MEMCORD

Overview

MEMCORD is a privacy‑first, self‑hosted MCP server that turns every Claude conversation into an expandable, searchable knowledge base. It solves the perennial problem of lost context by providing infinite memory: every message, regardless of how many conversations have taken place, is stored locally and can be retrieved or queried at any time. This eliminates the need to copy‑paste logs into separate notes, keeping all dialogue in a single, coherent repository that grows with your projects.

The server offers intelligent auto‑summarization and smart tagging, automatically grouping related exchanges into folders or topics. When a new conversation touches an existing theme, MEMCORD merges the threads and removes duplicates, ensuring that your memory stays concise yet comprehensive. Because all data lives on your own machine—no cloud dependencies or third‑party APIs—developers who must comply with strict data‑privacy regulations can confidently use the tool without exposing sensitive information.

Key capabilities include:

• Contextual Retrieval: Search across all stored messages using natural language queries, instantly pulling relevant excerpts for reference or follow‑up.
• Memory Slots: Create named slots (e.g., “project_meeting”) to isolate conversations by project or topic, then switch between them with simple commands.
• Zero‑Mode: Temporarily disable saving while still interacting with Claude, useful for brainstorming or drafting drafts that you don’t want stored.
• Health Monitoring: Built‑in diagnostics track storage integrity, automatically fixing async issues that could flag the system as unhealthy.

In practice, MEMCORD shines in environments where long‑term knowledge retention is critical: product teams maintaining design histories, research groups documenting experiment logs, or developers building complex applications that require constant reference to past decisions. By integrating seamlessly with Claude Desktop, VS Code, and the new Claude Code MCP interface, developers can invoke memory operations directly from their workflow—no context switching required. The result is a fluid, privacy‑secure AI assistant that remembers everything you need, when you need it.