Semantic Mesh Memory (SEM)
Provides a coherent memory layer for LLM agents that models beliefs as nodes in a constraint network to detect and surface semantic contradictions. It uses local embeddings and a hybrid geometric-logical energy model to identify conflicting informati
What is Semantic Mesh Memory (SEM)?
Semantic Mesh Memory (SEM) is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to provides a coherent memory layer for llm agents that models beliefs as nodes in a constraint network to detect and surface semantic contradictions. it uses local embeddings and a hybrid geometric-logi...
Provides a coherent memory layer for LLM agents that models beliefs as nodes in a constraint network to detect and surface semantic contradictions. It uses local embeddings and a hybrid geometric-logical energy model to identify conflicting informati
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Provides a coherent memory layer for LLM agents that models
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx semantic-mesh-memory-sem-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Semantic Mesh Memory (SEM)
What is Semantic Mesh Memory (SEM)?
Semantic Mesh Memory (SEM) is a Model Context Protocol (MCP) server that provides a coherent memory layer for llm agents that models beliefs as nodes in a constraint network to detect and surface semantic contradictions. it uses local embeddings and a hybrid geometric-logical energy model to identify conflicting informati It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Semantic Mesh Memory (SEM)?
Follow the installation instructions on the Semantic Mesh Memory (SEM) GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Semantic Mesh Memory (SEM)?
Semantic Mesh Memory (SEM) works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Semantic Mesh Memory (SEM) free to use?
Yes, Semantic Mesh Memory (SEM) is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
Semantic Mesh Memory (SEM) Alternatives — Similar Knowledge & Memory Servers
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Everos
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Browse More Knowledge & Memory MCP Servers
Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Semantic Mesh Memory (SEM) in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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