by CheMiguel23 · MCP Server · ★ 335
MemoryMesh MemoryMesh is a knowledge graph server designed for AI models, with a focus on text-based RPGs and interactive storytelling. It helps AI maintain consistent, structured memory across conversations, enabling richer and more dynamic interactions. The project is based on the Knowledge Graph Memory Server from the MCP servers repository and retains its core functionality. IMPORTANT v0.3.0 Update: The MCP SDK has been updated from v1.0.4 to v1.25.2 to comply with the current Model Context Protocol specification (2025-11-25).
| Stars | 335 |
| Forks | 48 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67.1792143180615/100 |
| Open Issues | 7 |
| Last Updated | 2026-03-01 |
| Created | 2024-12-06 |
| Platforms | mcp, node |
| Est. Tokens | ~38k |
Explore other popular mcp server tools:
MemoryMesh is A knowledge graph server that uses the Model Context Protocol (MCP) to provide structured memory persistence for AI models.. It is categorized as a MCP Server with 335 GitHub stars.
MemoryMesh is primarily written in TypeScript. It covers topics such as ai, mcp.
You can find installation instructions and usage details in the MemoryMesh GitHub repository at github.com/CheMiguel23/MemoryMesh. The project has 335 stars and 48 forks, indicating an active community.
MemoryMesh is released under the MIT license, making it free to use and modify according to the license terms.