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

@oleksiijko

Basic information

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

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 config

Add this server to your MCP-compatible client using the configuration below.

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

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

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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.

What agents does PMB work with?

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

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.

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.

What license is PMB released under?

PMB is released under the Apache-2.0 license.

Comments

More Developer Tools MCP servers

Routebase

Routebase keeps your API's design, docs, contract tests, mocks and monitoring in one living OpenAPI spec so they can't drift apart. Agents work on that same source of truth, under your team's permissions.

Casefile

azimov777

One case file per task — shared by every session, agent and person that touches it. Self-hosted MCP server and live board. MIT.

TaskerArmy Agent

TaskerArmy

Ask Claude or ChatGPT what Shopify theme optimization tasks are pending on your store, a remote MCP server for TaskerArmy Agent accounts.

Eased

easedui

Eased is a library of motion-first React components for shadcn, installed with the shadcn CLI.

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