知识图谱内存服务器

by rmranjit · development · mcp-server, lobehub, tools

Medium setupBest for experimentalTrust score 22/100

MCP 服务器,用于通过知识图谱启用 Claude 的内存。支持通过 MEMORY_FILE_PATH 环境变量配置持久内存存储,指定自定义的 JSON 内存文件路径。

Source: https://github.com/RMRanjit/MCP-Memory

Install

git clone https://github.com/RMRanjit/MCP-Memory

Use this forAI-extracted

  • Build persistent memory systems for AI agents to recall previous conversations and context across sessions
  • Store and retrieve structured knowledge graphs for multi-turn dialogue applications
  • Maintain conversation history and learned facts in long-running AI assistant deployments

Works with

Claude CodeClaude Desktop

Tags: mcp-server, lobehub, tools

37 GitHub stars · Source: lobehub

About development MCP servers and Claude skills

development 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.

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Frequently asked questions

How do I install 知识图谱内存服务器?

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 知识图谱内存服务器?

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 知识图谱内存服务器 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.