MCP Solutions

Basic Memory

Active

Basic Memory lets you build persistent knowledge through natural conversations with Large Language Models (LLMs) like Claude, while keeping everything in simple Markdown files on your computer. It uses the Model Context Protocol (MCP) to enable any compatible LLM to read and write to your local knowledge base.

Updated 8/8/2025
Key Features

What makes this MCP server special

AI assistants can load context from local files in a new conversation
Notes are saved locally as Markdown files in real time
No project knowledge or special prompting required
Chat histories capture conversations but aren't structured knowledge
RAG systems can query documents but don't let LLMs write back
Vector databases require complex setups and often live in the cloud
Knowledge graphs typically need specialized tools to maintain
Local-first: All knowledge stays in files you control
Bi-directional: Both you and the LLM read and write to the same files
Structured yet simple: Uses familiar Markdown with semantic patterns
Traversable knowledge graph: LLMs can follow links between topics
Standard formats: Works with existing editors like Obsidian
Lightweight infrastructure: Just local files indexed in a local SQLite database

Requirements

uvx
Server Information

Status

Active

Version

1.0.0

License

GNU Affero General Public License v3.0

Author

https://github.com/basicmachines-co

Installation Guide
Get started with this MCP server in minutes

1. Install the Package

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2. Configuration

{
  "mcp": {
    "servers": {
      "basic-memory": {
        "command": "uvx",
        "args": [
          "basic-memory",
          "mcp"
        ]
      }
    }
  }
}

3. Usage Example

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