Memory Mcp 1file

Name: Memory Mcp 1file
Author: pomazanbohdan

@pomazanbohdan

Memory Mcp 1file について

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

基本情報

カテゴリ

メモリとナレッジ

トランスポート

stdio

公開者

pomazanbohdan

投稿者

Богдан Помазан

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "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"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

FAQ from Memory Mcp 1file

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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