広告掲載
MCP.so
ログイン

PMB (Personal Memory Brain) | Local first memory layer MCP Serve…

@oleksiijko

リポジトリ

基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

oleksiijko

投稿者

Oleksii Bondar

PMB (Personal Memory Brain) | Local first memory layer MCP Server について

Local-first persistent memory for AI coding agents over MCP. Gives Claude Code, Cursor and Codex shared, durable project memory across sessions. No cloud, no API keys.

#memory#ai-agents#mcp#local-first#rag#knowledge-graph#claude-code#cursor#codex#python

PMB (Personal Memory Brain) | Local first memory layer MCP Server の設定

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": {
    "pmb": {
      "command": "pmb-mcp"
    }
  }
}

PMB (Personal Memory Brain) | Local first memory layer MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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 PMB?

PMB (Personal Memory Brain) is a local-first persistent memory layer for AI coding agents over the Model Context Protocol. It provides Claude Code, Cursor, Codex, and other MCP-aware agents with a shared, durable memory of project decisions, lessons, facts, and goals that persists across sessions, stored entirely in a single SQLite file on your machine.

How to use PMB?

Install the package via pip (pip install pmb-ai), then connect it to your agent with a command like pmb connect claude-code. PMB works out of the box with Claude Code, Cursor, Codex, Windsurf, Zed, VS Code, and other MCP-compatible tools.

Key features of PMB

  • 100% local — no cloud, no API keys, no telemetry
  • Hybrid retrieval using BM25, vector search, and entity graph
  • Achieves 94.5% evidence-recall@10 on the LoCoMo benchmark
  • Persistent memory across all coding sessions
  • Compatible with multiple MCP-aware agents

Use cases of PMB

  • Retaining project decisions and rationale between coding sessions
  • Storing lessons learned and domain facts for consistent agent behavior
  • Enabling multiple AI agents to share and update the same project memory
  • Building a durable, searchable knowledge base for long-running development workflows

よくある質問

1

Where is my data stored?

All memory is kept in a single SQLite file on your local machine. No data is sent to the cloud or any third party.

2

What agents does PMB work with?

PMB is designed for any MCP-aware agent, including Claude Code, Cursor, Codex, Windsurf, Zed, and VS Code.

3

Do I need an API key or internet connection?

No. PMB requires no API keys, no cloud services, and no internet connectivity. It is entirely local.

4

How do I install PMB?

Install the Python package with `pip install pmb-ai`, then run `pmb connect <agent-name>` (e.g., `pmb connect claude-code`) to link it to your agent.

5

What license is PMB released under?

PMB is released under the Apache-2.0 license.

コメント

「開発者ツール」の他のコンテンツ

Mcp-Warden

ermoluk

Local-first credential broker for MCP. AI coding agents (Claude Code, Cursor, Codex…) call APIs, SSH and databases through scoped presets; secrets stay in your OS keychain and never enter the agent's context.

4

akta.pro — Private company data, news, and signals API for AI agents

akta-pro

akta.pro MCP connects Claude, ChatGPT, Cursor, VS Code, Codex, Claude Code, OpenCode, and other MCP clients to structured company intelligence and news signals. Access public and private company data, real-time and histo

Perfex CRM

themesic

Turn Perfex CRM into an AI-ready workspace. This MCP server exposes your full REST API to Claude, ChatGPT and any AI agent, so leads, invoices and tasks are one prompt away.

1

Yocoolab

Yocoolab

MCP server for AI Agents — exposes Yocoolab feedback threads and design selections as tools

1

ArtiBot Cloud MCP - Zhijiangyun 智匠云

bofob

ArtiBot Cloud MCP (Zhijiangyun 智匠云) — cloud MCP server for robot manipulation data & GPU workloads. 15 tools: robot fleet management, data collection & video recording, post-processing pipelines, and benchmark evaluation

1
広告掲載