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Aimemo MCP Server

@MyAgentHubs

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

MyAgentHubs

提交者

Panda Frank (Panda)

关于 Aimemo MCP Server

暂无概览

#claude#cursor#memory#agent

Aimemo MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "aimemo": {
      "command": "aimemo",
      "args": []
    }
  }
}

Aimemo MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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 Aimemo?

Aimemo is a zero-dependency MCP memory server for AI agents, providing persistent, searchable, local-first memory as a single Go binary. It integrates with Claude Code and OpenClaw, storing memory in a SQLite database inside a .aimemo/ directory next to the project code.

How to use Aimemo?

Install via one-line curl script or Homebrew, then run aimemo init in the project root. Register the MCP server with claude mcp add-json aimemo-memory '{"command":"aimemo","args":["serve"]}' and restart Claude Code – the server loads automatically on each session.

Key features of Aimemo

  • Single binary, no Docker, Node.js, cloud, or API keys.
  • Memory stored in .aimemo/ next to project code, portable across branches.
  • Auto-loads prior context via memory_context tool at session start.
  • Full-text search using SQLite FTS5 with BM25 scoring (recency + frequency).
  • Concurrent writes supported via SQLite WAL mode.
  • Full CLI control: inspect, edit, retract, export Markdown or JSON.

Use cases of Aimemo

  • AI coding assistant resumes work on a project after days away.
  • OpenClaw skills isolate memory per skill using context names.
  • Record decisions, bugs, and progress across multiple sessions.
  • Search past observations without repeating instructions.
  • Export memory as Markdown or JSON for documentation or backup.

常见问题

1

What dependencies does Aimemo require?

Zero dependencies. It is a single Go binary with no Docker, Node.js runtime, cloud account, or API keys required.

2

How is memory isolated per project?

Memory is stored in a `.aimemo/` directory within the project root, discovered by walking up directories (similar to Git). This keeps memory project-local and branch-aware.

3

Can multiple Claude sessions write concurrently without corruption?

Yes, SQLite WAL mode allows multiple Claude windows to write simultaneously without locking each other out.

4

How does the search ranking work?

Full-text search uses SQLite FTS5 with BM25 scoring weighted by recency and access frequency. Relevant memories surface first; older noise fades naturally.

5

Is the memory data human-readable?

Yes, you can export all memory to Markdown or JSON using `aimemo export --format md` or `aimemo export --format json`.

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