Memory MCP 1file

@pomazanbohdan

代码仓库

基本信息

分类

记忆与知识

传输方式

stdio

作者

pomazanbohdan

提交者

Богдан Помазан

关于 Memory MCP 1file

A high-performance, pure Rust Model Context Protocol (MCP) server that provides persistent, semantic, and graph-based memory for AI agents.

#vector-search #knowledge-graph #code-indexing

Memory MCP 1file 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "memory": {
      "command": "docker",
      "args": [
        "run",
        "--init",
        "-i",
        "--rm",
        "-v",
        "mcp-data:/data",
        "-v",
        "/absolute/path/to/your/project:/project:ro",
        "ghcr.io/pomazanbohdan/memory-mcp-1file:latest"
      ]
    }
  }
}

Memory MCP 1file 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 Memory Mcp 1file?

Memory Mcp 1file is a high‑performance, pure Rust Model Context Protocol (MCP) server that provides persistent, semantic, and graph‑based memory for AI agents. It is a single, self‑contained executable with no external database, no Python dependencies, no API keys, and requires zero setup—just run a Docker container or binary.

How to use Memory Mcp 1file?

Run the Docker container or the compiled binary. No configuration keys are mentioned in the README; the server starts with built‑in vector search (FastEmbed), a knowledge graph (PetGraph), code indexing, and hybrid retrieval.

Key features of Memory Mcp 1file

Embeds SurrealDB for persistent storage
Vector search (FastEmbed) for semantic similarity
Knowledge graph (PetGraph) for entity relationships
Code indexing to understand a codebase
Hybrid retrieval via Reciprocal Rank Fusion
All models run locally on CPU, no API keys required

Use cases of Memory Mcp 1file

AI agents that need persistent, semantic memory across sessions
Searching codebases by meaning, not just keywords
Storing and retrieving entity relationships in a knowledge graph
Offline‑first memory without internet or cloud dependencies

常见问题

What dependencies does Memory Mcp 1file require?

None. It is self‑contained: no Python, no external database, and no API keys. All embedding models run via an embedded ONNX runtime on CPU.

Does Memory Mcp 1file need an internet connection?

No. All models run locally on CPU, so no online API calls are made.

How is data stored?

Data is persisted using an embedded SurrealDB instance inside the single executable.

What transports or protocols does Memory Mcp 1file use?

It implements the Model Context Protocol (MCP); no other transport details are provided in the README.

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