Mnemosyne

by kharshita590 · ai-ml · mcp-server, glama

Medium setupBest for experimentalTrust score 15/100

Provides persistent memory for LLM applications, enabling AI assistants to remember user preferences, facts, and conversation history across sessions.

Source: https://github.com/kharshita590/Mnemosyne

Install

git clone https://github.com/kharshita590/Mnemosyne

Use this forAI-extracted

  • Build persistent memory systems for multi-turn LLM conversations that retain context across sessions
  • Implement hybrid vector and keyword search to retrieve relevant past interactions for context injection
  • Create stateful chatbot applications that maintain conversation history and user context automatically

Works with

Claude DesktopClaude Code

Tags: mcp-server, glama

Source: glama

About ai-ml MCP servers and Claude skills

ai-ml MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.

Mnemosyne is one of hundreds of ai-ml entries indexed on Skiln. Browse the full ai-ml category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.

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Frequently asked questions

How do I install Mnemosyne?

Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.

Which clients support Mnemosyne?

Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.

Is Mnemosyne free?

The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.