_1.5.0_linux_amd64.tar.gz",
"registryType": "mcpb",
"environmentVariables": [
{
"name": "MEMO_KB",
"format": "string",
"default": "default",
"description": "Name of the knowledge base to open; one SQLite file per name under $MEMO_HOME/kb/."
},
{
"name": "MEMO_HOME",
"format": "string",
"description": "Base directory for knowledge bases and settings (default ~/.memo-mcp)."
},
{
"name": "MEMO_MODEL",
"format": "string",
"description": "Embedding model id from `memo-mcp model ls` (default granite-small-r2)."
}
]
}
],
"repository": {
"url": "https://github.com/kKEo/memory-find",
"source": "github"
},
"websiteUrl": "https://github.com/kKEo/memory-find",
"description": "Local, explainable knowledge base for AI agents: hybrid search with provenance over SQLite."
}
}