mcp-memory-graph

by rlgjr1971 · ai-ml · mcp-server, smithery

A context-aware memory MCP server for Claude Code and any MCP-compatible AI agent. Goes beyond basic vector search by adding authority weighting, conflict detection, and typed relationship edges between memories — so your agent always retrieves the right answer when sources disagree. Inspired by the context engine architecture described in Unblocked's "How a Context Engine Actually Works". Why this exists Standard memory MCP servers store and retrieve memories by semantic similarity. That wor

Source: https://github.com/RetroRobAI/mcp-memory-graph

Install

git clone https://github.com/RetroRobAI/mcp-memory-graph

Tags: mcp-server, smithery

Source: smithery

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Frequently asked questions

How do I install mcp-memory-graph?

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 mcp-memory-graph?

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 mcp-memory-graph 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.