Amem
@amanasmuei
关于 Amem
The memory layer for AI coding tools. Local-first, semantic, 9 MCP tools with consolidation and project scoping. Works with Claude Code, Cursor, Windsurf & any MCP client.
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"amem": {
"command": "npx",
"args": [
"-y",
"@aman_asmuei/amem"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Amem?
Amem (Aman's Memory) is an MCP server that gives AI coding assistants persistent memory. It remembers user preferences, decisions, corrections, and project knowledge across conversations so the user never has to repeat themselves. All data stays on the local machine using SQLite and local embeddings, with no cloud or API keys required.
How to use Amem?
Install the package globally with npm install -g @aman_asmuei/amem, then configure it as an MCP server in your AI tool (Claude Code, Cursor, Windsurf, or any MCP client) by pointing to the amem command or npx @aman_asmuei/amem. Once connected, ask the AI to store or recall memories using built-in tools like memory_store and memory_recall.
Key features of Amem
- Persistent memory for AI assistants via MCP.
- Six memory types: corrections, decisions, patterns, preferences, topology, facts.
- Smart ranking using relevance, recency, confidence, and importance.
- Conflict detection and automatic reinforcement of related memories.
- Built-in consolidation: merge duplicates, prune stale, promote frequent.
- Local storage with SQLite and embeddings; no cloud.
Use cases of Amem
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